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Impacts of product-driven complexity on the success of logistics in the automotive sector

: Feldhütter, Veronika; Steck, Corinna; Hawer, Sven; Ten Hompel, Michael

Volltext ()

Procedia CIRP (2017), 62, S.129-134
ISSN: 2212-8271
International Conference on Intelligent Computation in Manufacturing Engineering (ICME) <10, 2016, Ischia>
Konferenzbeitrag, Zeitschriftenaufsatz, Elektronische Publikation
Fraunhofer IML ()
advanced data analysis; Big Data; Product Complexity; pattern recognition; Structural equation modeling

Globalization and higher market heterogeneity have led to a substantial increase of model variety in the automotive sector. Caused by the necessity to integrate a growing number of models into existing plant structures a considerable increase of complexity is observable within the OEMs' manufacturing plants, especially in logistics. This often has a negative effect on the companies' processes and cost structures. To examine these impacts on logistics, structural equation modeling isused in this paper to determine causalities between indicators for product-complexity and logistics KPIs. Furthermore, a method for the operationalization of product-driven complexity is provided and implemented in a use case. © 2017 The Authors. Published by Elsevier B.V.