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Landström, A., Almström, P., Winroth, M., Andersson, C., Öberg, A., Kurdve, M., . . . Zackrisson, M. (2018). A life cycle approach to business performance measurement systems. In: Procedia Manufacturing: . Paper presented at 8th Swedish Production Symposium, SPS 2018, 16 May 2018 through 18 May 2018 (pp. 126-133). Elsevier B.V.
Open this publication in new window or tab >>A life cycle approach to business performance measurement systems
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2018 (English)In: Procedia Manufacturing, Elsevier B.V. , 2018, p. 126-133Conference paper, Published paper (Refereed)
Abstract [en]

Virtually every company has implemented a Business Performance Measurement System (BPMS) with the purpose of monitoring production and business performance and to execute the corporate strategy at all levels in a company. The purpose of this article is to shed light on common pitfalls related to the practical use of BPMS and further to present a life cycle model with the purpose of introducing structured approach to avoiding the pitfalls. The article contributes to further development of the BPMS life cycle concept and practical examples of how it can be used.

Place, publisher, year, edition, pages
Elsevier B.V., 2018
Keywords
Business performance measurement systems, KPI-life cycle, Performance indicators
National Category
Mechanical Engineering
Identifiers
urn:nbn:se:mdh:diva-43505 (URN)10.1016/j.promfg.2018.06.066 (DOI)2-s2.0-85065674702 (Scopus ID)
Conference
8th Swedish Production Symposium, SPS 2018, 16 May 2018 through 18 May 2018
Available from: 2019-05-28 Created: 2019-05-28 Last updated: 2019-05-28Bibliographically approved
Norouzilame, F. & Wiktorsson, M. (2018). Coordination practices within international manufacturing networks: A comparative study of three industrial practices. American Journal of Industrial and Business Management, 8(6), 1603-1623
Open this publication in new window or tab >>Coordination practices within international manufacturing networks: A comparative study of three industrial practices
2018 (English)In: American Journal of Industrial and Business Management, ISSN 2164-5167, E-ISSN 2164-5175, Vol. 8, no 6, p. 1603-1623Article in journal (Refereed) Published
Abstract [en]

The globalisation of manufacturing activities has led to the emergence of internationally dispersed manufacturing plants. Coordination of such networks is a complex task and entails several management challenges. The purpose of this paper is to increase the understanding regarding the coordination issues and how they could be managed in IMN environment. Using a multiple case study approach, data from three multi–plant manufacturing businesses were collected and analysed. The results include discussions on coordination aspects such as autonomy and mechanisms to conduct coordination. Furthermore, a model for assigning autonomy level to the plant in an IMN is suggested as well as mechanisms to conduct the coordination work.

Keywords
international manufacturing network, coordination, case study
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:mdh:diva-40873 (URN)10.4236/ajibm.2018.86098 (DOI)2164-5175 (ISBN)
Projects
INNOFACTURE - innovative manufacturing development
Available from: 2018-09-11 Created: 2018-09-11 Last updated: 2018-10-29Bibliographically approved
Nafisi, M., Wiktorsson, M., Rösiö, C. & Granlund, A. (2018). Manufacturing Engineering Requirements in the Early Stages of New Product Development: A Case Study in Two Assembly Plants. In: Advanced Applications in Manufacturing Engineering: . Elsevier
Open this publication in new window or tab >>Manufacturing Engineering Requirements in the Early Stages of New Product Development: A Case Study in Two Assembly Plants
2018 (English)In: Advanced Applications in Manufacturing Engineering, Elsevier, 2018Chapter in book (Refereed)
Place, publisher, year, edition, pages
Elsevier, 2018
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:mdh:diva-39089 (URN)
Available from: 2018-05-08 Created: 2018-05-08 Last updated: 2019-08-15Bibliographically approved
Shahbazi, S., Jönsson, C., Wiktorsson, M., Kurdve, M. & Bjelkemyr, M. (2018). Material efficiency measurement: Swedish case studies. Journal of Cleaner Production, 181, 17-32
Open this publication in new window or tab >>Material efficiency measurement: Swedish case studies
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2018 (English)In: Journal of Cleaner Production, ISSN 0959-6526, E-ISSN 1879-1786, Vol. 181, p. 17-32Article in journal (Refereed) Published
Abstract [en]

