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Publications (10 of 85) Show all publications
Badasjane, V., Granlund, A., Ahlskog, M., Bruch, J. & Sauter, B. (2023). Adapting the organisational structure for coordinating the digital transformation. In: 30th EurOMA conference, EurOMA23: . Paper presented at 30th EurOMA Conference, July 3-5, Leuven, Belgium..
Open this publication in new window or tab >>Adapting the organisational structure for coordinating the digital transformation
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2023 (English)In: 30th EurOMA conference, EurOMA23, 2023Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

Factories within International Manufacturing Networks (IMNs) need coordination to harness globalization’s potential. Simultaneously, adding additional complexity, they seek to coordinate digital transformation across the IMNs, requiring a holistic view encompassing the organizational structure. The purpose of this paper is to identify how manufacturing companies adapt the organizational structures of their IMNs to coordinate digital transformation. Through a multiple case study of four manufacturing companies, the results show new or adapted functional units, roles and interfaces. The findings describe and exemplify global and local functional units, boundary spanner roles, and formal and informal interfaces created for coordinating digital transformation in IMNs.

Keywords
Digitalization, Smart production, Global Manufacturing
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:mdh:diva-63579 (URN)
Conference
30th EurOMA Conference, July 3-5, Leuven, Belgium.
Available from: 2023-06-26 Created: 2023-06-26 Last updated: 2023-06-29Bibliographically approved
Ahlskog, M., Granlund, A., Badasjane, V., Bruch, J. & Sauter, B. (2023). Approaching digital transformation in the manufacturing industry challenges and differing views. International Journal of Manufacturing Research (4), 415-433
Open this publication in new window or tab >>Approaching digital transformation in the manufacturing industry challenges and differing views
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2023 (English)In: International Journal of Manufacturing Research, ISSN 1750-0591, no 4, p. 415-433Article in journal (Refereed) Published
Abstract [en]

In order to support manufacturing companies in their digital transformation, challenges and views of the term 'digital transformation' need to be identified since digital transformation is considered a source of competitive advantages. Therefore, this paper aims to explore the challenges and differing views of digital transformation in the manufacturing industry. A case study was conducted in collaboration with four Swedish manufacturing companies. The results were then mapped into categories of three dimensions (people, process and technology), indicating that digital transformation can have different meanings within a company. We conclude that the term 'digitalisation' is more frequently used in the manufacturing industry than 'digital transformation' and identified challenges relate to lack of best practice for digital transformation, degree of standardisation and therefore affects the workload and limits the possibilities of transferring technical solutions between factories. Our findings are relevant to operations managers and other interested in digital transformation. 

National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:mdh:diva-65122 (URN)10.1504/IJMR.2024.10057606 (DOI)001128775300002 ()2-s2.0-85180547285 (Scopus ID)
Available from: 2023-12-19 Created: 2023-12-19 Last updated: 2024-01-31Bibliographically approved
Elvin, M., Bruch, J. & Aslanidou, I. (2023). Circular Production Equipment – Futuristic Thought or the Necessity of Tomorrow?. In: Alfnes, E., Romsdal, A.; Strandhagen, J.O.; von Cieminski, G.; Romero, D. (Ed.), Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures.: Proceedings, Part IV. Paper presented at IFIP WG 5.7 International Conference, APMS 2023, Trondheim, Norway, 17-21 September, 2023 (pp. 159-173).
Open this publication in new window or tab >>Circular Production Equipment – Futuristic Thought or the Necessity of Tomorrow?
2023 (English)In: Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures.: Proceedings, Part IV / [ed] Alfnes, E., Romsdal, A.; Strandhagen, J.O.; von Cieminski, G.; Romero, D., 2023, p. 159-173Conference paper, Published paper (Other academic)
Abstract [en]

With a growing population and increased use of resources, there is an urgent need to transform towards sustainable production in order to stay competitive. Prior studies suggest that circular thinking positively impacts the environmental impact of products. However, few studies have investigated the implications of applying circular thinking to the design of production equipment. We address this research gap by looking at what circularity is and how it can be perceived in the context of production equipment. Our research reveals that different circularity requirements need to be implemented in different phases of the life cycle of the production equipment. However, to succeed the requirements need to be considered already early in the design phase of the production equipment. Further, since the development of production equipment is a co-creation between the equipment with the manufacturing company, i.e. users of the production equipment. The circularity thinking between the two partners needs to be aligned and coordinated. Our findings emphasise the need for a holistic approach with system thinking implemented early in the life cycle of production equipment. 

