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  • 251.
    Ahlskog, Mats
    et al.
    Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation.
    Bruch, Jessica
    Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation.
    Jackson, Mats
    Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation.
    Joint Development of a Manufacturing Technology: A Longitudinal Case Study within the Manufacturing Industry2015In: 22nd International Annual EurOMA Conference EurOMA15, 2015Conference paper (Refereed)
    Abstract [en]

    In order to compete within the manufacturing industry, there is a need to acquire and develop new manufacturing technologies to differentiate the company from others. Therefore, the purpose of this paper is to analyse factors affecting development of a manufacturing technology in a joint development project with an equipment supplier. A longitudinal case study has been conducted at a Swedish manufacturing company and the collaboration between a manufacturing company and an equipment supplier has been studied. The findings reveal that tacit knowledge and good equipment supplier relationship are highly important factors that facilitate development of a manufacturing technology.

  • 252.
    Ahlskog, Mats
    et al.
    Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation. Sch Innovat Design & Engn, Eskilstuna, Sweden..
    Bruch, Jessica
    Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation. Malardalen Univ, Sch Innovat Design & Engn, Dept Prod Realizat, Eskilstuna, Sweden..
    Jackson, Mats
    Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation. Malardalen Univ, Sch Innovat Design & Engn, Eskilstuna, Sweden..
    Knowledge integration in manufacturing technology development2017In: Journal of Manufacturing Technology Management, ISSN 1741-038X, E-ISSN 1758-7786, Vol. 28, no 8, p. 1035-1054Article in journal (Refereed)
    Abstract [en]

    Purpose - The purpose of this paper is to identify and analyze knowledge integration in manufacturing technology development projects required to build competitive advantages. Design/methodology/approach - A longitudinal case study has been conducted at a Swedish manufacturing company by following a manufacturing technology development project in real time during a two-year period. Findings - The results show that three different knowledge integration processes exist when developing unique manufacturing technology: processes for capturing, for joint learning, and for absorb learning. The findings of the current research suggest that the three knowledge integration processes are highly interrelated with each knowledge integration process affecting the other two. Research limitations/implications - The major limitation of the research is primarily associated with the single case, which limits generalizability outside the context that was studied. Practical implications - The findings are particularly relevant to manufacturing engineers working with the development of new manufacturing technologies. By using relevant knowledge integration processes and capabilities required to integrate the knowledge in manufacturing technology development projects, companies can improve design and organize the development of manufacturing technology. Originality/value - Previous research has merely noted that knowledge integration is required in the development of unique manufacturing technology, but without explaining how and in what way. This paper's contribution is the identification and analysis of three knowledge integration processes that contribute to the building of competitive advantages by developing unique manufacturing technology and new knowledge.

  • 253.
    Ahlskog, Mats
    et al.
    Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation.
    Bruch, Jessica
    Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation.
    Jackson, Mats
    Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation.
    Managing early manufacturing technology development – phases and key activities2016In: 23rd EurOMA conference EUROMA 2016, 2016Conference paper (Refereed)
    Abstract [en]

    In order to compete within the manufacturing industry, there is a need to acquire and develop new manufacturing technologies to differentiate the company from others. This paper builds on extant operations management and innovation management literature with the focus on how to managing early manufacturing technology development. A multiple case study has been conducted at a Swedish manufacturing company in the automotive industry and our paper proposes a conceptual process for early manufacturing technology development and the key activities therein. The findings are relevant for managers working with long-term development and the paper concludes by discussing implications and research limitations.

  • 254.
    Ahlskog, Mats
    et al.
    Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation.
    Jackson, Mats
    Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation.
    Bruch, Jessica
    Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation.
    Manufacturing Technology Readiness Assessment2015Conference paper (Other academic)
    Abstract [en]

    The purpose of this paper is to analyze and discuss how the MRL scale can support the assessment of a manufacturing technology’s maturity level. A single case study within the manufacturing industry has been conducted investigating the use of a MRL scale. An assessment of MRL 4 has been studied.

  • 255.
    Ahlstedt, C.
    et al.
    Department of Public Health and Caring Sciences, Health Services Research, Uppsala University, Uppsala, Sweden.
    Eriksson Lindvall, C.
    Department of Business Studies Uppsala University, Uppsala, Sweden.
    Holmström, Inger K.
    Mälardalen University, School of Health, Care and Social Welfare, Health and Welfare. Department of Public Health and Caring Sciences, Health Services Research, Uppsala University, Uppsala, Sweden.
    Muntlin Athlin, Å.
    Department of Public Health and Caring Sciences, Health Services Research, Uppsala University, Uppsala, Sweden.
    What makes registered nurses remain in work?: An ethnographic study2019In: International Journal of Nursing Studies, ISSN 0020-7489, E-ISSN 1873-491X, Vol. 89, p. 32-38Article in journal (Refereed)
    Abstract [en]

    Background: Registered nurses’ work-related stress, dissatisfaction and burnout are some of the problems in the healthcare and that negatively affect healthcare quality and patient care. A prerequisite for sustained high quality at work is that the registered nurses are motivated. High motivation has been proved to lead to better working results. The theory of inner work life describes the dynamic interplay between a person's perceptions, emotions and motivation and the three key factors for a good working life: nourishment, progress and catalysts. Objectives: The aim of the study was to explore registered nurses’ workday events in relation to inner work life theory, to better understand what influences registered nurses to remain in work. Design: A qualitative explorative study with an ethnographic approach. Methods: Participant observation over four months; in total 56 h with 479 events and 58 informal interviews during observation; all registered nurses employed at the unit (n = 10) were included. In addition, individual interviews were conducted after the observation period (n = 9). The dataset was analysed using thematic analysis and in the final step of the analysis the categories were reflected in relation to the three key factors in theory of inner work life. Results: Nourishment in a registered nurse context describes the work motivation created by the interpersonal support between colleagues. It was important to registered nurses that physicians and colleagues respected and trusted their knowledge in the daily work, and that they felt comfortable asking questions and supporting each other. Progress in the context of registered nurses’ work motivation was the feeling of moving forward with a mix of small wins and the perception of solving more complex challenges in daily work. It was also fundamental to the registered nurses’ development through new knowledge and learning during daily work. Catalysts, actions that directly facilitate the work, were highlighted as the possibility to work independently along with the opportunity to work together with other registered nurses. Conclusion: This study has a number of implications for future work and research on creating an attractive workplace for registered nurses. Working independently, with colleagues from the same profession, integrated with learning, visible progress, and receiving feedback from the work itself, contribute to work motivation. 

  • 256.
    Ahlsten, Catharina
    et al.
    Mälardalen University, School of Health, Care and Social Welfare.
    Eser-Persson, Ceklin
    Mälardalen University, School of Health, Care and Social Welfare.
    Sjuksköterskans upplevelse av att möta barn som misstänks vara utsatt för misshandel samt deras föräldrar på barnakutmottagningen2013Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
  • 257.
    Ahlström, Louise
    Mälardalen University, School of Innovation, Design and Engineering.
    Informationsmaterial till Europaskolan2008Student thesis
    Abstract [sv]

    Rapporten är resultatet av mitt examensarbete i Textdesign vid Mälardalens högskola. På uppdrag av Europaskolan i Strängnäs har ett informationsmaterial utvecklats och resulterat i en broschyr. Målgruppen är elever i årskurs nio som ska söka gymnasieutbildning. Rapporten beskriver det tillvägagångssätt som använts vid

    framtagningen av det nya informationsmaterialet. Med utgångspunkt i begreppen läsligt, läsbart och läsvärt har text, bild och layout utformats för att skapa en informativ och målgruppsanpassad broschyr. Metoder som använts är komparation, textanalys och litteraturstudier. Utprovningsmetoden som tillämpats är enskilda intervjuer med elever

    på Europaskolan. Slutsatser som dragits är att behovet av designad information ökar i dagens mediebrus och att sändarens budskap till mottagaren måste genomgå en hermeneutisk process.

