Feldhütter, VeronikaVeronikaFeldhütterSteck, CorinnaCorinnaSteckHawer, SvenSvenHawerTen Hompel, MichaelMichaelTen Hompel2022-03-052022-03-052017https://publica.fraunhofer.de/handle/publica/24887210.1016/j.procir.2016.06.078Globalization 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.enadvanced data analysisBig DataProduct Complexitypattern recognitionStructural equation modelingjournal article