Bektaş, Gamze Esma

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https://gcris.yasar.edu.tr/handle/123456789/12858
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Araş.Gör.
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01.01.09.03. Endüstri Mühendisliği Bölümü
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Former Staff
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0009-0007-7377-5826
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58162493700
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22nd International Symposium for Production Research ISPR 20221
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    A Genetic Algorithm for a Real-Life Scheduling Problem in the Valve Industry
    (Springer Science and Business Media Deutschland GmbH, 2023) Gamze Esma Bektaş; Ege Cömert; Ezgi Sena Yılmaz; Melis Tan Tacoglu; Önder Bulut; Burçin Kasap; Pınar Aydın; Mustafa İnceoğlu; Eda Badak; Hasan Şenol; Yılmaz, Ezgi Sena; Taçoğlu, Melis; Bulut, Önder; Bektaş, Gamze Esma; Cömert, Ege; Kasap, Burçin; Özcureci, Kaan; N.M. Durakbasa , M.G. Gençyılmaz
    In this paper a real-life flexible job shop scheduling problem (FJSSP) for valve production having sequence-dependent setup times and machine unavailability constraints is studied. The aim is to minimize the weighted sum of earliness and tardiness of the scheduled jobs. Since this problem is known to be in the NP-Hard class we develop a Genetic Algorithm (GA) enriched with Iterated Local Search (ILS) to obtain near-optimal solutions for both the company’s problem and also for much larger instances in a reasonable run time. For the real-life implementation we develop a user-friendly Decision Support System (DSS) consisting of databases for the inputs a GA algorithm embedded as Python code and a Gantt Chart representation of solutions as the output. © 2023 Elsevier B.V. All rights reserved.