Hybrid Flowshop Scheduling Problem at DrPaste

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dc.authorscopusid57220011268
dc.authorscopusid57220007754
dc.authorscopusid57220009781
dc.authorscopusid57220005504
dc.authorscopusid57220003580
dc.authorscopusid57212212831
dc.contributor.authorNural, E.
dc.contributor.authorSanisoğlu, C.
dc.contributor.authorErmiş, E.
dc.contributor.authorÜnver, S.
dc.contributor.authorGürçay, Z.
dc.contributor.authorDüzgit, Z.
dc.date.accessioned2024-07-18T20:16:43Z
dc.date.available2024-07-18T20:16:43Z
dc.date.issued2021
dc.descriptionInternational Symposium for Production Research, ISPR 2020 -- 24 September 2020 through 26 September 2020 -- -- 250869en_US
dc.description.abstractDrPaste is a manufacturer company of pastry materials and tools. In this study, we consider sugar paste production of this manufacturer. The company wants to minimize the makespan to deliver the sugar paste to its customers faster. There are 5 stages of sugar paste production: i) refining the sugar, ii) preparing the raw materials, iii) mixing by boilers, iv) packaging the sugar paste, v) controlling with a metal detector. In stage 3, there are 12 identical machines (boilers) for mixing. The boilers are not dedicated to a specific color. Each boiler has a capacity of 65 kg. In stage 4, there are 4 employees responsible for taking the sugar paste from the boilers and packing manually into different package sizes. We focus on the 3rd and 4th stages of sugar paste production, which can be handled as a two-stage hybrid flowshop environment. There are 17 colors of sugar paste. In stage 3, there is a clean-up process before mixing a different color. Cleaning the dark colors from a boiler such as brown is more difficult than light colors like pink. We have 4 types of color groups; i) white, ii) light colors, iii) midtone colors, iv) black. There are sequence-dependent setup times before switching to a different color group. In stage 4, employees need to separate the sugar paste into 0.5 kg, 1 kg, 2.5 kg, and 5 kg packages according to order specifications. Under these circumstances, the job (color) sequence on each machine/employee plays an important role in stages 3 and 4. Therefore, we want to find the best job sequence in mixing and packing stages. Since the problem is NP-hard, we employ Genetic Algorithm to solve the problem. We also develop a decision support system (user interface) to implement the proposed solution approach easily in the company. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.en_US
dc.identifier.doi10.1007/978-3-030-62784-3_59
dc.identifier.endpage707en_US
dc.identifier.isbn9783030627836
dc.identifier.issn2195-4356
dc.identifier.scopus2-s2.0-85096508159en_US
dc.identifier.scopusqualityQ4en_US
dc.identifier.startpage693en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-030-62784-3_59
dc.identifier.urihttps://hdl.handle.net/11411/6210
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.relation.ispartofLecture Notes in Mechanical Engineeringen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectGenetic Algorithmen_US
dc.subjectHybrid Flowshopen_US
dc.subjectMakespanen_US
dc.subjectMeta-Heuristicen_US
dc.subjectNp-Harden_US
dc.subjectSchedulingen_US
dc.subjectSequence-Dependent Setup Timeen_US
dc.subjectUser-İnterface Designen_US
dc.titleHybrid Flowshop Scheduling Problem at DrPaste
dc.typeConference Object

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