  • 258.
    Ahluwalia, Arvind
    Mälardalen University, School of Innovation, Design and Engineering.
    Computer Controlled Direct Descent2017Independent thesis Basic level (degree of Bachelor), 180 HE creditsStudent thesis
    Abstract [en]

    How an aircraft performs its approach and descent towards an airport today has got big potential for improvements. It's mainly the environmental impact and safety that can, and must, be improved for a sustainable future in aviation. "Green Approaches" is a small, yet relatively well-known, optimized approach system mainly used by Scandinavian Airlines on Arlanda airport. Unfortunately "Green Approaches" aren't used often enough, due to the simple reason that it doesn't work very well during heavy traffic. Luckily further research is being done in this field to further optimize an aircraft’s approach. As of today, the most forward going research is being done by the FAA and NASA, and their new system is called NextGen OPD. The system is not fully developed yet but their goals are, as previously mentioned, to optimize today's aircraft approach. In this report the focus will also be set on improving aircraft approaches, although not by optimizing today’s system like the FAA and NASA. Instead, a whole new concept of how aircraft approach airports will be developed. The reason that a brand new concept will be developed is simple, optimizing today's aging system will not be sustainable for the future. Also, optimizing an aging system has its limits. By designing a whole new concept, a steady ground will be laid and it shall be sustainable for the coming century's technology. The new concept will be called ”C.C.D.D.”, Computer Controlled Direct Descent, and will have a lot of goals and expectations to fulfill. As hinted in the name, the new concept is built on the idea that a computer will be controlling the whole approach, and therefore the "Human factor" will more or less be eliminated. Although the main purpose of a new approach system is to decrease the negative environmental impact, by decreasing the fuel consumption during the approach. The new concept will also decrease the noise an aircraft makes during the descent and increase the possibility for a greater traffic flow in the airport’s airspace. The end result will be a "win-win" for everyone involved. An environmentally friendly aircraft approach is necessary for a sustainable future in aviation. C.C.D.D. is a system that will pay for itself with time, because of the decreased fuel consumption for airliners. The system also has the ability to be expanded to computer control departing aircrafts, due to the systems highly computerized structure and integration with airplanes autopilot.

  • 259.
    Ahlzén, Amanda
    Mälardalen University, School of Health, Care and Social Welfare.
    Konflikten mellan arbetsliv och familjeliv: En kvalitativ studie om småbarnsföräldrars upplevelser av psykisk hälsa och balans i tillvaron2015Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
    Abstract [en]

    Today's career choices and ambitions impose different demands on the individuals than in the past. In a labour market that demands flexibility and responsibility, the individuals are expected to be able to work almost anytime and from anywhere. These factors have contributed to an imbalance between work and family life that can trigger various forms of illness. In this study, I investigate how parents of young children perceive their mental health in relation to the balance between work and family life. This is achieved through a study that employs qualitative methods and data collection based on six individual semi-structured interviews, where the material is then analysed based on a manifest content analysis. The results show that today’s parents are well aware of the imbalance between their work and family life, and that this negatively affects their health in several ways, ranging from stress and anxiety to sleep problems and personal conflicts. To address this imbalance the parents creates routines, shared responsibilities at home, and allow personal time for leisure, in an attempt to create a form of control over this imbalance. The conclusion of this study is that parent’s experience that they have to have routines at work and family life, where the parents have lower demands on their own health.

  • 260.
    Ahlén, Jenny
    et al.
    Mälardalen University, School of Innovation, Design and Engineering.
    Nilsson, Frida
    Mälardalen University, School of Innovation, Design and Engineering.
    Att nätverka med systemiskt tänkande samt värdeskapande perspektiv: Värdeskapande perspektiv, systemiskt tänkande, nätverkande2018Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
  • 261.
    Ahlén, Kritsoffer
    et al.
    Mälardalen University, School of Innovation, Design and Engineering.
    Rosén, Malin
    Mälardalen University, School of Innovation, Design and Engineering.
    Simulering som konstruktionsstöd2013Independent thesis Basic level (university diploma), 10 credits / 15 HE creditsStudent thesis
  • 262.
    Ahlén, Richard
    et al.
    Mälardalen University, School of Innovation, Design and Engineering.
    Grönholm, Robin
    Mälardalen University, School of Innovation, Design and Engineering.
    En analys av ljudlatens i Windows 10 på tillgängliga enheter2016Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
    Abstract [en]

    This report is written during a project done by two students at Mälardalen University during the course DVA331. The purpose of this project was to determine if it was possible to reduce the latency on devices with Windows 10 to what is possible on an iOS device. The reason behind this research is that Windows 10 has come with an API that supports low latency sounds. This study was made on an iPhone 4S, iPhone 6, Nokia Lumia 720 and a Nokia Lumia 920 with a contact microphone that was put on the device. The latency was measured 50 times per version of an application implemented for both operating systems. The latency could be measured between the point where the surface is touched and and the point where sound is audible, using the microphone and the audio processing software Audacity. The readings proved that iOS is still a lot faster than Windows 10 and that Windows 10 is way above the accepted audio processing limit. Further research showed that the Windows 10 reading results were caused by the Lumia devices long input latency. User tests were made on 10 individuals with the response that the latency on the Windows 10 devices was a lot longer than the iOS devices. The conclusion was that the Lumia devices used in this study were not suitable for responsive sound applications but that Windows 10 devices with lower input latency that are better suited and that new readings should be done to determine if this is the case.

  • 263.
    Ahmad, Manzoor
    Mälardalen University, School of Innovation, Design and Engineering.
    A Code Generator for Software Component Services in Smart Devices2010Independent thesis Advanced level (degree of Master (One Year)), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    A component is built to be reused and reusability has significant impact on component generality and flexibility requirement. A component model plays a critical role in reusability of software component and defines a set of standards for component implementation, evolution, composition, deployment and standardization of the run-time environment for execution of component. In component based development (CBD), standardization of the runtime environment includes specification of component’s interfaces – general and domain specific run-time services. For rapid development of component based system for distributed information systems, COM+ and .NET technologies introduced the idea of Software Component Services that are achieved by proxy objects which intercept message calls between components to provide service like transaction handling, security management, etc.

    An embedded real-time system (ERTS) designed for a specific purpose in which software tasks have hard real-time constraints to execute and it interact directly with its environment via buses, sensors and other devices. In an embedded real time system, it is great importance to ensure that all tasks of the software system should respond within the time limits. Component based development process have vital role in development of embedded real time system and recently software component models applied in the embedded real-time systems (ERTS) and introduced software component services (SCS) for ERTS.

    The purpose of this Master thesis is to investigate how to make tool that targets smart device projects in Microsoft Visual Studio and generates proxy objects that can be compiled with Microsoft Visual Studio.NET. The tool generates a complete set of files for a Microsoft Visual Studio smart device project within solution, including both source code and configuration files according to a specific version of Visual Studio by invoking Visual Studio’s automation object model. The tool also generates code for simple logging services for the .NET component running on top of the .NET Compact framework.

     

  • 264.
    Ahmad, Mushtaq
    et al.
    Mälardalen University, School of Sustainable Development of Society and Technology.
    Afzaal, Muhammad
    Mälardalen University, School of Sustainable Development of Society and Technology.
    Svensk Direktreklam, Reinvention Of Business Model To Retain Customers: Reinvention Of Business Model To Retain Customers2009Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
    Abstract [en]

    Abstract:

    Date:

    June 2, 2009

    Level:

    Master Thesis, EFO 705 (15 credits)

    Program:

    Masters in International Marketing

    Supervisor:

    Joakim Netz

    Authors:

    Muhammad Afzaal (751016-T115), Mushtaq Ahmad (711224-T091)

    Title:

    Directreklam)

    Reinvention of Business Model to Retain Customers for SDR (Svensk

    Problem:

    the market and its customers were sharing their business with competitors so there was

    a need for SDR to reinvent its business model to retain its existing customers and gain

    new customers.

    The market share of SDR was decreasing due to increase in competition in

    Research question:

    to retain its customers?”

    “How can a service company like SDR reinvent its business model

    Method:

    applied. Both primary and secondary data has been gathered, primary data was

    gathered through interviews from customers of SDR and SDR company officials.

    Thesis has followed inductive research and a qualitative approach has been

    Conclusion:

    are identified which could be the reasons for the decline in the business of the

    company. Many changes are required in company´s business model to retain

    customers. SDR Customers are interested to have result oriented services means

    significant response from the market which could be achieved by making appropriate

    adaptations in the business model.

    In this study, business model of SDR has been studied and some gaps

    Keywords:

    market share, Reinvention.

