Yayın: Multi-objective permutation flow shop scheduling problem: Literature review, classification and current trends
| dc.contributor.author | Yenisey, Mehmet Mutlu | |
| dc.contributor.buuauthor | Yağmahan, Betül | |
| dc.contributor.department | Mühendislik Fakültesi | |
| dc.contributor.department | Endüstri Mühendisliği Bölümü | |
| dc.contributor.orcid | 0000-0002-4532-344X | |
| dc.contributor.orcid | 0000-0003-1744-3062 | |
| dc.contributor.researcherid | J-2416-2015 | |
| dc.contributor.researcherid | B-5557-2017 | |
| dc.contributor.scopusid | 23487445600 | |
| dc.date.accessioned | 2022-08-22T12:14:48Z | |
| dc.date.available | 2022-08-22T12:14:48Z | |
| dc.date.issued | 2014-06 | |
| 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. | |
| 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. | |
| dc.identifier.doi | 10.1016/j.omega.2013.07.004 | |
| dc.identifier.endpage | 135 | |
| dc.identifier.issn | 0305-0483 | |
| dc.identifier.scopus | 2-s2.0-84893734286 | |
| dc.identifier.startpage | 119 | |
| 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.identifier.volume | 45 | |
| dc.identifier.wos | 000333232300009 | |
| dc.indexed.wos | SCIE | |
| dc.indexed.wos | SSCI | |
| dc.language.iso | en | |
| dc.publisher | Pergamon-Elsevier | |
| dc.relation.collaboration | Yurt içi | |
| dc.relation.journal | Omega (United Kingdom) | |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.subject | Flow shop | |
| dc.subject | Scheduling | |
| dc.subject | Multi-objective | |
| dc.subject | Literature review | |
| dc.subject | Research directions | |
| dc.subject | Ant colony optimization | |
| dc.subject | Genetic local search | |
| dc.subject | Particle swarm optimization | |
| dc.subject | Minimize makespan | |
| dc.subject | Maximum tardiness | |
| dc.subject | Bound approach | |
| dc.subject | N-job | |
| dc.subject | Algorithm | |
| dc.subject | Bicriteria | |
| dc.subject | 2-machine | |
| dc.subject | Business & economics | |
| dc.subject | Operations research & management science | |
| dc.subject.scopus | Flow Shop Scheduling; Permutation Flowshop; Scheduling Problem | |
| dc.subject.wos | Management | |
| dc.subject.wos | Operations research & management science | |
| dc.title | Multi-objective permutation flow shop scheduling problem: Literature review, classification and current trends | |
| dc.type | Review | |
| dc.wos.quartile | Q1 | |
| dspace.entity.type | Publication | |
| local.contributor.department | Mühendislik Fakültesi/Endüstri Mühendisliği Bölümü | |
| local.indexed.at | Scopus | |
| local.indexed.at | WOS |
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