Fuzzy mathematical programming and self-adaptive artificial fish swarm algorithm forjJust-in-time energy-aware flow shop scheduling problem with outsourcing option

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dc.authoridErfan Babaee Tirkolaee / 0000-0003-1664-9210
dc.authorscopusidErfan Babaee Tirkolaee / 57196032874
dc.authorwosidErfan Babaee Tirkolaee / U-3676-2017
dc.contributor.authorTirkolaee, Erfan Babaee
dc.contributor.authorGoli, Alireza
dc.contributor.authorWeber, Gerhard Wilhelm
dc.date.accessioned2020-11-20T11:05:53Z
dc.date.available2020-11-20T11:05:53Z
dc.date.issued2020en_US
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.description.abstractFlow shop scheduling (FSS) problem constitutes a major part of production planning in every manufacturing organization. It aims at determining the optimal sequence of processing jobs on available machines within a given customer order. In this article, a novel biobjective mixed-integer linear programming (MILP) model is proposed for FSS with an outsourcing option and just-in-time delivery in order to simultaneously minimize the total cost of the production system and total energy consumption. Each job is considered to be either scheduled in-house or to be outsourced to one of the possible subcontractors. To efficiently solve the problem, a hybrid technique is proposed based on an interactive fuzzy solution technique and a self-adaptive artificial fish swarm algorithm (SAAFSA). The proposed model is treated as a single objective MILP using a multiobjective fuzzy mathematical programming technique based on the ?-constraint, and SAAFSA is then applied to provide Pareto optimal solutions. The obtained results demonstrate the usefulness of the suggested methodology and high efficiency of the algorithm in comparison with CPLEX solver in different problem instances. Finally, a sensitivity analysis is implemented on the main parameters to study the behavior of the objectives according to the real-world conditions.en_US
dc.identifier.citationTirkolaee, E. B., Goli, A., & Weber, G. W. (2020). Fuzzy Mathematical Programming and Self-Adaptive Artificial Fish Swarm Algorithm for Just-in-Time Energy-Aware Flow Shop Scheduling Problem with Outsourcing Option. IEEE Transactions on Fuzzy Systems.en_US
dc.identifier.doi10.1109/TFUZZ.2020.2998174en_US
dc.identifier.endpage2783en_US
dc.identifier.issn1063-6706en_US
dc.identifier.issue11en_US
dc.identifier.scopus2-s2.0-85088917042en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage2772en_US
dc.identifier.urihttps://www.doi.org/10.1109/TFUZZ.2020.2998174
dc.identifier.urihttps://hdl.handle.net/20.500.12713/1224
dc.identifier.volume28en_US
dc.identifier.wosWOS:000587703000010en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorTirkolaee, Erfan Babaee
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofIEEE Transactions on Fuzzy Systemsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectEnergy-Conservationen_US
dc.subjectFlow Shop Scheduling (FSS)en_US
dc.subjectFuzzy Mathematical Programmingen_US
dc.subjectOutsourcing Optionen_US
dc.subjectSelf-Adaptive Artificial Fish Swarm Algorithm (SAAFSA)en_US
dc.titleFuzzy mathematical programming and self-adaptive artificial fish swarm algorithm forjJust-in-time energy-aware flow shop scheduling problem with outsourcing optionen_US
dc.typeArticleen_US

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