    Svensk Directreklam (SDR), business model, retain and gain customers,

  • 265.
    Ahmad, Mustafa
    et al.
    Mälardalen University, School of Innovation, Design and Engineering.
    Boukli, Tarék
    Mälardalen University, School of Innovation, Design and Engineering.
    Continuing Airworthiness Management Exposition: For Priority Aero Maintenance2012Independent thesis Basic level (university diploma), 10 credits / 15 HE creditsStudent thesis
    Abstract [en]

    The economic crisis has affected the airline industry as much as it has affected all other industries in the world. The small airlines and maintenance organisations must find new opportunities and options in order to survive the harsh crisis. Priority Aero Maintenance is now an approved maintenance organisation performing maintenance on aircrafts, engines and components. The company sees economic gains in the future by becoming an approved organisation that follows the European Aviation Safety Agency guidelines (EASA) and meets the requirements outlined in the rules of Part-M.

    In order for the company to become an approved organization, responsible for continuing airworthiness of aircraft, a handbook should be presented to the local authority. This handbook describes the company’s responsibility for the continuing airworthiness in order for the authorities to get an insight into the company and its work.

    This thesis resulted in a draft of CAME (Continuing Airworthiness Management Exposition) and this draft has been approved by Priority Aero Maintenance.

    The CAME will in the future be used by the company as a basis for developing a more detailed manual to be presented to and approved by the Swedish Aviation Authority (Transportstyrelsen).

  • 266.
    Ahmadi, Dara
    et al.
    Mälardalen University, School of Innovation, Design and Engineering.
    Panin, Vadim
    Mälardalen University, School of Innovation, Design and Engineering.
    Skissamarbete på digitala plattformar2019Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
    Abstract [en]

    Computer-Supported Cooperative Work (CSCW) relates to working in group by distance using computer-based systems and aims to achieve the optimal efficiency in the group's working process. Such systems include computersupported collaborative sketching system. In interaction design, there is an interest in sketch collaboration on digital systems. We have therefore chosen, within the frame of this work, to investigate whether collaborative sketching using digital platform applications lead to an effective way of working for designers and what functionalities such applications should include. To get answers to our questions, we have chosen to create an Android as well as a Web application for sketch collaboration. In our applications we have considered the designers' wishes regarding functionalities. The applications were used in a research to be able to analyze how designers collaborate on digital platforms. Our results have proven that collaborative sketching on digital platforms is a smooth and mobile way of working which involves active discussions, creating new ideas and better solutions, contributes to knowledge transfer and a better working environment and interaction between designers.

  • 267.
    Ahmadi, Fereshteh
    et al.
    University of Gävle, Gävle, Sweden.
    Darvishpour, Mehrdad
    Mälardalen University, School of Health, Care and Social Welfare, Health and Welfare.
    Ahmadi, Nader
    University of Gävle, Gävle, Sweden;.
    Palm, Irving
    Uppsala Universitet, Uppsala, Sweden.
    Diversity barometer: attitude changes in SwedenIn: Nordic Social Work Research, ISSN 2156-857X, E-ISSN 2156-8588Article, review/survey (Refereed)
    Abstract [en]

    he aim of this article is to elucidate and discuss the results of the 2016 Diversity Barometer (Mångfaldsbarometern) and compare these results with those obtained from ten years of the longitudinal Diversity Barometers for 2005?2014. An additional aim is to demonstrate whether and how Swedish people?s experiences of and attitudes toward people with a foreign background and ethnic diversity have changed.A random sample of the Swedish population took part in the annual study, which was carried out in the form of a nationwide postal survey. The results show that negative attitudes toward ethnic and cultural diversity in general, and migrant population in particular, have increased to some extent and with respect to certain issues. Views on diversity in relation to culture and religion ? especially Islam ? were more negative than views on diversity in relation to work. Those who have larger experience of contact with foreigners show a more positive attitude toward diversity compared with those with limited experience and contact. Individuals who have higher education, those who identify themselves as female, younger persons and those living in large cities are more positive than other groups. In our analysis of the empirical data, we proceeded from a social work perspective and applied contact theory and group conflict theories relating attitudes to group position.

  • 268.
    Ahmadi, Mansour
    Mälardalen University, School of Innovation, Design and Engineering.
    The application of system dynamics and discrete event simulation in supply chain management of Swedish manufacturing industries2012Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    Increasing competition from traditional and emerging channels has placed new emphasis on rapid innovation and continuous differentiation in every aspect of supply chain, from earliest production stage to the final distribution steps. To bridge the gap between brilliant ideas and successful business initiatives, leading companies implement engineering simulation particularly in logistics and supply chain management (LSCM). Discrete event simulation (DES) and system dynamics (SD) are two modeling approaches widely used in this field. However there are not much done researches about the applications of these simulation approaches in supply chain context of Swedish Manufacturing Industries (SMI). This study explores the application of DES and SD in LSCM of SMI by looking at the nature and level of issues modeled. Journal papers and master theses that use these modeling approaches to study supply chains, published between 1990 and 2012 are reviewed. A total of 39 articles are analyzed to identify the frequency with which the two simulation approaches are used as modeling tools in LSCM of SMI. Our findings suggest that DES has been used more frequently to model supply chains in SMI. The results also show that not all the LSCM issues have been addressed evenly and generally tactical/operational issues have been modeled more frequently. The results of this study inform the existing literature about the use of DES and SD in LSCM of SMI.

  • 269.
    Ahmadzade, Peyman
    et al.
    Mälardalen University, School of Business, Society and Engineering.
    Sathianbun, Sarayut
    Mälardalen University, School of Business, Society and Engineering.
    Vidhäftning mellan prefabelement och pågjutningsbetong: Undersökning hur skrovligheten påverkar vidhäftningskapaciteten vid skjuvning2014Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    Self-compacting concrete has soon been around for a decade. Recently the prefabrication industry has started to use this fairly new concrete type in larger scales, mainly because of its distinctive properties.  There are still certain areas that need to be thoroughly examined, such as bond capacity. There have been very few studies regarding shear capacity due to the fact that the procedure is complicated.

    This report will highlight a method to examine the shear capacity of different surfaces that have been prewetted as well as non-prewetted surfaces. The surface areas follow BBK 04’s and Eurocode 2’s demand for surface roughness.  A smooth surface will be completed in order to confirm if the different shapes influence the bond strength by shear stress or not.                       

    The purpose of this essay is to measure the bond strength within the shear capacity as well as examine the impact it has on surface roughness and treatment for shear bond.

    The method used to identify the shear capacity is called L-shaped Push-Off Test. The dimension of the object was selected with the help of a previous research paper. The Sand-Patch method is predominantly used to measure the surface roughness. 

    The results showed no difference between the demands of surfaces of BBK04 and Eurocode 2 considering the shear capacity. However the non-prewetted surface was measured with the highest shear capacity value. Apart from the shear strength, deformation was measured in both vertical and horizontal direction and it was clearly shown that the vertical deformation was measured to be ten times higher than the horizontal deformation.  There was no difference between the BBK 04 and Eurocode 2 considering the vertical deformation. However the difference occurred on the horizontal direction between BBK 04 and Eurocode 2 where the specimens of Eurocode 2 received three times higher deformation compared to BBK 04. The conclusion can be drawn that the surface roughness of BBK 04 would be more suitable than eurocode2 considering deformation.     

    The overall result was that the surface treatment with the demands of BBK 04 and Eurocode 2 showed minor difference after being measured with the Push-Off Test method. This has been confirmed with the estimated shear capacity (1.2 MPa). The results revealed that the treatment of surface could be made in either way, brush or rake. As a conclusion the assessment of the shear strength showed that Eurocode 2's demand is too strict comparing demands of BBK 04.