Series
IFIP Advances in Information and Communication Technology ; 692
Keywords
green design, production development, manufacturing technology, sustainability
National Category
Other Engineering and Technologies
Identifiers
urn:nbn:se:mdh:diva-64454 (URN)10.1007/978-3-031-43688-8_12 (DOI)2-s2.0-85174448247 (Scopus ID)978-3-031-43687-1 (ISBN)978-3-031-43688-8 (ISBN)
Conference
IFIP WG 5.7 International Conference, APMS 2023, Trondheim, Norway, 17-21 September, 2023
Available from: 2023-10-04 Created: 2023-10-04 Last updated: 2023-10-30Bibliographically approved
Agerskans, N., Ashjaei, S. M., Bruch, J. & Chirumalla, K. (2023). Critical Factors for Selecting and Integrating Digital Technologies to Enable Smart Production: A Data Value Chain Perspective. In: IFIP Advances in Information and Communication Technology: . Paper presented at IFIP Advances in Information and Communication Technology (pp. 311-325). Springer Science and Business Media Deutschland GmbH
Open this publication in new window or tab >>Critical Factors for Selecting and Integrating Digital Technologies to Enable Smart Production: A Data Value Chain Perspective
2023 (English)In: IFIP Advances in Information and Communication Technology, Springer Science and Business Media Deutschland GmbH , 2023, p. 311-325Conference paper, Published paper (Refereed)
Abstract [en]

With the development towards Industry 5.0, manufacturing companies are developing towards Smart Production, i.e., using data as a resource to interconnect the elements in the production system to learn and adapt accordingly for a more resource-efficient and sustainable production. This requires selecting and integrating digital technologies for the entire data lifecycle, also referred to as the data value chain. However, manufacturing companies are facing many challenges related to building data value chains to achieve the desired benefits of Smart Production. Therefore, the purpose of this paper is to identify and analyze the critical factors of selecting and integrating digital technologies for efficiently benefiting data value chains for Smart Production. This paper employed a qualitative-based multiple case study design involving manufacturing companies within different industries and of different sizes. The paper also analyses two Smart Production cases in detail by mapping the data flow using a technology selection and integration framework to propose solutions to the existing challenges. By analyzing the two in-depth studies and additionally two reference cases, 13 themes of critical factors for selecting and integrating digital technologies were identified.

Place, publisher, year, edition, pages
Springer Science and Business Media Deutschland GmbH, 2023
Keywords
Digital Transformation, Industry 5.0, Production Development, Smart Manufacturing, Technology Integration, Technology Selection, Data integration, Engineering education, Critical factors, Data values, Digital technologies, Value chains, Life cycle
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:mdh:diva-64438 (URN)10.1007/978-3-031-43662-8_23 (DOI)2-s2.0-85172421353 (Scopus ID)9783031436611 (ISBN)
Conference
IFIP Advances in Information and Communication Technology
Available from: 2023-10-09 Created: 2023-10-09 Last updated: 2023-11-16Bibliographically approved
Leberruyer, N., Bruch, J., Ahlskog, M. & Afshar, S. Z. (2023). Enabling an AI-Based Defect Detection Approach to Facilitate Zero Defect Manufacturing. In: Alfnes, E., Romsdal, A., Strandhagen, J.O., von Cieminski, G., Romero, D (Ed.), Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures: . Paper presented at IFIP International Conference on Advances in Production Management Systems, APMS 2023 (pp. 643-649).
Open this publication in new window or tab >>Enabling an AI-Based Defect Detection Approach to Facilitate Zero Defect Manufacturing
2023 (English)In: Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures / [ed] Alfnes, E., Romsdal, A., Strandhagen, J.O., von Cieminski, G., Romero, D, 2023, p. 643-649Conference paper, Published paper (Refereed)
Abstract [en]

