Journal Title
Title of Journal:
|
|
|
|
|
|
Authors: Christophe Sauvey Nathalie Sauer Wajdi Trabelsi
Publish Date: 2015
Volume: , Issue: , Pages: 331-342
Abstract
Jobshop scheduling problem is a very hard issue in operations research and is studied since a long time with a wide variety of constraints This paper addresses the jobshop scheduling problem with a new kind of constraint The particular issue we have been interested in is about mixed blocking constraints from an operation to its successor in job tasks list In this paper a mathematic model is proposed and its results in Mosel Xpress software presented Then an evaluation function is proposed and tested with a genetic algorithm on this problem Results are given and compared to optimal results obtained with the mathematic model on four benchmarks each composed of twenty instances
Keywords:
.
|
Other Papers In This Journal:
|