  • 270.
    Ahmadzadeh, Farzaneh
    Islamic Azad University of Karaj Branch, Karaj, Tehran, Iran .
    Change point detection with multivariate control charts by artificial neural network2009In: International Journal of Advanced Manufacturing Technology IJAMT, ISSN 0268-3768, p. 1-12Article in journal (Refereed)
  • 271.
    Ahmadzadeh, Farzaneh
    Islamic Azad University, Iran.
    Diagnosing the Cause and Its Timing of Changes in Multivariate Process Mean Vector From Quality Control Charts Using Artificial Neural Network2011In: World Academy of Science, Engineering and Technology: An International Journal of Science, Engineering and Technology, ISSN 2010-376X, E-ISSN 2070-3740, Vol. 5, no 6, p. 212-217Article in journal (Refereed)
    Abstract [en]

    Quality control charts are very effective in detecting out of control signals but when a control chart signals an out of control condition of the process mean, searching for a special cause in the vicinity of the signal time would not always lead to prompt identification of the source(s) of the out of control condition as the change point in the process parameter(s) is usually different from the signal time. It is very important to manufacturer to determine at what point and which parameters in the past caused the signal. Early warning of process change would expedite the search for the special causes and enhance quality at lower cost. In this paper the quality variables under investigation are assumed to follow a multivariate normal distribution with known means and variance-covariance matrix and the process means after one step change remain at the new level until the special cause is being identified and removed, also it is supposed that only one variable could be changed at the same time. This research applies artificial neural network (ANN) to identify the time the change occurred and the parameter which caused the change or shift. The performance of the approach was assessed through a computer simulation experiment. The results show that neural network performs effectively and equally well for the whole shift magnitude which has been considered.

  • 272.
    Ahmadzadeh, Farzaneh
    Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation.
    Multi criteria decision making with Evidential Reasoning under uncertainty2016In: IEEE International Conference on Industrial Engineering and Engineering Management, 2016, p. 1534-1538Conference paper (Refereed)
    Abstract [en]

    Many decision problems have more than one objective that need to be dealt with simultaneously. Moreover, because of the qualitative nature of the most of real world problem it is an inevitable activity and very important to interpret and present the uncertain information for making effective decision. The Evidential Reasoning (ER) approach which is one of the latest development within multi criteria decision making (MCDM) seems to be the best fit to synthesize both qualitative and quantitative data under uncertainty. To support this claim, two case studies were tested to illustrate the application of ER for prioritization and ranking of decision alternative to support decision process even with uncertain information. The importance of having a better structured decision process is essential for the success of any organization, so it can be applied widely in most of real world problem dealing with making effective decision.

  • 273.
    Ahmadzadeh, Farzaneh
    Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation.
    Ranking of Two Multi Criteria Decision Making Cases with Evidential Reasoning under Uncertainty2017In: Advances in Science, Technology and Engineering Systems Journal V2(3) ASTESJ-V2(3), ISSN 2415-6698, Vol. 2, no 3, p. 1059-1063Article in journal (Refereed)
    Abstract [en]

    Many decision problems have more than one objective that need to be dealt with simultaneously. Moreover, because of the qualitative nature of the most of real world problem it is an inevitable activity and very important to interpret and present the uncertain information for making effective decision. The Evidential Reasoning (ER) approach which is one of the latest development within multi criteria decision making (MCDM) seems to be the best fit to synthesize both qualitative and quantitative data under uncertainty. To support this claim, two case studies were tested to illustrate the application of ER for prioritization and ranking of decision alternative to support decision process even with uncertain information. The overall goal of the first case study is to identify and prioritize factors that can be considered maintenance-related waste within the automotive manufacturing industry. The result after applying ER shows “inadequate resources” and “weather /indoor climate,” respectively, are the highest and lowest average scores for creating maintenance-related waste. This prioritization methodology can be used as a tool to create awareness for managers seeking to reduce or eliminate maintenance-related waste. The aim of the second case study is to look at the possibility of having a new approach for sustainable design. So through a literature review six design strategies were taken into consideration in order to develop a new approach based on all advantages (sustainable factors) of the six approaches. For ranking and finding out about the most important factors the evidential reasoning (ER) approach is used. Based on ER all the important factors, apart from the one collected from interviews are a part of eco-design. So it means among all strategies eco-design is the most dominant strategy in term of environment. However two of the important factors are not found in any strategy but in interviews. These factors can be used as the building blocks for a new approach. The importance of having a better structured decision process is essential for the success of any organization, so it can be applied widely in most of real world problem dealing with making effective decision.

  • 274.
    Ahmadzadeh, Farzaneh
    et al.
    Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation.
    Bengtsson, Marcus
    Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation.
    Classification of Maintenance-Related Waste Based on Human Factors2015In: 22nd International Annual EurOMA Conference EurOMA15, Neuchâtel, Switzerland, 2015Conference paper (Refereed)
    Abstract [en]

    The goal of this research is to identify and classify factors creating maintenance-related waste. A workshop study has been performed in order to identify root-causes for maintenance-related waste. In total, 16 categories were found in the analysis and it is concluded that these are heavily reliant on human factors as a root- or major contributory cause. These, together with factors based on a literature review have been incorporated into a classification model. The model can be used in creating awareness in, as well as provide a basic framework for decision making of, which waste to target for elimination.

  • 275.
    Ahmadzadeh, Farzaneh
    et al.
    Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation.
    Bengtsson, Marcus
    Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation.
    Using evidential reasoning approach for prioritization of maintenance-related waste caused by human factors-a case study2017In: The International Journal of Advanced Manufacturing Technology, ISSN 0268-3768, E-ISSN 1433-3015, Vol. 90, no 9-12, p. 2761-2775Article in journal (Refereed)
    Abstract [en]

    The reduction and elimination of maintenance-related waste is receiving increasing attention because of the negative effect of such waste on production costs. The overall goal of this research is to identify and prioritize factors that can be considered maintenance-related waste within the automotive manufacturing industry. Five manufacturing companies participated in a workshop to identify root causes of maintenance-related waste; 16 categories were found. The identified factors were heavily reliant on human factors as a root or major contributory cause at different levels affecting performance and productivity. For prioritization, the evidential reasoning (ER) approach which is one of the latest developments in multi-criteria decision-making is applied. A basic tree structure necessary for ER assessment is developed based on the workshop results as well as literature on human factors. Then, a survey on basic attributes at the lowest level of this tree is designed and performed at one of the companies participating in the workshop. The application of ER shows that, on an overall level, "management condition" is in first order and "maintainer condition" and "working condition" are in second and third order respectively as the worst cases for creating maintenance-related waste. On the most delimited level "inadequate resources" and "weather/indoor climate" have the highest and lowest average scores respectively in ER ranking or prioritization. This methodology with its resulting ranking can be used as a tool to create awareness for managers seeking to reduce or eliminate maintenance-related waste.

  • 276.
    Ahmadzadeh, Farzaneh
    et al.
    Luleå University of Technology, Sweden.
    Golshani Asl, Aliakbar
    Luleå University of Technology, Sweden.
    Risk Prioritization Based on Health, Safety and Environmental Factors by Using Fuzzy FMEA2013In: International Journal of Mining, Metallurgy & Mechanical Engineering, ISSN 2320-4052, Vol. 1, no 4, p. 233-237Article in journal (Refereed)
    Abstract [en]

    Failure Mode and Effects Analysis is assessing technique which relies to the rule of preventing failure, which is used to identify potential hazards. This method is used with minimum risks to predict the problems and deficits in design stage or development of the processes and services in organizations. The methods main principal is based on multiplying three main parameters: severity, occurrence, detection. This method with all the advantages still has minor disadvantages that in this paper attempts has been made to eliminate these deficiencies by fuzzification. Results show that fuzzy FMEA will enables us to evaluate situations correctly and precisely.

  • 277.
    Ahmadzadeh, Farzaneh
    et al.
    Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation.
    Jederström, Kathrina
    Mälardalen University.
    Plahn, Maria
    Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation.
    Olsson, Anna
    Mälardalen University.
    Foyer, Isabell
    Mälardalen University.
    AN INVESTIGATION OF THE MOST IMPORTANT FACTORS FOR SUSTAINABLE PRODUCT DEVELOPMENT USING EVIDENTIAL REASONING2017In: Numerical Algebra, Control and Optimization, ISSN 2155-3289, E-ISSN 2155-3297, Vol. 7, no 4, p. 435-455Article in journal (Refereed)
    Abstract [en]

    Those working in product development need to consider sustain ability, being careful not to compromise the future generations ability to satisfy its needs. Several strategies guide companies towards sustainability. This paper studies six of these strategies: eco-design, green design, cradle-to-cradle, design for environment, zero waste, and life cycle approaches. Based on a literature review and semi-structured interviews, it identifies 22 factors of sustainability from the perspective of manufacturers. The purpose is to determine which are the most important and to use them as a foundation for a new design strategy. A survey based on the 22 factors was given to people working with product development; they graded each factor by importance. The resulting qualitative data were analyzed using evidential reasoning. The analysis found the factors minimize use of toxic substances, increase competitiveness, economic benefits, reduce material usage, material selection, reduce emissions, and increase product functionality are more important and should serve as the foundation for a new approach to sustainable product development.