A major factor in the continued deterioration of the global environment is unsustainable management of resources that includes the type and quantity of resources consumed and manufactured as well as the subsequent generation and treatment of wasted materials. Improved material efficiency (ME) in manufacturing is key to reducing resource consumption levels and improving waste management initiatives. However, ME must be measured, and related goals must be broken down into performance indicators for manufacturing companies. This paper aims to improve ME in manufacturing using a structured model for ME performance measurements. We present a set of ME key performance indicators (ME-KPIs) at the individual company and lower operational levels based on empirical studies and a structured literature review. Our empirical findings are based on data collected on the performance indicators and material and waste flows of nine manufacturing companies located in Sweden. The proposed model categorizes ME-KPIs into the following categories: productive input materials, auxiliary input materials, output products, and residual output materials. These categories must be measured equally to facilitate the measurement, assessment, improvement and reporting of material consumption and waste generation in a manufacturing context. Required qualities for ME-KPI suggested in literature are also discussed, and missing indicators are identified. Most of the identified ME-KPIs measure quality- and cost-related factors, while end-of-life scenarios, waste segregation and the environmental effects of waste generation and material consumption are not equally measured. Additionally, ME-KPIs must also be connected to pre-determined goals and that defining or revising ME-KPIs requires communication with various external and internal actors to increase employees’ awareness and engagement.

Place, publisher, year, edition, pages
Elsevier, 2018
National Category
Environmental Management
Identifiers
urn:nbn:se:mdh:diva-38518 (URN)10.1016/j.jclepro.2018.01.215 (DOI)000428483100003 ()2-s2.0-85042354105 (Scopus ID)
Available from: 2018-02-02 Created: 2018-02-02 Last updated: 2018-04-18Bibliographically approved
Flores-García, E., Wiktorsson, M., Bruch, J. & Jackson, M. (2018). Revisiting challenges in using Discrete Event Simulation in early stages of Production System Design. In: International conference of advances in production management systems APMS: . Paper presented at International conference of advances in production management systems APMS, 27 Aug 2018, Seoul, South Korea (pp. 534-540). Springer, 535
Open this publication in new window or tab >>Revisiting challenges in using Discrete Event Simulation in early stages of Production System Design
2018 (English)In: International conference of advances in production management systems APMS, Springer, 2018, Vol. 535, p. 534-540Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents challenges of using discrete event simulation when supporting decision in early stages of production system design, when significant changes are introduced. It was based on three real-time case studies performed at one manufacturing company during 2014-2016. Challenges in the cases were mapped to previous literature, pointing out discrepancies and highlighting three additional challenges, specifically related to issues in the early stages of the pro-duction system design process. The significant change introduced to the assembly system, and the early phases of evaluation put significant challenges to the use of discrete event simulation and the study points out further efforts needed to support manufacturing companies under change, with an established industrial structure and legacy systems to consider.

Place, publisher, year, edition, pages
Springer, 2018
Keywords
production system design, discrete event simulation, case study.
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:mdh:diva-40903 (URN)10.1007/978-3-319-99704-9_65 (DOI)2-s2.0-85053277124 (Scopus ID)978-3-319-99703-2 (ISBN)978-3-319-99704-9 (ISBN)
Conference
International conference of advances in production management systems APMS, 27 Aug 2018, Seoul, South Korea
Available from: 2018-09-12 Created: 2018-09-12 Last updated: 2018-09-27Bibliographically approved
Wiktorsson, M., Granlund, A., Lundin, M. & Södergren, B. (2017). Automation and flexibility: An apparent or real dilemma?. In: International Series in Operations Research and Management Science, vol. 255: (pp. 35-48). Springer New York LLC
Open this publication in new window or tab >>Automation and flexibility: An apparent or real dilemma?
2017 (English)In: International Series in Operations Research and Management Science, vol. 255, Springer New York LLC , 2017, p. 35-48Chapter in book (Refereed)
Abstract [en]

There are trade-offs between cost and capabilities throughout specification, implementation and operation of automated solutions in manufacturing companies. This chapter describes four identified dilemmas or contradictions while balancing flexibility to automation, based on an empirical study with interviews and workshop in five internationally competitive manufacturing companies. The study generated insights on experienced challenges while implementing automated solutions in manufacturing, and these apparent conflicts between automated solutions and maintaining a high operational flexibility need to be managed as manufacturing automation will continue to increase on all levels. 

