Robust planning of production networks at an automotive supplier

Oliver Bruetzel, Moritz Hörger, Anthony Foran, Martin Benfer, Aydin Nassehi and Gisela Lanza

International Journal of Production Research, 2025, vol. 63, issue 9, 3365-3383

Abstract: As global trends like individualisation continue to drive significant changes in industrial production within international networks, it has become increasingly crucial for companies to maintain competitiveness through the efficient utilisation of resources. The rising complexity in production networks originates from an increasing number of constraints due to company-specific requirements, coupled with expanding networks that broaden the solution space, ultimately leading to prolonged planning processes. Furthermore, current planning tasks are predominantly performed manually, as the extensive efforts required for data acquisition often render the use of solution algorithms infeasible due to incomplete or inaccurate data. Therefore, this study explores robust planning of production networks, employing Monte–Carlo simulation and clustering for scenario generation, stochastic modelling concepts to tackle the mathematical problem, and utilising DT concepts for data integration at the network level.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/00207543.2024.2436638 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tprsxx:v:63:y:2025:i:9:p:3365-3383

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/TPRS20

DOI: 10.1080/00207543.2024.2436638

Access Statistics for this article

International Journal of Production Research is currently edited by Professor A. Dolgui

More articles in International Journal of Production Research from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().