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- W3094392677 abstract "The Hybrid Flow Shop scheduling (HFSS) is a complex problem observed in many real-life problems and usually involves a work environment with multiple parallel machines at each stage. This study deals with a scheduling problem that integrates transportation and packaging operations. The problem originates from a real-life problem at a leading global rim manufacturing company headquartered in Turkey. We propose a novel solution method, which is able to create a schedule for all stages, while minimizing the total weighted earliness of orders. The studied problem differs from classical HFSS problem in a number of ways, therefore, an improved mathematical model to accommodate current problem and system constraints is developed. The new two-stage as Mixed-Integer Programming model (MIP) is constructed, verified and validated. As the problem is NP-hard, a novel rule-based heuristic algorithm for two stages is developed. The performances of the heuristic algorithm and the mathematical model are compared using real-life data from the company. Based on the results from the experimentation, proposed heuristic algorithm performs very well in a significantly shorter computational time. Moreover, a user-friendly decision support system (DSS) is created and both solution methods are embedded in this DSS for the implementation at the company." @default.
- W3094392677 created "2020-10-29" @default.
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- W3094392677 date "2020-10-26" @default.
- W3094392677 modified "2023-09-26" @default.
- W3094392677 title "Integrated Transportation and Packaging Problem Modeling and Application" @default.
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- W3094392677 doi "https://doi.org/10.1007/978-3-030-62784-3_75" @default.
- W3094392677 hasPublicationYear "2020" @default.
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