Artificial Intelligence (AI) has proven effective in assisting manufacturing companies to achieve Zero Defect Manufacturing. However, certain products may have quality characteristics that are challenging to verify in a manufacturing facility. This could be due to several factors, including the product’s complexity, a lack of available data or information, or the need for specialized testing or analysis. Prior research on using AI for challenging quality detection is limited. Therefore, the purpose of this article is to identify the enablers that contributed to the development of an AI-based defect detection approach in an industrial setting. A case study was conducted at a transmission axle assembly factory where an end-of-line defect detection test was being developed with the help of vibration sensors. This study demonstrates that it was possible to rapidly acquire domain expertise by experimenting, which contributed to the identification of important features to characterize defects. A regression model simulating the normal vibration behavior of transmission axles was created and could be used to detect anomalies by evaluating the deviation of new products compared to the model. The approach could be validated by creating an axle with a built-in defect. Five enablers were considered key to this development.

National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:mdh:diva-64470 (URN)10.1007/978-3-031-43666-6_43 (DOI)2-s2.0-85174445324 (Scopus ID)978-3-031-43665-9 (ISBN)978-3-031-43666-6 (ISBN)
Conference
IFIP International Conference on Advances in Production Management Systems, APMS 2023
Available from: 2023-10-06 Created: 2023-10-06 Last updated: 2024-02-16Bibliographically approved
Sigurjónsson, V., Bruch, J. & Granlund, A. (2023). Exploring Challenges in a Low-Volume Product Industrialization Process – A Railway Case Study. In: Alfnes, E., Romsdal, A., Strandhagen, J.O., von Cieminski, G., Romero, D (Ed.), Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures: . Paper presented at IFIP International Conference on Advances in Production Management Systems, APMS 2023 (pp. 184-198).
Open this publication in new window or tab >>Exploring Challenges in a Low-Volume Product Industrialization Process – A Railway Case Study
2023 (English)In: Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures / [ed] Alfnes, E., Romsdal, A., Strandhagen, J.O., von Cieminski, G., Romero, D, 2023, p. 184-198Conference paper, Published paper (Refereed)
Abstract [en]

The manufacturing industry is faced with a market environment that continuously grows more competitive. Achieving a short time to market is of vital importance to manufacturing companies that are characterized by low-volumes and high customization due to the already existing long lead times. An important process that transfers a product from design concept to production is the product industrialization process. This process plays a critical role as an interface between product development and production and any interruptions can have a significant effect on the overall time to market of a product. Research on the industrialization process and its challenges have mostly been conducted within a high-volume manufacturing, but what is currently lacking is exploring this process from the perspective of low-volume manufacturing. A case study was conducted within a low volume large equipment manufacturing company, analyzing their product industrialization process. The purpose of this article is to identify challenges within the process as well as to identify the effects these challenges have on the industrialization process. The findings from this case study identified 10 challenges within the low volume industrialization process that were grouped into four categories, relating to organizational, standardization, external, and technological factors.

National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:mdh:diva-64465 (URN)10.1007/978-3-031-43670-3_13 (DOI)2-s2.0-85174441643 (Scopus ID)978-3-031-43669-7 (ISBN)978-3-031-43670-3 (ISBN)
Conference
IFIP International Conference on Advances in Production Management Systems, APMS 2023
Available from: 2023-10-06 Created: 2023-10-06 Last updated: 2023-10-26Bibliographically approved
Gustafsson, C., Sannö, A., Bruch, J. & Chirumalla, K. (2023). Exploring the Integration of Additive Manufacturing: Lessons Learned and Success Factors of Use Cases. In: Klahn, C., Meboldt, M., Ferchow, J. (Ed.), Industrializing Additive Manufacturing. AMPA 2023: . Paper presented at International Conference on Additive Manufacturing in Products and Applications, AMPA 2023 (pp. 423-439).
Open this publication in new window or tab >>Exploring the Integration of Additive Manufacturing: Lessons Learned and Success Factors of Use Cases
2023 (English)In: Industrializing Additive Manufacturing. AMPA 2023 / [ed] Klahn, C., Meboldt, M., Ferchow, J., 2023, p. 423-439Conference paper, Published paper (Refereed)
Abstract [en]