  • 278.
    Ahmadzadeh, Farzaneh
    et al.
    Luleå University of Technology, Luleå, Sweden .
    Lundberg, J.
    Luleå University of Technology, Luleå, Sweden .
    Remaining useful life prediction of grinding mill liners using an artificial neural network2013In: Minerals Engineering, ISSN 0892-6875, E-ISSN 1872-9444, Vol. 53, p. 1-8Article in journal (Refereed)
    Abstract [en]

    Knowing the remaining useful life of grinding mill liners would greatly facilitate maintenance decisions. Now, a mill must be stopped periodically so that the maintenance engineer can enter, measure the liners' wear, and make the appropriate maintenance decision. As mill stoppage leads to heavy production losses, the main aim of this study is to develop a method which predicts the remaining useful life of the liners, without needing to stop the mill. Because of the proven ability of artificial neural networks (ANNs) to recognize complex relationships between input and output variables, as well as its adaptive and parallel information-processing structure, an ANN has been designed based on the various process parameters which influence wear of the liners. The process parameters were considered as inputs while remaining height and remaining life of the liners were outputs. The results show remarkably high degree of correlation between the input and output variables. The performance of the neural network model is very consistent for data used for training (seen) and testing (unseen).

  • 279.
    Ahmadzadeh, Farzaneh
    et al.
    Luleå University of Technology, Sweden.
    Lundberg, Jan
    Luleå University of Technology, Sweden.
    Application of multi regressive linear model and neural network for wear prediction of grinding mill liners2013In: International Journal of Advanced Computer Sciences and Applications, ISSN 2158-107X, E-ISSN 2156-5570, Vol. 4, no 5, p. 52-58Article in journal (Refereed)
    Abstract [en]

    The liner of an ore grinding mill is a critical component in the grinding process, necessary for both high metal recovery and shell protection. From an economic point of view, it is important to keep mill liners in operation as long as possible, minimising the downtime for maintenance or repair. Therefore, predicting their wear is crucial. This paper tests different methods of predicting wear in the context of remaining height and remaining life of the liners. The key concern is to make decisions on replacement and maintenance without stopping the mill for extra inspection as this leads to financial savings. The paper applies linear multiple regression and artificial neural networks (ANN) techniques to determine the most suitable methodology for predicting wear. The advantages of the ANN model over the traditional approach of multiple regression analysis include its high accuracy.

  • 280.
    Ahmadzadeh, Farzaneh
    et al.
    Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation. Luleå University of Technology, Luleå, Sweden.
    Lundberg, Jan
    Luleå University of Technology, Luleå, Sweden.
    Remaining useful life estimation: Review2014In: International Journal of Systems Assurance Engineering and Management, ISSN 0975-6809, E-ISSN 0976-4348, Vol. 5, no 4, p. 461-474Article, book review (Other academic)
    Abstract [en]

    This paper reviews the recent modelling developments in estimating the remaining useful life (RUL) of industrial systems. The RUL estimation models are categorized into experimental, data driven, physics based and hybrid approaches. The paper reviews some typical approaches and discusses their advantages and disadvantages. According to the literature, the selection of the best model depends on the level of accuracy and availability of data. In cases of quick estimations which are less accurate, the data driven method is preferred, while the physics based approach is applied when the accuracy of estimation is important.

  • 281.
    Ahmadzadeh, Farzaneh
    et al.
    Luleå University of Technology, Luleå, Sweden.
    Lundberg, Jan
    Luleå University of Technology, Luleå, Sweden.
    Strömberg, Thomas
    Luleå University of Technology, Luleå, Sweden.
    Multivariate process parameter change identification by neural network2013In: The International Journal of Advanced Manufacturing Technology, ISSN 0268-3768, E-ISSN 1433-3015, Vol. 69, no 9-12, p. 2261-2268Article in journal (Refereed)
    Abstract [en]

    Whenever there is an out-of-control signal in process parameter control charts, maintenance engineers try to diagnose the cause near the time of the signal which does not always lead to prompt identification of the source(s) of the out-of-control condition, and this in some cases yields to extremely high monetary loses for the manufacturer owner. This paper applies multivariate exponentially weighted moving average (MEWMA) control charts and neural networks to make the signal identification more effective. The simulation of this procedure shows that this new control chart can be very effective in detecting the actual change point for all process dimension and all shift magnitudes considered. This methodology can be used in manufacturing and process industries to predict change points and expedite the search for failure causing parameters, resulting in improved quality at reduced overall cost. This research shows development of MEWMA by usage of neural network for identifying the step change-point and the variable responsible for the change in the process mean vector.

  • 282.
    Ahmed, Arslan
    et al.
    Mälardalen University. Mälardalen University, School of Sustainable Development of Society and Technology.
    Pang, Zhaohua
    Mälardalen University. Mälardalen University, School of Sustainable Development of Society and Technology.
    CORPORATE CULTURE IN AN INTERNATIONAL JOINT VENTURE - A case study of Sony Ericsson2009Independent thesis Advanced level (degree of Master (One Year)), 15 credits / 22,5 HE creditsStudent thesis
    Abstract [en]

    Research Problem: To what extent the corporate culture of an international joint venture resembles the organizational and national culture of its parent firms?

    Purpose: The purpose of this research is to study and explain the organizational and national culture of the partner companies that are involved in the international joint venture and finds out the extent to which the corporate culture that is embedded in the joint venture possess a resemblance with its parent's culture.

    Method: Our research is qualitative in nature and is based upon the case study and the secondary information gathered during the research. We have also taken into account some primary information through conducting three semi-structured interviews from each of the company involved in the joint venture. All the information collected during the course of our research has been analyzed in such a manner that has eventually led us to a formidable conclusion.

    Conclusion: After the analysis of results, both from the interviews and the secondary information, we came to a conclusion that the corporate culture at the joint venture possess some similarities with the national and organizational cultures of its parent firms and this likeness depends upon the location of origin of the joint venture and the employees working in it.   

  • 283.
    Ahmed, Athar Nadeem
    Mälardalen University, School of Innovation, Design and Engineering.
    Wireless inertial measurement unit for industrial robotic arm2013Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
  • 284.
    Ahmed, B. S.
    et al.
    Istituto Dalle Molle di Studi Sull'Intelligenza Artificiale (IDSIA), Manno-Lugano, Switzerland.
    Sahib, M. A.
    Software and Informatics Engineering Department, Engineering College, Salahaddin University - Erbil, Iraq.
    Gambardella, L. M.
    Istituto Dalle Molle di Studi Sull'Intelligenza Artificiale (IDSIA), Manno-Lugano, Switzerland.
    Afzal, Wasif
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    Zamli, K. Z.
    IBM Centre of Excellence, Faculty of Computer Systems and Software Engineering, Universiti Malaysia Pahang Lebuhraya Tun Razak, Kuantan, Pahang Darul Makmur, Malaysia.
    Optimum design of PIλDμ controller for an automatic voltage regulator system using combinatorial test design2016In: PLoS ONE, ISSN 1932-6203, E-ISSN 1932-6203, Vol. 11, no 11, article id e0166150Article in journal (Refereed)
    Abstract [en]

    Combinatorial test design is a plan of test that aims to reduce the amount of test cases systematically by choosing a subset of the test cases based on the combination of input variables. The subset covers all possible combinations of a given strength and hence tries to match the effectiveness of the exhaustive set. This mechanism of reduction has been used successfully in software testing research with t-way testing (where t indicates the interaction strength of combinations). Potentially, other systems may exhibit many similarities with this approach. Hence, it could form an emerging application in different areas of research due to its usefulness. To this end, more recently it has been applied in a few research areas successfully. In this paper, we explore the applicability of combinatorial test design technique for Fractional Order (FO), Proportional-Integral-Derivative (PID) parameter design controller, named as FOPID, for an automatic voltage regulator (AVR) system. Throughout the paper, we justify this new application theoretically and practically through simulations. In addition, we report on first experiments indicating its practical use in this field. We design different algorithms and adapted other strategies to cover all the combinations with an optimum and effective test set. Our findings indicate that combinatorial test design can find the combinations that lead to optimum design. Besides this, we also found that by increasing the strength of combination, we can approach to the optimum design in a way that with only 4-way combinatorial set, we can get the effectiveness of an exhaustive test set. This significantly reduced the number of tests needed and thus leads to an approach that optimizes design of parameters quickly. © 2016 Ahmed et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

