A genetic algorithm for fuzzy order acceptance and scheduling problem

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dc.contributor.authorKarakaş, Esra
dc.contributor.authorÖzpalamutçu, Hakan
dc.date.accessioned2025-01-06T17:30:12Z
dc.date.available2025-01-06T17:30:12Z
dc.date.issued2019
dc.description.abstractIn light of the imprecise and fuzzy nature of real production environments, the order acceptance and scheduling (OAS) problem is associated with fuzzy processing times, fuzzy sequence dependent set up time and fuzzy due dates. In this study, a genetic algorithm (GA) which uses fuzzy ranking methods is proposed to solve the fuzzy OAS problem. The proposed algorithm is illustrated and analyzed using examples with different order sizes. As illustrative numerical examples, fuzzy OAS problems with 10, 15, 20, 25, 30 and 100 orders are considered. The feasibility and effectiveness of the proposed method are demonstrated. Due to the NP-hard nature of the problem, the developed GA has great importance to obtain a solution even for big scale fuzzy OAS problem. Also, the proposed GA can be utilized easily by all practitioners via the developed user interface. © 2019 Balikesir University. All rights reserved.
dc.description.sponsorshipUnit of Scientific Research Project Coordination of Adana Alparslan Türkeş Science and Technology University, (16103008)
dc.identifier.doi10.11121/ijocta.01.2019.00711
dc.identifier.endpage196
dc.identifier.issn2146-0957
dc.identifier.issue2
dc.identifier.scopus2-s2.0-85068926527
dc.identifier.scopusqualityQ2
dc.identifier.startpage186
dc.identifier.trdizinid312890
dc.identifier.urihttps://doi.org/10.11121/ijocta.01.2019.00711
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/312890
dc.identifier.urihttps://hdl.handle.net/20.500.14669/1520
dc.identifier.volume9
dc.indekslendigikaynakScopus
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.publisherBalikesir University
dc.relation.ispartofInternational Journal of Optimization and Control: Theories and Applications
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241211
dc.subjectFuzzy programming
dc.subjectGenetic algorithm
dc.subjectIntegral value
dc.subjectOrder acceptance and Scheduling
dc.subjectSigned distance
dc.titleA genetic algorithm for fuzzy order acceptance and scheduling problem
dc.typeArticle

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