The purpose of this paper is to present propositions for facilitating the integration of additive manufacturing (AM) for manufacturing companies in the heavy vehicle sectors based on identified success factors and lessons learned in use cases with different operational purposes. A case study was conducted that identified 42 retrospective use cases from three main sources highlighting seven different use case types with contributions from seven sectors representing 14 countries on four continents. Six success factors (technology infrastructure, relative advantage, organizational readiness, competitive pressure, expectations of market trends, and trading partner) and 20 lessons learned sorted into five dimensions (additive thinking, management aspects, practice makes perfect, AM acceptance, and AM experts) were identified in the use cases based on the analysis. Three propositions covering the three stages of integration were derived based on the identified success factors and lessons learned. These propositions should provide guidance on what managers need to be prepared for when integrating AM step-by-step. Integrating AM is no simple feat, and the propositions only scratch the surface since the complexity of AM runs deep both technically and managerially. Future research should investigate in-depth operational capabilities and, if applicable, dynamic capabilities to further enhance facilitating the integration of AM step-by-step.

Series
Springer Tracts in Additive Manufacturing, ISSN 2730-9576, E-ISSN 2730-9584
Keywords
Industrial 3D printing, Adoption, Implementation, Facilitation, Manufacturing industry, Production development
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:mdh:diva-60549 (URN)10.1007/978-3-031-42983-5_28 (DOI)000869718800044 ()978-3-031-42982-8 (ISBN)
Conference
International Conference on Additive Manufacturing in Products and Applications, AMPA 2023
Projects
XPRES
Available from: 2022-11-03 Created: 2022-11-03 Last updated: 2024-02-12Bibliographically approved
Gustafsson, C., Sannö, A., Bruch, J. & Chirumalla, K. (2023). Integration of Additive Manufacturing in an Industrial Setting: The Impact on Operational Capabilities. In: Alfnes, E., Romsdal, A., Strandhagen, J.O., von Cieminski, G., Romero, D (Ed.), Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures: . Paper presented at IFIP International Conference on Advances in Production Management Systems, APMS 2023 (pp. 590-604).
Open this publication in new window or tab >>Integration of Additive Manufacturing in an Industrial Setting: The Impact on Operational Capabilities
2023 (English)In: Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures / [ed] Alfnes, E., Romsdal, A., Strandhagen, J.O., von Cieminski, G., Romero, D, 2023, p. 590-604Conference paper, Published paper (Refereed)
Abstract [en]

The purpose of this paper is to explore changes in operational capabilities and their impact when integrating additive manufacturing into a traditional manufacturing company. This was exemplified based on a sub-system component (gears and shafts in a gearbox) for automotive applications that are developed and manufactured at a manufacturing company in the commercial vehicle sector. The research was set up based on a case study consisting of semi-structured interviews, informal meetings, observations, company documents, reports, presentations, and field notes. The literature and findings from empirical data converged into 57 themes of operational capabilities that were categorized into six aggregated dimensions. The results suggest two emerging dimensions, namely stakeholders and strategy, building upon an existing theoretical framework. Integrating AM into traditional industrial settings requires several changes in operational capabilities. It is essential to consider the following priorities, 1) gain understanding and knowledge in design for AM, 2) build robust AM infrastructure as an integral part of existing infrastructure, 3) evaluate AM process changes in product development and production, 4) establish an internal AM team with at least one person working full time with AM, 5) establish collaborations with suitable AM research partners, and 6) conduct AM management and evaluate the business impact not only short-term but also long-term. Future research should investigate operational capabilities from other use cases, dynamic capabilities in the same or similar contexts, and transform the required operational capabilities into guidelines and best practices for managers and other decision-makers in the manufacturing industry.

