A HYBRID HEURISTIC ALGORITHM FOR INTEGRATED PROBLEM OF MACHINE SCHEDULING AND UNIDIRECTIONAL FLOW PATH DESIGN
DC Field | Value | Language |
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dc.contributor.author | Zheng, Yan | - |
dc.contributor.author | Xiao, Yujie | - |
dc.contributor.author | Seo, Yoonho | - |
dc.date.accessioned | 2021-09-05T01:10:44Z | - |
dc.date.available | 2021-09-05T01:10:44Z | - |
dc.date.created | 2021-06-15 | - |
dc.date.issued | 2015 | - |
dc.identifier.issn | 1072-4761 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/96312 | - |
dc.description.abstract | During the past few decades, unidirectional flow path design (UFD) and machines scheduling (MS) problems have been well-studied separately. However, only considering UFD or MS cannot guarantee the global optimal solution for the whole production. The reason is that UFD and MS are two correlated issues in the real production situation. This paper is to propose a new integrated model, called iUFD/MS, with the objective of minimizing makespan. In iUFD/MS, UFD and MS problems are simultaneously considered. Due to the high complexity of iUFD/MS, a hybrid heuristic algorithm based on the particle swarm optimization is developed to get an optimal or near-optimal solution within a reasonable time period. To validate our integrated model, a set of experiments is solved by applying the proposed solution method and the traditional method, respectively. The result shows that our integrated model can efficiently reduce makespan by 8.9% on average. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | UNIV CINCINNATI INDUSTRIAL ENGINEERING | - |
dc.subject | PARTICLE SWARM OPTIMIZATION | - |
dc.subject | TABU SEARCH ALGORITHM | - |
dc.subject | SYSTEM | - |
dc.title | A HYBRID HEURISTIC ALGORITHM FOR INTEGRATED PROBLEM OF MACHINE SCHEDULING AND UNIDIRECTIONAL FLOW PATH DESIGN | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Seo, Yoonho | - |
dc.identifier.scopusid | 2-s2.0-84962361628 | - |
dc.identifier.wosid | 000373357500003 | - |
dc.identifier.bibliographicCitation | INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE, v.22, no.6, pp.717 - 728 | - |
dc.relation.isPartOf | INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE | - |
dc.citation.title | INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE | - |
dc.citation.volume | 22 | - |
dc.citation.number | 6 | - |
dc.citation.startPage | 717 | - |
dc.citation.endPage | 728 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Engineering, Industrial | - |
dc.relation.journalWebOfScienceCategory | Engineering, Manufacturing | - |
dc.subject.keywordPlus | PARTICLE SWARM OPTIMIZATION | - |
dc.subject.keywordPlus | TABU SEARCH ALGORITHM | - |
dc.subject.keywordPlus | SYSTEM | - |
dc.subject.keywordAuthor | integrated problem | - |
dc.subject.keywordAuthor | flow path design | - |
dc.subject.keywordAuthor | machine scheduling | - |
dc.subject.keywordAuthor | flexible process plans | - |
dc.subject.keywordAuthor | particle swarm optimization | - |
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