  • 285.
    Ahmed, Bestoun
    et al.
    Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA), Switzerland.
    Gambardella, Luca
    Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA), Switzerland.
    Afzal, Wasif
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    Zamli, Kamal
    University Malaysia Pahang, Gambang, Malaysia.
    Handling Constraints in Combinatorial Interaction Testing in the Presence of Multi Objective Particle Swarm and Multithreading2017In: Information and Software Technology, ISSN 0950-5849, E-ISSN 1873-6025, Vol. 86, no 01, p. 20-36Article in journal (Refereed)
    Abstract [en]

    Combinatorial strategies have received a lot of attention lately as a result of their diverse applications in areas of research, particularly in software engineering. In its simple form, a combinatorial strategy can reduce several input parameters (configurations) of a system into a small set of these parameters based on their interaction (combination). However, in practice, the input configurations of software systems are subjected to constraints, especially highly configurable systems. To implement this feature within a strategy, many difficulties arise for construction. While there are many combinatorial interaction testing strategies nowadays, few of them support constraints. This paper presents a new strategy, called Octopus to construct a combinatorial interaction test suites with the presence of constraints. The design and algorithms are provided in the paper in detail. The strategy is inspired by the behaviour of octopus to search for the optimal solution using multi-threading mechanism. To overcome the multi judgement criteria for an optimal solution, the multi-objective particle swarm optimisation is used. The strategy and its algorithms are evaluated extensively using different benchmarks and comparisons. The evaluation results showed the efficiency of each algorithm in the strategy. The benchmarking results also showed that Octopus can generate test suites efficiently as compared to state-of-the-art strategies.

  • 286.
    Ahmed, Bestoun
    et al.
    Czech Technical University, Czech Republic.
    Zamli, Kamal
    University Malaysia Pahang, Gambang, Malaysia..
    Afzal, Wasif
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    Bures, Miroslav
    Czech Technical University, Czech Republic.
    Constrained Interaction Testing: A Systematic Literature Study2017In: IEEE Access, E-ISSN 2169-3536, IEEE Access, ISSN 2169-3536, Vol. PP, no 99Article, book review (Other academic)
    Abstract [en]

    Interaction testing can be used to effectively detect faults that are otherwise difficult to find by other testing techniques. However, in practice, the input configurations of software systems are subjected to constraints, especially in the case of highly configurable systems. Handling constraints effectively and efficiently in combinatorial interaction testing is a challenging problem. Nevertheless, researchers have attacked this challenge through different techniques, and much progress has been achieved in the past decade. Thus, it is useful to reflect on the current achievements and shortcomings and to identify potential areas of improvements. This paper presents the first comprehensive and systematic literature study to structure and categorize the research contributions for constrained interaction testing. Following the guidelines of conducting a literature study, the relevant data is extracted from a set of 103 research papers belonging to constrained interaction testing. The topics addressed in constrained interaction testing research are classified into four categories of constraint test generation, application, generation & application and model validation studies. The papers within each of these categories are extensively reviewed. Apart from answering several other research questions, this study also discusses the applications of constrained interaction testing in several domains such as software product lines, fault detection & characterization, test selection, security and GUI testing. The study ends with a discussion of limitations, challenges and future work in the area.

  • 287.
    Ahmed Farah, Farah
    Mälardalen University, School of Sustainable Development of Society and Technology.
    Studenters förtroende för E-handel.2008Independent thesis Basic level (degree of Bachelor), 10 points / 15 hpStudent thesis
  • 288.
    Ahmed Ibrahim, Abdulla
    et al.
    Mälardalen University, School of Sustainable Development of Society and Technology.
    Andersson, Alexis
    Mälardalen University, School of Sustainable Development of Society and Technology.
    Aggregerade kundmissnöjen i informationssystem – En fallstudie av Nordea Bank2012Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
    Abstract [en]

    Abstract“Aggregate complaints in banks MIS”

    Date:                       June 8th 2012

    Level:                      Master thesis in Business Administration, 15 ECTS

    Institution:                School of Sustainable development of society and technology, Mälardalen University

    Authors:                  Abdulla Ahmed Ibrahim         Alexis Andersson

    Title:                       Aggregate complaints in MIS – A case study of Nordea Bank

    Tutor:                      Carl G Thunman

    Keywords:               Aggregate, complaint, dissatisfaction, content analysis, Nordea, MIS.

    Purpose:                  The paper aims to develop a model of how Nordea Bank can monitor customer dissatisfaction through aggregated dissatisfaction analysis. Furthermore, the study aims to identify improvement proposals in Nordea based on the developed model and conducted interviews.

    Method:                  This thesis consists of qualitative interviews. Personnel at the local office in Västerås has been interviewed as well as Nordea’s customer ombudsmen, former office employee at Nordea, data analyst, head of customer inquiries, Professor of database technology and also a researcher in language technology. A proprietary model was built based on the literature review constructed on variables that were expected to influence the monitoring process. The proprietary model was based on theory and formed the interview guide. The method that was used on the empirical data where “cut and paste”. The method was used to be able to place the interviews under each appropriate heading. The analysis then compared the empirical data with theories from the literature review, to be able to conduct a revised model and come up with a number of suggestions for improvement.

    Conclusion:            The model assumes wrongly that complaint and other grievances information can be integrated in the same process. There are several aggravating factors in Nordea's case; discontent information is in the current situation anonymous, it may be too small in scope for it to be profitable integrated or delivered in pre-packaged aggregate form. In this thesis, it became also clear that overall understanding should be based on a results-oriented attitude in which the results of the analysis provide employees with new insights to shape the monitoring process. Even at the central level, Nordea more often tends to follow up individual cases instead of analyzing them systematically in aggregate form, which the model does not take into account.

  • 289.
    Ahmed Ibrahim, Amina
    et al.
    Mälardalen University, School of Sustainable Development of Society and Technology.
    Basudde Nakajugo, Carol
    Mälardalen University, School of Sustainable Development of Society and Technology.
    Communities – en marknadsföringskanal med effekt?2008Independent thesis Basic level (degree of Bachelor), 10 points / 15 hpStudent thesis
    Abstract [en]

     

    Date:             2008-11-13

     

    Level:           Bachelor Thesis in Business Administration, 15 ECTS

     

    Authors:      Amina Ahmed Ibrahim               Carol Nakajugo Basudde

     

    Tutor:           Mats Viimne

     

    Title:             Communities – A marketing channel with effect?

     

    Purpose:       To describe communities as a marketing channel and its communication effect. 

     

    Method:       Primary data was collected through face-to-face, telephone and e-mail interviews. These interviews were used to gather information on the case studies used in this thesis. Four Swedish online communities namely Lunarstorm, Glife, Nightlife and Nattstad were used. Secondary data used in this thesis has consisted of books, articles and online sources.

     

    Conclusion:  Companies using communities as marketing channels have the added advantage of a higher segmentation which means that they can easier find and reach their target audience. One of the problems associated with this medium is that today many companies still suffer from a lack of knowledge when it comes to communities due to the fact that this medium has not been paid the attention that it needs. Companies prefer to rely more on the traditional marketing channels like TV, newspapers and radio. With this new found interest in communities and the attention being paid to them in the media, more and more companies are opening their eyes to these new marketing channels and are choosing to learn more about them.

     

  • 290.
    Ahmed Ibrahim, Amina
    et al.
    Mälardalen University, School of Sustainable Development of Society and Technology.
    Yola Konlaan, Beatrice
    Mälardalen University, School of Sustainable Development of Society and Technology.
    Nakajugo Basudde, Carol
    Mälardalen University, School of Sustainable Development of Society and Technology.
    Are competitors ready to take on a deregulated Apoteket AB?2008Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
    Abstract [en]

    Date: 2008-06-05

    Level: Master Thesis in Business Administration, 15 ECTS

    Authors: Amina Ahmed Ibrahim Beatrice Yola Konlaan Carol Nakajugo Basudde

    Tutor: Sigvard Herber

    Title: Are competitors ready to take on a deregulated Apoteket AB? Problem: With the oncoming deregulation of the monopoly, Apoteket AB appears to have a competitive advantage over incoming competition therefore the problem is to find out:

     What competitive advantage Apoteket AB has over its competitors.

