Journal article
Simulation Toolkit for autonomous control in serial production networks of automotive suppliers



Publication Details
Authors:
Müller-Boyaci, P.; Wenzel, S.
Publication year:
2016
Journal:
Journal of Simulation
Pages range:
123-136
Journal acronym:
JOS
Volume number:
10
Issue number:
2
ISSN:
1747-7778

Abstract


This contribution presents a Simulation Toolkit that is addressed to automotive suppliers who need to identify implications from autonomous control within their production and logistics system by using computer simulation. Thereby, four different autonomous control strategies within serial production lines are derived. Computer simulation supports selection and realization of the right strategy in dependence of the individual production and logistics processes of the user. First, a general flow shop scenario representing

typical serial production networks of automotive suppliers is considered. Different types of products are manufactured. Each product type is preferably produced on one specific line. In order to maintain validity, a time-continuous approximation of a discrete event simulation model of the flow shop is realized. The introduced Simulation Toolkit helps its user to identify the right

simulation model in dependence of the user background as well as the underlying production system. Furthermore, it allows implementation within a deterministic or stochastic environment.




Keywords
control, inventory, logistics, production, stochastic processes


Authors/Editors

Last updated on 2019-25-07 at 13:22