|
|||||
|
|
Optimizing real-time vehicle sequencing of a paint shop conveyor system |
|
| Institution: | 1. Department of Electrical and Computer Engineering, North South University, Dhaka, Bangladesh;2. Department of Industrial and Manufacturing Systems Engineering, The University of Texas at Arlington, Box 19017, Arlington, TX 76019, USA;3. Department of Computer Science and Engineering, The University of Texas at Arlington, Box 19015, Arlington, TX 76019, USA;1. University of Graz, Austria;2. Università Roma Tre, Italy;3. Università di Roma Tor Vergata, Italy;1. Institute of Computing Science, Poznań University of Technology, Piotrowo 2, 60-965 Poznań, Poland;2. Econometric Institute, Erasmus School of Economics, Erasmus University Rotterdam, The Netherlands;3. CEG-IST, Instituto Superior Técnico, Universidade de Lisboa, Portugal |
| Abstract: | A discrete event simulation model and a decision optimizer that were developed for a General Motors paint shop conveyor system are presented. The simulation model interacts with the decision optimizer at four critical points in the system, trying to regroup batches of different colored vehicles. The decision optimizer employs dynamic programming and integer programming to optimize vehicle routing policies. Simulation results of the current decision making policies are compared with those of the proposed optimized policies showing that the number of paint head changes can be significantly reduced resulting in substantial savings on paint head cleaners and paint. |
| Keywords: | Simulation Integer programming Dynamic programming |
| 本文献已被 ScienceDirect 等数据库收录！ | |