     If the competitors have the tools to successfully compete with Apoteket AB.

    Purpose: The purpose of this thesis is to find out whether competitors in Sweden are able to compete successfully with Apoteket AB for the market of non prescription medicine.

    Method: Qualitative and quantitative methods have been used in this thesis. In order to achieve the desired result of this research it is appropriate to choose this approach since it enables the researcher to be able to explore all areas of the subject at hand and also give an in-depth discussion and analysis.

    Conclusion: Apoteket AB has several competitive advantages over its competitors. It has a strong brand name that is known and trusted by customers. While all three competing companies see themselves as complements to Apoteket AB, we think that the competitors have what it takes to successfully compete with Apoteket. Judging from previous cases such as Norway and Denmark which showed different outcomes of deregulation in the retail pharmaceutical industry, the competitors in both cases have not been on the losing side. Supermarkets, petrol stations and grocery stores in Denmark and Norway were also competing with their respective pharmacies based mainly on price, accessibility and convenience. In conclusion this is an indication that the competitors in Sweden have more than enough tools to successfully compete with Apoteket AB.

    Keywords: Deregulation, Pharmaceutical retail, Apoteket AB, Monopoly, Competition.

  • 291.
    Ahmed, Ismail
    et al.
    Mälardalen University, School of Business, Society and Engineering.
    Peksen, Ismail
    Mälardalen University, School of Business, Society and Engineering.
    Projektledarens färdväg mot kompetensutveckling: En analys av projektledarkompetens och planeringsverktyg hos JM AB2015Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
    Abstract [en]

    A project manager's responsibility in a project is to lead the project to specified goals with defined specifications. These goals must be achieved within a time related and economic framework. To achieve these goals, a project manager needs to early plan and implement a financial plan for the project. If the project manager lacks sufficient competence it may result in financial losses and failed project.  The present thesis was accomplished in collaboration with the construction company, JM AB, and the study consists of three parts. An extensive literature review has been conducted in which the theoretical perspective around the project have been analyzed. Interviews with project managers and site visits were conducted in order to achieve a deeper understanding of how JM works with timetables and existing competency development plans. The study shows that the project manager at JM AB is primarily involved in the early stages and the final stage of the project planning. Furthermore, this thesis showed that the project manager's skills development first of all takes place in daily work. In addition, the results showed that experience from previous work constitutes the most important skills development for the project managers and that activities such as formal courses also a contribute to stronger competence for the project manager.

  • 292.
    Ahmed, Mobyen Uddin
    Mälardalen University, School of Innovation, Design and Engineering.
    A case-based multi-modal clinical system for stress management2010Licentiate thesis, monograph (Other academic)
    Abstract [en]

    A difficult issue in stress management is to use biomedical sensor signal in the diagnosis and treatment of stress. Clinicians often make their diagnosis and decision based on manual inspection of physiological signals such as, ECG, heart rate, finger temperature etc. However, the complexity associated with manual analysis and interpretation of the signals makes it difficult even for experienced clinicians. Today the diagnosis and decision is largely dependent on how experienced the clinician is interpreting the measurements.  A computer-aided decision support system for diagnosis and treatment of stress would enable a more objective and consistent diagnosis and decisions.

    A challenge in the field of medicine is the accuracy of the system, it is essential that the clinician is able to judge the accuracy of the suggested solutions. Case-based reasoning systems for medical applications are increasingly multi-purpose and multi-modal, using a variety of different methods and techniques to meet the challenges of the medical domain. This research work covers the development of an intelligent clinical decision support system for diagnosis, classification and treatment in stress management. The system uses a finger temperature sensor and the variation in the finger temperature is one of the key features in the system. Several artificial intelligence techniques have been investigated to enable a more reliable and efficient diagnosis and treatment of stress such as case-based reasoning, textual information retrieval, rule-based reasoning, and fuzzy logic. Functionalities and the performance of the system have been validated by implementing a research prototype based on close collaboration with an expert in stress. The case base of the implemented system has been initiated with 53 reference cases classified by an experienced clinician. A case study also shows that the system provides results close to a human expert. The experimental results suggest that such a system is valuable both for less experienced clinicians and for experts where the system may function as a second option.

  • 293.
    Ahmed, Mobyen Uddin
    Mälardalen University, School of Innovation, Design and Engineering.
    A Multimodal Approach for Clinical Diagnosis and Treatment2011Doctoral thesis, comprehensive summary (Other academic)
    Abstract [en]

    A computer-aided Clinical Decision Support System (CDSS) for diagnosis and treatment often plays a vital role and brings essential benefits for clinicians. Such a CDSS could function as an expert for a less experienced clinician or as a second option/opinion of an experienced clinician to their decision making task. Nevertheless, it has been a real challenge to design and develop such a functional system where accuracy of the system performance is an important issue.

    This research work focuses on development of intelligent CDSS based on a multimodal approach for diagnosis, classification and treatment in medical domains i.e. stress and post-operative pain management domains. Several Artificial Intelligence (AI) techniques such as Case-Based Reasoning (CBR), textual Information Retrieval (IR), Rule-Based Reasoning (RBR), Fuzzy Logic and clustering approaches have been investigated in this thesis work.

    Patient’s data i.e. their stress and pain related information are collected from complex data sources for instance, finger temperature measurements through sensor signals, pain measurements using a Numerical Visual Analogue Scale (NVAS), patient’s information from text and multiple choice questionnaires. The proposed approach considers multimedia data management to be able to use them in CDSSs for both the domains.

    The functionalities and performance of the systems have been evaluated based on close collaboration with experts and clinicians of the domains. In stress management, 68 measurements from 46 subjects and 1572 patients’ cases out of ≈4000 in post-operative pain have been used to design, develop and validate the systems. In the stress management domain, besides the 68 measurement cases, three trainees and one senior clinician also have been involved in order to conduct the experimental work. The result from the evaluation shows that the system reaches a level of performance close to the expert and better than the senior and trainee clinicians. Thus, the proposed CDSS could be used as an expert for a less experienced clinician (i.e. trainee) or as a second option/opinion for an experienced clinician (i.e. senior) to their decision making process in stress management. In post-operative pain treatment, the CDSS retrieves and presents most similar cases (e.g. both rare and regular) with their outcomes to assist physicians. Moreover, an automatic approach is presented in order to identify rare cases and 18% of cases from the whole cases library i.e. 276 out of 1572 are identified as rare cases by the approach. Again, among the rare cases (i.e. 276), around 57.25% of the cases are classified as ‘unusually bad’ i.e. the average pain outcome value is greater or equal to 5 on the NVAS scale 0 to 10. Identification of rear cases is an important part of the PAIN OUT project and can be used to improve the quality of individual pain treatment.

  • 294.
    Ahmed, Mobyen Uddin
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    A Personalized Health-Monitoring System for Elderly by Combining Rules and Case-based Reasoning2015In: Studies in Health Technology and Informatics, Volume 21: Proceedings of the 12th International Conference on Wearable Micro and Nano Technologies for Personalized Health, 2–4 June 2015, Västerås, Sweden, 2015, p. 249-254Conference paper (Refereed)
    Abstract [en]

    Health-monitoring system for elderly in home environment is a promising solution to provide efficient medical services that increasingly interest by the researchers within this area. It is often more challenging when the system is self-served and functioning as personalized provision. This paper proposed a personalized self-served health-monitoring system for elderly in home environment by combining general rules with a case-based reasoning approach. Here, the system generates feedback, recommendation and alarm in a personalized manner based on elderly’s medical information and health parameters such as blood pressure, blood glucose, weight, activity, pulse, etc. A set of general rules has used to classify individual health parameters. The case-based reasoning approach is used to combine all different health parameters, which generates an overall classification of health condition. According to the evaluation result considering 323 cases and k=2 i.e., top 2 most similar retrieved cases, the sensitivity, specificity and overall accuracy are achieved as 90%, 97% and 96% respectively. The preliminary result of the system is acceptable since the feedback; recommendation and alarm messages are personalized and differ from the general messages. Thus, this approach could be possibly adapted for other situations in personalized elderly monitoring.

