Energy-based scheduling optimization to minimize the total energy consumption and the total tardiness in a single machine manufacturing system with the sequence-dependent setup times

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dc.authorid0000-0002-6385-7293en_US
dc.authorid0000-0002-0233-064Xen_US
dc.authorid0000-0001-7392-4771en_US
dc.contributor.authorTarakçı, Elif
dc.contributor.authorZaim, Abdül Halim
dc.contributor.authorÖztaş, Oğuzhan
dc.date.accessioned2023-03-13T08:38:13Z
dc.date.available2023-03-13T08:38:13Z
dc.date.issued2022en_US
dc.departmentFakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description.abstractNowadays, reducing energy consumption is an important target for energy-intensive manufacturing systems due to many reasons such as global warming, legal obligations and lowering company expenses. Therefore, this paper focuses on energy-based scheduling problem in manufacturing systems. A mixed-integer nonlinear programming (MINLP) model is developed for a single machine scheduling problem with the sequence-dependent setup times and different arrival times in order to minimize the total energy consumption and the total tardiness. An energy-based genetic optimization (EGOP) method is proposed by adopting the genetic algorithm (GA) approach, which is a heuristic method to solve the problem. The objective values and the computation times are compared with the analytical solution and the General Algebraic Modeling System (GAMS) solution so as to evaluate the performance of the proposed method. As a result, it is seen that the proposed EGOP method provides effective results.en_US
dc.identifier.doi10.2339/politeknik.1075096en_US
dc.identifier.trdizinid1227716en_US
dc.identifier.urihttps://hdl.handle.net/11467/6416
dc.identifier.urihttps://doi.org/10.2339/politeknik.1075096
dc.identifier.wosWOS:000840242500001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.publisherGazi Üniversitesien_US
dc.relation.ispartofJournal of Polytechnic-Politeknik Dergisien_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectEnergy consumption, genetic algorithm, job scheduling, sequence-dependent setup timeen_US
dc.titleEnergy-based scheduling optimization to minimize the total energy consumption and the total tardiness in a single machine manufacturing system with the sequence-dependent setup timesen_US
dc.typeArticleen_US

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