The cyclic job-shop scheduling problem: The new subclass of the job-shop problem and applying the Simulated annealing to solve it
June 19, 2020 ยท Declared Dead ยท ๐ International Conference on Industrial Engineering, Applications and Manufacturing
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Authors
Pavel Matrenin, Vadim Manusov
arXiv ID
2006.10938
Category
cs.NE: Neural & Evolutionary
Cross-listed
cs.AI
Citations
6
Venue
International Conference on Industrial Engineering, Applications and Manufacturing
Last Checked
4 months ago
Abstract
In the paper, the new approach to the scheduling problem are described. The approach deals with the problem of planning the cyclic production and proposes to consider such scheduling problem as the cyclic job-shop problem of the order k, where k is the number of reiterations. It was found out that planning of only one iteration of the loop is less effective than planning of the entire cycle. To the experimental research, a number of test instances of the job-shop scheduling problem by Operation Research Library were used. The Simulated Annealing was applied to solve the instances. The experiments proved that the approach proposed allows increasing the efficiency of cyclic scheduling significantly.
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