  • 295.
    Ahmed, Mobyen Uddin
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    An Intelligent Healthcare Service to Monitor Vital Signs in Daily Life – A Case Study on Health-IoT2017In: International Journal of Engineering Research and Applications, ISSN 2248-9622, E-ISSN 2248-9622, Vol. 7, no 3, p. 43-55Article in journal (Refereed)
    Abstract [en]

    Vital signs monitoring for elderly in daily life environment is a promising concept that efficiently can provide medical services to people at home. However, make the system self-served and functioning as personalized provision makes the challenge even larger. This paper presents a case study on a Health-IoT system where an intelligent healthcare service is developed to monitor vital signs in daily life. Here, a generic Health-IoT framework with a Clinical Decision Support System (CDSS) is presented. The generic framework is mainly focused on the supporting sensors, communication media, secure and safe data communication, cloud-based storage, and remote accesses of the data. The CDSS is used to provide a personalized report on persons’ health condition based on daily basis observation on vital signs. Six participants, from Spain (n=3) and Slovenia (n=3) have been using the proposed healthcare system for eight weeks (e.g. 300+ health measurements) in their home environments to monitor their health. The sensitivity, specificity and overall accuracy of the DSS’s classification are achieved as 90%, 97% and 96% respectively while k=2 i.e., top 2 most similar retrieved cases are considered. The initial user evaluation result demonstrates the feasibility and performance of the implemented system through the proposed framework.

  • 296.
    Ahmed, Mobyen Uddin
    et al.
    Örebro University, Sweden.
    Banaee, Hadi
    Örebro University, Sweden.
    Loutfi, Amy
    Örebro University, Sweden.
    Health Monitoring for Elderly: An Application Using Case-Based Reasoning and Cluster Analysis2013In: ISRN Artificial Intelligence, ISSN 2090-7435, E-ISSN 2090-7443, ISRN Artificial Intelligence ISRNAI, ISSN 2356-7872, p. rticle ID 380239-Article in journal (Refereed)
    Abstract [en]

    This paper presents a framework to process and analyze data from a pulse oximeter which remotely measures pulse rate and blood oxygen saturation from a set of individuals. Using case-based reasoning (CBR) as the backbone to the framework, records are analyzed and categorized according to their similarity. Record collection has been performed using a personalized health profiling approach in which participants wore a pulse oximeter sensor for a fixed period of time and performed specific activities for pre-determined intervals. Using a variety of feature extraction methods in time, frequency, and time-frequency domains, as well as data processing techniques, the data is fed into a CBR system which retrieves most similar cases and generates an alarm according to the case outcomes. The system has been compared with an expert's classification, and a 90% match is achieved between the expert's and CBR classification. Again, considering the clustered measurements, the CBR approach classifies 93% correctly both for the pulse rate and oxygen saturation. Along with the proposed methodology, this paper provides a basis for which the system can be used in the analysis of continuous health monitoring and can be used as a suitable method in home/remote monitoring systems.

  • 297.
    Ahmed, Mobyen Uddin
    et al.
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    Banaee, Hadi
    Loutfi, Amy
    Rafael-Palou, Xavier
    Intelligent Healthcare Services to Support Health Monitoring of Elderly2014In: International Conference on IoT Technologies for HealthCare HealthyIoT, Rome, Italy, 2014Conference paper (Refereed)
    Abstract [en]

    This paper proposed an approach of intelligent healthcare services to support health monitoring of old people through the project named SAAPHO. Here, definition and architecture of the proposed healthcare services are presented considering six different health parameters such as: 1) physical activity, 2) blood pressure, 3) glucose, 4) medication compliance, 5) pulse monitoring and 6) weight monitoring. The outcome of the proposed services is evaluated in a case study where total 201 subjects from Spain and Slovenia are involved for user requirements analysis considering 1) end users, 2) clinicians, and 3) field study analysis perspectives. The result shows the potentiality and competence of the proposed healthcare services for the users.

  • 298.
    Ahmed, Mobyen Uddin
    et al.
    Mälardalen University, School of Innovation, Design and Engineering.
    Begum, Shahina
    Mälardalen University, School of Innovation, Design and Engineering.
    Bibliometric Profiling of a Group: A Discussion on Different Indicators2011Report (Other academic)
    Abstract [en]

    Now-a-days in some advanced countries bibliometric profiling plays a vital role when making decision on promotion, fund allocation and award prizes. Accurate identification of this is important since it is becoming important to assess scientific output for a researcher or a group of researcher. This paper presents and discusses several most common indicators of bibliometric profiling together with h- and g-indexes. A case study has been conducted on 101 scientific articles with three most well known search engines. The study results using several indicators are presented in this report.

  • 299.
    Ahmed, Mobyen Uddin
    et al.
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    Begum, Shahina
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. IS (Embedded Systems).
    Big Data Analytics in Health Monitoring at Home2017In: Medicinteknikdagarna 2017 MTD 2017, 2017Conference paper (Refereed)
    Abstract [en]

    This paper proposed a big data analytics approach applied in the projects ESS-H and E-care@home in the context of biomedical and health informatics with the advancement of information fusion, data abstraction, data mining, knowledge discovery, learning, and reasoning [1][2]. Data are collected through the projects, considering both the health parameters, e.g. temperature, bio-impedance, skin conductance, heart sound, blood pressure, pulse, respiration, weight, BMI, BFP, movement, activity, oxygen saturation, blood glucose, heart rate, medication compliance, ECG, EMG, and EEG, and the environmental parameters e.g. force/pressure, infrared (IR), light/luminosity, photoelectric, room-temperature, room-humidity, electrical usage, water usage, RFID localization and accelerometers. They are collected as semi-structured/unstructured, continuous/periodic, digital/paper record, single/multiple patients, once/several-times, etc. and stored in a central could server [5]. Thus, with the help of embedded system, digital technologies, wireless communication, Internet of Things (IoT) and smart sensors, massive quantities of data (so called ‘Big Data’) with value, volume, velocity, variety, veracity and variability are achieved [2]. The data analysis work in the following three steps. In Step1, pre-processing, future extraction and selection are performed based on a combination of statistical, machine learning and signal processing techniques. A novel strategy to fuse the data at feature level and as well as at data level considers a defined fusion mechanism [3]. In Step2, a combination of potential sequences in the learning and search procedure is investigated. Data mining and knowledge discovery, using the refined data from the above for rule extraction and knowledge mining, with support for anomaly detection, pattern recognition and regression are also explored here [4]. In Step3, adaptation of knowledge representation approaches is achieved by combining different artificial intelligence methods [3] [4]. To provide decision support a hybrid approach is applied utilizing different machine learning algorithms, e.g. case-based reasoning, and clustering [4]. The approach offers several data analytics tasks, e.g. information fusion, anomaly detection, rules and knowledge extraction, clustering, pattern identification, correlation analysis, linear regression, logic regression, decision trees, etc. Thus, the approach assist in decision support, early detection of symptoms, context awareness and patient’s health status in a personal environment.

  • 300.
    Ahmed, Mobyen Uddin
    et al.
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    Begum, Shahina
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    Catalina, Carlos Alberto
    ITCL Polígono Industrial Villalonquéjar c/López Bravo, 70. 09001 BURGOS, Spain.
    Limonad, Lior
    Smart Wearable and IoT Solutions, IBM Research, Haifa, Israil.
    Hök, Bertil
    Hök Instrument AB, Sweden.
    Flumeri, Gianluca Di
    Cognitive States in Operative Environment, BrainSigns, Italy.
    Cloud-based Data Analytics on Human Factor Measurement to Improve Safer Transport2018In: Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Volume 225, 2018, p. 101-106Conference paper (Refereed)
    Abstract [en]

    Improving safer transport includes individual and collective behavioural aspects and their interaction. A system that can monitor and evaluate the human cognitive and physical capacities based on human factor measurement is often beneficial to improve safety in driving condition. However, analysis and evaluation of human factor measurement i.e. Demographics, Behavioural and Physiological in real-time is challenging. This paper presents a methodology for cloud-based data analysis, categorization and metrics correlation in real-time through a H2020 project called SimuSafe. Initial implementation of this methodology shows a step-by-step approach which can handle huge amount of data with variation and verity in the cloud.

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