Robust scheduling for multi-objective flexible job-shop problems with random machine breakdowns

This study addresses robust scheduling for a flexible job-shop scheduling problem with random machine breakdowns. Two objectives – makespan and robustness – are simultaneously considered. Robustness is indicated by the expected value of the relative difference between the deterministic and actual ma...

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Vydáno v:International journal of production economics Ročník 141; číslo 1; s. 112 - 126
Hlavní autoři: Xiong, Jian, Xing, Li-ning, Chen, Ying-wu
Médium: Journal Article
Jazyk:angličtina
Vydáno: Amsterdam Elsevier B.V 01.01.2013
Elsevier
Elsevier Sequoia S.A
Témata:
Breakdown
Breakdowns
Economics
Evolutionary algorithms
Expected values
Flexible job-shop schedule problem
Floats
Genetic algorithms
Job shops
Machine breakdowns
Multi-objective evolutionary algorithm
Operations research
Position (location)
Production scheduling
Robust scheduling
Robustness
Scheduling
Studies
Surrogate measure
Flexible job-shop schedule problem
Robust scheduling
Machine breakdowns
Multi-objective evolutionary algorithm
Surrogate measure
ISSN:0925-5273, 1873-7579
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Shrnutí:This study addresses robust scheduling for a flexible job-shop scheduling problem with random machine breakdowns. Two objectives – makespan and robustness – are simultaneously considered. Robustness is indicated by the expected value of the relative difference between the deterministic and actual makespan. Utilizing the available information about machine breakdowns, two surrogate measures for robustness are developed. Specifically, the first suggested surrogate measure considers the probability of machine breakdowns, while the second surrogate measure considers the location of float times and machine breakdowns. To address this problem, a multi-objective evolutionary algorithm is presented in this paper. The experimental results indicate that, compared with several other existing surrogate measures, the first suggested surrogate measure performs better for small cases, while the second surrogate measure performs better for both small and relatively large cases.
Bibliografie:SourceType-Scholarly Journals-1
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ISSN:0925-5273
1873-7579
DOI:10.1016/j.ijpe.2012.04.015