A Parallel Machine Scheduling Problem for a Plastic Injection Company

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Date

2021

Authors

Aytaç Ali Aslaner
Akdeniz Coşkun
Nur İlayda Tülemiş
Ece Özboyacı
Nil Ergün
Berk Bulut
Görkem Gülbent
Mert Paldrak
Efthimia Staiou

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Volume Title

Publisher

Springer Science and Business Media Deutschland GmbH

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Green Open Access

No

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Abstract

In this study a production planning and scheduling problem is carried out in a company operating in the plastic injection sector in Turkey. The scheduling problem is classified as unrelated parallel machine scheduling problem with sequence dependent setup times including job-machine eligibility common source and precedence constraints. The proposed solution methodology is based on weekly planning with order grouping and makespan minimization. As a result a mixed integer programming model was formulated and optimal results are obtained for a sample data set with real data received. A user-friendly Decision Support System (DSS) was created to help the company with the weekly production planning and scheduling process applying a heuristic approach solution. © 2020 Elsevier B.V. All rights reserved.

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Keywords

Best-fit Algorithm, Common Molds, Heuristic Approach, Machine Eligibility, Parallel Machine Scheduling, Precedence Relations, Sequence-dependent Setup Times, Precedence Relations, Common Molds, Parallel Machine Scheduling, Best-Fit Algorithm, Sequence-Dependent Setup Times, Heuristic Approach, Machine Eligibility

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OpenCitations Citation Count
2

Source

International Symposium for Production Research ISPR 2020

Volume

Issue

Start Page

790

End Page

803
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Scopus : 2

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Mendeley Readers : 6

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2

checked on Apr 09, 2026

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