An effective discrete harmony search algorithm for flexible job shop scheduling problem with fuzzy processing time

dc.contributor.author Kai Zhou Gao
dc.contributor.author Ponnuthurai Nagaratnam Suganthan
dc.contributor.author Quan Ke Pan
dc.contributor.author Mehmet Fatih Tasgetiren
dc.date OCT 2
dc.date.accessioned 2025-10-06T16:22:52Z
dc.date.issued 2015
dc.description.abstract This study addresses flexible job shop scheduling problem (FJSP) with fuzzy processing time. The fuzzy or uncertainty of processing time is one of seven characteristics in remanufacturing. A discrete harmony search (DHS) algorithm is proposed for FJSP with fuzzy processing time. The objective is to minimise maximum fuzzy completion time. A simple and effective heuristic rule is proposed to initialise harmony population. Extensive computational experiments are carried out using five benchmark cases with eight instances from remanufacturing. The proposed heuristic rule is evaluated using five benchmark cases. The proposed DHS algorithm is compared to six metaheuristics. The results and comparisons show the effectiveness and efficiency of DHS for solving FJSP with fuzzy processing time.
dc.identifier.doi 10.1080/00207543.2015.1020174
dc.identifier.issn 0020-7543
dc.identifier.issn 1366-588X
dc.identifier.uri http://dx.doi.org/10.1080/00207543.2015.1020174
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/7593
dc.language.iso English
dc.publisher TAYLOR & FRANCIS LTD
dc.relation.ispartof International Journal of Production Research
dc.source INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
dc.subject discrete harmony search, flexible job shop scheduling, fuzzy processing time, fuzzy completion time, remanufacturing
dc.subject GENETIC ALGORITHM, OPTIMIZATION ALGORITHM, FLOW-SHOP, COLONY
dc.title An effective discrete harmony search algorithm for flexible job shop scheduling problem with fuzzy processing time
dc.type Article
dspace.entity.type Publication
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gdc.collaboration.industrial false
gdc.description.endpage 5911
gdc.description.startpage 5896
gdc.description.volume 53
gdc.identifier.openalex W1971498253
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gdc.oaire.sciencefields 0209 industrial biotechnology
gdc.oaire.sciencefields 0202 electrical engineering, electronic engineering, information engineering
gdc.oaire.sciencefields 02 engineering and technology
gdc.openalex.collaboration International
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gdc.opencitations.count 74
gdc.plumx.crossrefcites 15
gdc.plumx.mendeley 43
gdc.plumx.scopuscites 97
oaire.citation.endPage 5911
oaire.citation.startPage 5896
person.identifier.orcid Tasgetiren- Mehmet Fatih/0000-0002-5716-575X, gao- kaizhou/0000-0002-9252-6928, Tasgetiren- M. Fatih/0000-0001-8625-3671, Pan- QUAN-KE/0000-0002-5022-7946, Suganthan- Ponnuthurai Nagaratnam/0000-0003-0901-5105,
project.funder.name foundation of A*Star (Agency for Science- Technology and Research- Singapore): Remanufacturing Scheduling Systems [112 290 4021], National Science Foundation of China [61104179], project of Shandong Province Higher Education Science and Technology Program [J14LN28]
publicationissue.issueNumber 19
publicationvolume.volumeNumber 53
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