A Framework for Identification of Complexity Drivers in Manufacturing Companies

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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.

Original languageEnglish
Title of host publicationAdvances 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
EditorsFarhad Ameri, Kathryn E. Stecke, Gregor von Cieminski, Dimitris Kiritsis
Number of pages8
PublisherSpringer
Publication date2019
Pages392-399
ISBN (Print)978-3-030-29999-6
ISBN (Electronic)978-3-030-30000-5
DOIs
Publication statusPublished - 2019
EventIFIP WG 5.7 International Conference, APMS 2019 - Hilton Austin, Texas, Austin, TX, United States
Duration: 2 Sep 20195 Sep 2019
https://www.apms-conference.org

Conference

ConferenceIFIP WG 5.7 International Conference, APMS 2019
LocationHilton Austin, Texas
CountryUnited States
CityAustin, TX
Period02/09/201905/09/2019
Internet address
SeriesIFIP AICT - Advances in Information and Communication technology
Volume566
ISSN1571-5736

Fingerprint

Industry

Keywords

  • Complexity driver
  • Complexity management
  • Framework
  • Identification
  • Manufacturing

Cite this

Andersen, R., Brunø, T. D., & Nielsen, K. (2019). A Framework for Identification of Complexity Drivers in Manufacturing Companies. In F. Ameri, K. E. Stecke, G. von Cieminski, & D. Kiritsis (Eds.), 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 (pp. 392-399). Springer. IFIP AICT - Advances in Information and Communication technology, Vol.. 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. editor / Farhad Ameri ; Kathryn E. Stecke ; Gregor von Cieminski ; Dimitris Kiritsis. Springer, 2019. pp. 392-399 (IFIP AICT - Advances in Information and Communication technology, Vol. 566).
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Andersen, R, Brunø, TD & Nielsen, K 2019, A Framework for Identification of Complexity Drivers in Manufacturing Companies. in F Ameri, KE Stecke, G von Cieminski & D Kiritsis (eds), 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, vol. 566, pp. 392-399, IFIP WG 5.7 International Conference, APMS 2019, Austin, TX, United States, 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. ed. / Farhad Ameri; Kathryn E. Stecke; Gregor von Cieminski; Dimitris Kiritsis. Springer, 2019. p. 392-399 (IFIP AICT - Advances in Information and Communication technology, Vol. 566).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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Andersen R, Brunø TD, Nielsen K. A Framework for Identification of Complexity Drivers in Manufacturing Companies. In Ameri F, Stecke KE, von Cieminski G, Kiritsis D, editors, 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. p. 392-399. (IFIP AICT - Advances in Information and Communication technology, Vol. 566). https://doi.org/10.1007/978-3-030-30000-5_49