Place, publisher, year, edition, pages
Springer New York LLC, 2017
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:mdh:diva-36204 (URN)10.1007/978-3-319-55985-8_3 (DOI)2-s2.0-85024495982 (Scopus ID)978-3-319-55984-1 (ISBN)
Projects
XPRES - Excellence in Production ResearchFlaggskeppsfabriken
Available from: 2017-08-10 Created: 2017-08-10 Last updated: 2018-03-02Bibliographically approved
Nafisi, M. & Wiktorsson, M. (2017). Ensuring manufacturability in early stages of new product development: a study of two practices. In: 24th EurOMA conference EurOMA17: . Paper presented at 24th EurOMA conference EurOMA17, 01 Jul 2017, Edinburgh, United Kingdom.
Open this publication in new window or tab >>Ensuring manufacturability in early stages of new product development: a study of two practices
2017 (English)In: 24th EurOMA conference EurOMA17, 2017Conference paper, Published paper (Refereed)
Abstract [en]

This paper elaborates upon how early manufacturing involvement in new product development (NPD) can be realised to safeguard that manufacturing system requirements are communicated to product development teams. Two industrial practices have been studied in companies within the automotive sector. The forms of manufacturing involvement are presented for the two NPD cases during early phases of concept and product development (when the design has a considerable impact on production). Forms of involvement are separated according to the areas of process, organisation and mechanisms. The results can provide insight to manufacturing about how to proactively participate in NPD activities.

Keywords
New product development, cross-functionality, assembly
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:mdh:diva-37431 (URN)
Conference
24th EurOMA conference EurOMA17, 01 Jul 2017, Edinburgh, United Kingdom
Projects
XPRES - Excellence in Production ResearchINNOFACTURE - innovative manufacturing development
Available from: 2017-12-20 Created: 2017-12-20 Last updated: 2018-05-08Bibliographically approved
Shahbazi, S., Salloum, M., Kurdve, M. & Wiktorsson, M. (2017). Material Efficiency Measurement: Empirical Investigation of Manufacturing Industry. Procedia Manufacturing, 8, 112-120
Open this publication in new window or tab >>Material Efficiency Measurement: Empirical Investigation of Manufacturing Industry
2017 (English)In: Procedia Manufacturing, ISSN 2351-9789, Vol. 8, p. 112-120Article in journal (Refereed) Published
Abstract [en]

Improving material efficiency contributes to reduce the volume of industrial waste as well as resource consumption. However, less has been published addressing on what to measure for material efficiency in a manufacturing company. This paper presents the current practice of material efficiency performance indicators in a manufacturing context through a bottom-up approach. In addition to literature review, the empirical data was collected via a multiple case study at seven global manufacturing companies located in Sweden. The results show that existing material efficiency indicators are limited and are mainly measured as a cost or quality parameter rather than environment. The limited number of measurements relates to the fact that material efficiency is not considered as a central business in manufacturing companies and is managed by environmental department with limited correlation to operation. Additionally, these measurements do not aim to reduce waste volume or improve homogeneity of generated waste.

