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http://hdl.handle.net/11452/28312
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yenisey, Mehmet Mutlu | - |
dc.date.accessioned | 2022-08-22T12:14:48Z | - |
dc.date.available | 2022-08-22T12:14:48Z | - |
dc.date.issued | 2014-06 | - |
dc.identifier.citation | Yenisey, M. M. ve Yağmahan, B. (2014). "Multi-objective permutation flow shop scheduling problem: Literature review, classification and current trends". Omega (United Kingdom), 45, 119-135. | en_US |
dc.identifier.issn | 0305-0483 | - |
dc.identifier.uri | https://doi.org/10.1016/j.omega.2013.07.004 | - |
dc.identifier.uri | https://www.sciencedirect.com/science/article/pii/S0305048313000832 | - |
dc.identifier.uri | http://hdl.handle.net/11452/28312 | - |
dc.description.abstract | The flow shop scheduling problem is finding a sequence given n jobs with same order at m machines according to certain performance measure(s). The job can be processed on at most one machine; meanwhile one machine can process at most one job. The most common objective for this problem is makespan. However, many real-world scheduling problems are multi-objective by nature. Over the years there have been several approaches used to deal with the multi-objective flow shop scheduling problems (MOFSP). Hence, in this study, we provide a brief literature review of the contributions to MOFSP and identify areas of opportunity for future research. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Pergamon-Elsevier | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Flow shop | en_US |
dc.subject | Scheduling | en_US |
dc.subject | Multi-objective | en_US |
dc.subject | Literature review | en_US |
dc.subject | Research directions | en_US |
dc.subject | Ant colony optimization | en_US |
dc.subject | Genetic local search | en_US |
dc.subject | Particle swarm optimization | en_US |
dc.subject | Minimize makespan | en_US |
dc.subject | Maximum tardiness | en_US |
dc.subject | Bound approach | en_US |
dc.subject | N-job | en_US |
dc.subject | Algorithm | en_US |
dc.subject | Bicriteria | en_US |
dc.subject | 2-machine | en_US |
dc.subject | Business & economics | en_US |
dc.subject | Operations research & management science | en_US |
dc.title | Multi-objective permutation flow shop scheduling problem: Literature review, classification and current trends | en_US |
dc.type | Review | en_US |
dc.identifier.wos | 000333232300009 | tr_TR |
dc.identifier.scopus | 2-s2.0-84893734286 | tr_TR |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi | tr_TR |
dc.contributor.department | Uludağ Üniversitesi/Mühendislik Fakültesi/Endüstri Mühendisliği Bölümü. | tr_TR |
dc.contributor.orcid | 0000-0002-4532-344X | tr_TR |
dc.contributor.orcid | 0000-0003-1744-3062 | tr_TR |
dc.identifier.startpage | 119 | tr_TR |
dc.identifier.endpage | 135 | tr_TR |
dc.identifier.volume | 45 | tr_TR |
dc.relation.journal | Omega (United Kingdom) | en_US |
dc.contributor.buuauthor | Yağmahan, Betül | - |
dc.contributor.researcherid | J-2416-2015 | tr_TR |
dc.contributor.researcherid | B-5557-2017 | tr_TR |
dc.relation.collaboration | Yurt içi | tr_TR |
dc.subject.wos | Management | en_US |
dc.subject.wos | Operations research & management science | en_US |
dc.indexed.wos | SCIE | en_US |
dc.indexed.wos | SSCI | en_US |
dc.indexed.scopus | Scopus | en_US |
dc.wos.quartile | Q1 | en_US |
dc.contributor.scopusid | 23487445600 | tr_TR |
dc.subject.scopus | Flow Shop Scheduling; Permutation Flowshop; Scheduling Problem | en_US |
Appears in Collections: | Scopus Web of Science |
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