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Exploring Interdependency Effects of Production Orders as Central Impact Factors of Logistics Performance in Manufacturing Systems

 
: Vican, V.; Arlinghaus, J.

:

Dolgui, Alexandre ; International Federation for Information Processing -IFIP-; International Federation for Information Processing -IFIP-, Working Group 5.7 Advances in Production Management Systems:
Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. Proceedings. Pt.I : IFIP WG 5.7 International Conference, APMS 2021, Nantes, France, September 5-9, 2021
Cham: Springer Nature, 2021 (IFIP advances in information and communication technology 630)
ISBN: 978-3-030-85873-5 (Print)
ISBN: 978-3-030-85874-2 (Online)
ISBN: 978-3-030-85875-9
ISBN: 978-3-030-85876-6
S.180-187
International Conference on Advances in Production Management Systems (APMS) <2021, Online>
Englisch
Konferenzbeitrag
Fraunhofer IFF ()

Abstract
Production planning relies on accurate predictions of logistics performance indicators for production orders. Unforeseen interdependencies operational among production orders, such as unplanned prioritisation, may lead to compounding delay effects, which may negatively affect logistics performance. In this contribution, we present a general framework as well as new interdisciplinary methods for understanding production order interdependencies. We deliver first evidence of such effects in real manufacturing systems, which may lead to performance improvements when predicting logistics performance. Based on the results of this contribution, first insights into the drivers of such effects are derived.

: http://publica.fraunhofer.de/dokumente/N-641312.html