ecms_neu_mini.png

Digital Library

of the European Council for Modelling and Simulation

 

Title:

Deriving A Mathematical Model Of A Paint Shop From Data Analysis

Authors:

Thomas Husslein, Christian Danner, Markus Seidl, Joerg Breidbach, Wolfgang Lauf

Published in:

 

(2014).ECMS 2014 Proceedings edited by: Flaminio Squazzoni, Fabio Baronio, Claudia Archetti, Marco Castellani  European Council for Modeling and Simulation. doi:10.7148/2014

 

ISBN: 978-0-9564944-8-1

 

28th European Conference on Modelling and Simulation,

Brescia, Italy, May 27th – 30th, 2014

Citation format:

Thomas Husslein, Christian Danner, Markus Seidl, Joerg Breidbach, Wolfgang Lauf (2014). Deriving A Mathematical Model Of A Paint Shop From Data Analysis, ECMS 2014 Proceedings edited by: Flaminio Squazzoni, Fabio Baronio, Claudia Archetti, Marco Castellani  European Council for Modeling and Simulation. doi:10.7148/2014-0670

DOI:

http://dx.doi.org/10.7148/2014-0670

Abstract:

The authors deal with the optimization of production planning in the mixed-model assembly production. Modern paint shops are highly complex facilities with a multitude of interdependent process steps. In order to describe the occurring throughput and processing times, the behavior of these times is of great interest for production planning, a modeling of the paint shop is necessary. The disruptions appearing here, which are a major source for delays and reorganizations within the car plant, are due to the complex structure and various rework. In this work, an alternate formulation of a long term reliable model is discussed: The description of the paint shop based on a stochastic model which is directly derived from data analysis of the production data.

Full text: