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

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
• stochastic processes
• simulation
• logistics
• inventory
• production

Acknowledgements

Note—This paper is a revised and expanded version of a paper entitled Autonomous Control in Production Networks under Stochastic Influence presented at 15th ASIM Dedicated Conference Simulation in Production and Logistics, Paderborn, Germany, 9–11 October 2013.