Place, publisher, year, edition, pages
Elsevier B.V., 2017
Keywords
manufacturing, Material efficiency, performance indicator
National Category
Materials Engineering
Identifiers
urn:nbn:se:mdh:diva-35132 (URN)10.1016/j.promfg.2017.02.014 (DOI)000400857500014 ()2-s2.0-85015670734 (Scopus ID)
Projects
CiMMRecXPRES
Funder
Mistra - The Swedish Foundation for Strategic Environmental ResearchXPRES - Initiative for excellence in production research
Available from: 2017-04-06 Created: 2017-04-06 Last updated: 2018-07-25Bibliographically approved
Ore, F., Hansson, L. & Wiktorsson, M. (2017). Method for Design of Human-industrial Robot Collaboration Workstations. Paper presented at 27th International Conference on Flexible Automation and Intelligent Manufacturing FAIM2017, 27 Jun 2017, Modena, Italy. Procedia Manufacturing, 11, 4-12
Open this publication in new window or tab >>Method for Design of Human-industrial Robot Collaboration Workstations
2017 (English)In: Procedia Manufacturing, ISSN 2351-9789, Vol. 11, p. 4-12Article in journal (Refereed) Published
Abstract [en]

In order to fully utilise a 3D simulation software capable of evaluating hand-guided human-industrial robot collaborative (HIRC) work tasks, there is a need of a HIRC design process for early production development stages. This paper proposes a HIRC design method that uses the possibilities of the demonstrator software in the HIRC workstation design process. The method is based on Pahl and Beitz's engineering design method; it interprets all their phases and activities into HIRC design-specific ones.

Place, publisher, year, edition, pages
Elsevier B.V., 2017
National Category
Design Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:mdh:diva-36679 (URN)10.1016/j.promfg.2017.07.112 (DOI)000419072100001 ()2-s2.0-85029863172 (Scopus ID)
Conference
27th International Conference on Flexible Automation and Intelligent Manufacturing FAIM2017, 27 Jun 2017, Modena, Italy
Projects
XPRES - Excellence in Production ResearchINNOFACTURE - innovative manufacturing development
Available from: 2017-10-06 Created: 2017-10-06 Last updated: 2018-03-08Bibliographically approved
Zackrisson, M., Kurdve, M., Shahbazi, S., Wiktorsson, M., Winroth, M., Landström, A., . . . Myrelid, A. (2017). Sustainability Performance Indicators at Shop Floor Level in Large Manufacturing Companies. In: Procedia CIRP: . Paper presented at 24th CIRP Conference on Life Cycle Engineering, CIRP LCE 2017, 8 March 2017 through 10 March 2017 (pp. 457-462). Elsevier B.V.
Open this publication in new window or tab >>Sustainability Performance Indicators at Shop Floor Level in Large Manufacturing Companies
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2017 (English)In: Procedia CIRP, Elsevier B.V. , 2017, p. 457-462Conference paper, Published paper (Refereed)
Abstract [en]

This article investigates sustainability in the performance measurement systems of Swedish manufacturing companies. It builds on a previous study that documents relatively few direct environmental indicators at shop floor level, which raises questions about possible indirect links between existing indicators and the environment that could be used to improve the environmental aspect of company's sustainability ambitions. A method for identifying and categorizing indirect links to sustainability issues was defined and used. The results suggest that at shop floor level 90% of the indicators have at least an indirect relation to one or more of the sustainability dimensions economy, environment and social, of which 26% are at least indirectly related to the environmental dimension. Despite the many indirect connections, participating companies perceive a need to improve sustainability indicators and some ideas are suggested. 

Place, publisher, year, edition, pages
Elsevier B.V., 2017
Keywords
Environmental management, Performance Measurement System, Sustainability, Sustainability Performance Indicator, Benchmarking, Floors, Life cycle, Manufacture, Supply chain management, Waste disposal, Environmental aspects, Environmental indicators, Manufacturing companies, Sustainability dimensions, Sustainability indicators, Sustainability issues, Sustainability performance, Sustainable development
National Category
Other Engineering and Technologies
Identifiers
urn:nbn:se:mdh:diva-35798 (URN)10.1016/j.procir.2016.11.199 (DOI)000404511900079 ()2-s2.0-85020043898 (Scopus ID)
Conference
24th CIRP Conference on Life Cycle Engineering, CIRP LCE 2017, 8 March 2017 through 10 March 2017
Projects
Sure BPMSXPRES
Funder
XPRES - Initiative for excellence in production research
Available from: 2017-06-15 Created: 2017-06-15 Last updated: 2018-01-30
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0001-7935-8811

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