National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:mdh:diva-64467 (URN)10.1007/978-3-031-43666-6_40 (DOI)2-s2.0-85174438112 (Scopus ID)978-3-031-43665-9 (ISBN)978-3-031-43666-6 (ISBN)
Conference
IFIP International Conference on Advances in Production Management Systems, APMS 2023
Available from: 2023-10-06 Created: 2023-10-06 Last updated: 2023-10-26Bibliographically approved
Sanchez de Ocana, A., Bruch, J. & Aslanidou, I. (2023). Model Simplification: Addressing Digital Twin Challenges and Requirements in Manufacturing. In: Alfnes, E., Romsdal, A., Strandhagen, J.O., von Cieminski, G., Romero, D (Ed.), Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures: . Paper presented at IFIP International Conference on Advances in Production Management Systems, APMS 2023 (pp. 287-301).
Open this publication in new window or tab >>Model Simplification: Addressing Digital Twin Challenges and Requirements in Manufacturing
2023 (English)In: Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures / [ed] Alfnes, E., Romsdal, A., Strandhagen, J.O., von Cieminski, G., Romero, D, 2023, p. 287-301Conference paper, Published paper (Refereed)
Abstract [en]

Leveraging the potential of digital twins is of utmost importance to support smart production. Digital twin research has principally focused on defining digital twin concepts and applications and proposing various frameworks for their implementation. Less is known about using simplified models to overcome many challenges related to digital twin models. Based on a longitudinal case study at a multinational manufacturing company engaged in digital twins in manufacturing efforts, this paper identifies the main challenges encountered related to people, processes, and technology, as well as requirements placed on a digital twin. This study also presents the opportunities of applying simplified models for digital twins to overcome the identified challenges and fulfill the defined requirements. The present study provides theoretical and practical implications of the development of digital twins in manufacturing, focusing attention on the challenges and requirements that affect the outcome of the manufacturing company to drive digital twin efforts.

National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:mdh:diva-64538 (URN)10.1007/978-3-031-43666-6_20 (DOI)2-s2.0-85174445280 (Scopus ID)978-3-031-43665-9 (ISBN)978-3-031-43666-6 (ISBN)
Conference
IFIP International Conference on Advances in Production Management Systems, APMS 2023
Available from: 2023-10-17 Created: 2023-10-17 Last updated: 2023-10-26Bibliographically approved
Fattouh, A., Chirumalla, K., Ahlskog, M., Behnam, M., Hatvani, L. & Bruch, J. (2023). Remote integration of advanced manufacturing technologies into production systems: integration processes, key challenges and mitigation actions. Journal of Manufacturing Technology Management
Open this publication in new window or tab >>Remote integration of advanced manufacturing technologies into production systems: integration processes, key challenges and mitigation actions
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2023 (English)In: Journal of Manufacturing Technology Management, ISSN 1741-038X, E-ISSN 1758-7786Article in journal (Refereed) Published
Abstract [en]

The study examines the remote integration process of advanced manufacturing technology (AMT) into the production system and identifies key challenges and mitigating actions for a smoother introduction and integration process.

Design/methodology/approach: The study adopts a case study approach to a cyber-physical production system at an industrial technology center using a mobile robot as an AMT.

Findings: By applying the plug-and-produce concept, the study exemplifies an AMT's remote integration process into a cyber-physical production system in nine steps. Eleven key challenges and twelve mitigation actions for remote integration are described based on technology–organization–environment theory. Finally, a remote integration framework is proposed to facilitate AMT integration into production systems.

Practical implications: The study presents results purely from a practical perspective, which could reduce dilemmas in early decision-making related to smart production. The proposed framework can improve flexibility and decrease the time needed to configure new AMTs in existing production systems.

Originality/value: The area of remote integration for AMT has not been addressed in depth before. The consequences of lacking in-depth studies for remote integration imply that current implementation processes do not match the needs and the existing situation in the industry and often underestimate the complexity of considering both technological and organizational issues. The new integrated framework can already be deployed by industry professionals in their efforts to integrate new technologies with shorter time to volume and increased quality but also as a means for training employees in critical competencies required for remote integration.

Keywords
Technology adoption, Industry 4.0 implementation, Cyber-physical production system, Plug and produce, Smart production, Mobile robot, TOE framework, Production system development, Process innovation, Technology integration
National Category
Engineering and Technology Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:mdh:diva-61541 (URN)10.1108/jmtm-02-2022-0087 (DOI)000916547200001 ()2-s2.0-85146389784 (Scopus ID)
Available from: 2023-01-19 Created: 2023-01-19 Last updated: 2024-01-09Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-5963-2470

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