Scheduling Tests on Vehicle Prototypes using Constraint Programming. In proceedings of the 3rd Multidisciplinary International Conference on Scheduling : Theory and Applications (MISTA 2007), 28 -31 August 2007, Paris, France, pages 336-343, 2007.
Paper
In this paper, we address the problem of scheduling tests on vehicle prototypes using Constraint Programming. The problem originates in the automotive industry where a manufacturer must perform several hundreds of tests on prototypes before starting mass production of a vehicle. Each test must be allocated to an appropriate prototype with respect to hardware requirements. Further, it is necessary to observe various test dependencies. The manufacturer is interested in reducing the number of prototypes to save test costs and in minimizing the makespan in order to start the production as early as possible. We formulate the problem using Constraint Programming with the makespan being the primary objective. The number of prototypes is a parameter which must be specified before starting the optimization procedure. Using exemplary input data given from a car manufacturer, we solve this single objective optimization problem several times for different values of our parameter to determine the relation between the number of prototypes and the corresponding makespan. We are able to either find the optimal solution or at least a good feasible solution within a reasonable computational time even for our largest problem size comprising about five hundreds tests and more than one hundred prototypes.
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@INPROCEEDINGS{2007-336-343-P, author = {K. Limtanyakul and U. Schwiegelshohn},
title = {Scheduling Tests on Vehicle Prototypes using Constraint Programming},
booktitle = {In proceedings of the 3rd Multidisciplinary International Conference on Scheduling : Theory and Applications (MISTA 2007), 28 -31 August 2007, Paris, France},
year = {2007},
editor = {P. Baptiste and G. Kendall and A. Munier-Kordon and F. Sourd},
pages = {336--343},
note = {Paper},
abstract = {In this paper, we address the problem of scheduling tests on vehicle prototypes using Constraint Programming. The problem originates in the automotive industry where a manufacturer must perform several hundreds of tests on prototypes before starting mass production of a vehicle. Each test must be allocated to an appropriate prototype with respect to hardware requirements. Further, it is necessary to observe various test dependencies. The manufacturer is interested in reducing the number of prototypes to save test costs and in minimizing the makespan in order to start the production as early as possible. We formulate the problem using Constraint Programming with the makespan being the primary objective. The number of prototypes is a parameter which must be specified before starting the optimization procedure. Using exemplary input data given from a car manufacturer, we solve this single objective optimization problem several times for different values of our parameter to determine the relation between the number of prototypes and the corresponding makespan. We are able to either find the optimal solution or at least a good feasible solution within a reasonable computational time even for our largest problem size comprising about five hundreds tests and more than one hundred prototypes.},
owner = {user},
timestamp = {2012.05.21},
webpdf = {2007-336-343-P.pdf} }