A Framework for Identification of Complexity Drivers in Manufacturing Companies

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

Resumé

The initial issue of complexity management in companies is the identification of the drivers of complexity. However, current literature lacks methods for assisting practitioners in the initial identification of such drivers. This paper, therefore, presents a novel framework for assisting practitioners with identifying complexity drivers in manufacturing companies. The framework uses a generic value chain and a generic product structure as its two dimensions. Multiple workshops are then conducted with company representatives across different value chain fields focusing on two main parts: First, surveys are used to assign complexity ratings to different generic product structure elements. Secondly, the complexity ratings are elaborated on by workshop participants. The process provides valuable insights into the perceived complexity drivers. The framework is then verified through a case study in the process industry. Based on the case study, multiple complexity drivers were identified across both value chain fields and product structure elements. The case study findings show that the framework facilitates practitioners in identifying organization-wide perceived complexity drivers. The framework contributes to both industry and research by addressing a neglected aspect of complexity management. It achieves this by providing a comprehensive and structured approach for the initial identification of complexity drivers across product elements and value chain fields.

OriginalsprogEngelsk
TitelAdvances in Production Management Systems. Production Management for the Factory of the Future : IFIP WG 5.7 International Conference, APMS 2019, Austin, TX, USA, September 1–5, 2019, Proceedings, Part I
RedaktørerFarhad Ameri, Kathryn E. Stecke, Gregor von Cieminski, Dimitris Kiritsis
Antal sider8
ForlagSpringer
Publikationsdato2019
Sider392-399
ISBN (Trykt)978-3-030-29999-6
ISBN (Elektronisk)978-3-030-30000-5
DOI
StatusUdgivet - 2019
BegivenhedIFIP WG 5.7 International Conference, APMS 2019 - Hilton Austin, Texas, Austin, TX, USA
Varighed: 2 sep. 20195 sep. 2019
https://www.apms-conference.org

Konference

KonferenceIFIP WG 5.7 International Conference, APMS 2019
LokationHilton Austin, Texas
LandUSA
ByAustin, TX
Periode02/09/201905/09/2019
Internetadresse
NavnIFIP AICT - Advances in Information and Communication technology
Vol/bind566
ISSN1571-5736

Fingerprint

Industry

Citer dette

Andersen, R., Brunø, T. D., & Nielsen, K. (2019). A Framework for Identification of Complexity Drivers in Manufacturing Companies. I F. Ameri, K. E. Stecke, G. von Cieminski, & D. Kiritsis (red.), Advances in Production Management Systems. Production Management for the Factory of the Future: IFIP WG 5.7 International Conference, APMS 2019, Austin, TX, USA, September 1–5, 2019, Proceedings, Part I (s. 392-399). Springer. IFIP AICT - Advances in Information and Communication technology, Bind. 566 https://doi.org/10.1007/978-3-030-30000-5_49
Andersen, Rasmus ; Brunø, Thomas Ditlev ; Nielsen, Kjeld. / A Framework for Identification of Complexity Drivers in Manufacturing Companies. Advances in Production Management Systems. Production Management for the Factory of the Future: IFIP WG 5.7 International Conference, APMS 2019, Austin, TX, USA, September 1–5, 2019, Proceedings, Part I. red. / Farhad Ameri ; Kathryn E. Stecke ; Gregor von Cieminski ; Dimitris Kiritsis. Springer, 2019. s. 392-399 (IFIP AICT - Advances in Information and Communication technology, Bind 566).
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abstract = "The initial issue of complexity management in companies is the identification of the drivers of complexity. However, current literature lacks methods for assisting practitioners in the initial identification of such drivers. This paper, therefore, presents a novel framework for assisting practitioners with identifying complexity drivers in manufacturing companies. The framework uses a generic value chain and a generic product structure as its two dimensions. Multiple workshops are then conducted with company representatives across different value chain fields focusing on two main parts: First, surveys are used to assign complexity ratings to different generic product structure elements. Secondly, the complexity ratings are elaborated on by workshop participants. The process provides valuable insights into the perceived complexity drivers. The framework is then verified through a case study in the process industry. Based on the case study, multiple complexity drivers were identified across both value chain fields and product structure elements. The case study findings show that the framework facilitates practitioners in identifying organization-wide perceived complexity drivers. The framework contributes to both industry and research by addressing a neglected aspect of complexity management. It achieves this by providing a comprehensive and structured approach for the initial identification of complexity drivers across product elements and value chain fields.",
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Andersen, R, Brunø, TD & Nielsen, K 2019, A Framework for Identification of Complexity Drivers in Manufacturing Companies. i F Ameri, KE Stecke, G von Cieminski & D Kiritsis (red), Advances in Production Management Systems. Production Management for the Factory of the Future: IFIP WG 5.7 International Conference, APMS 2019, Austin, TX, USA, September 1–5, 2019, Proceedings, Part I. Springer, IFIP AICT - Advances in Information and Communication technology, bind 566, s. 392-399, IFIP WG 5.7 International Conference, APMS 2019, Austin, TX, USA, 02/09/2019. https://doi.org/10.1007/978-3-030-30000-5_49

A Framework for Identification of Complexity Drivers in Manufacturing Companies. / Andersen, Rasmus; Brunø, Thomas Ditlev; Nielsen, Kjeld.

Advances in Production Management Systems. Production Management for the Factory of the Future: IFIP WG 5.7 International Conference, APMS 2019, Austin, TX, USA, September 1–5, 2019, Proceedings, Part I. red. / Farhad Ameri; Kathryn E. Stecke; Gregor von Cieminski; Dimitris Kiritsis. Springer, 2019. s. 392-399 (IFIP AICT - Advances in Information and Communication technology, Bind 566).

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

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Andersen R, Brunø TD, Nielsen K. A Framework for Identification of Complexity Drivers in Manufacturing Companies. I Ameri F, Stecke KE, von Cieminski G, Kiritsis D, red., Advances in Production Management Systems. Production Management for the Factory of the Future: IFIP WG 5.7 International Conference, APMS 2019, Austin, TX, USA, September 1–5, 2019, Proceedings, Part I. Springer. 2019. s. 392-399. (IFIP AICT - Advances in Information and Communication technology, Bind 566). https://doi.org/10.1007/978-3-030-30000-5_49