Using a Generic Decision Support Tool for Solving Job-shop Scheduling Problem
DOI:
https://doi.org/10.61424/gjms.v2i1.373Keywords:
Meta-heuristic approaches, Batch size, Performance contextAbstract
This paper presents a broad and modular decision assistance tool designed to address a range of scheduling, assignment, and planning issues. Solving a real-world multi-period workshop scheduling challenge put forth by a case study firm that manufactures refrigerated food service equipment serves as an example of how to use this tool. The issue facing the case study firm is discussed, along with a listing algorithm that was created to incorporate the suggested solution for this particular issue. According to preliminary findings, the company's issue can be successfully resolved with the help of the suggested technology. The suggested tool has already been used to address two more issues in addition to the one this study describes. Therefore, it has been shown that the suggested tool may be readily modified to accommodate a variety of planning or scheduling issues, so circumventing the lack of adaptability typically linked to the more specialized approaches recommended in the literature.
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Copyright (c) 2025 Mustafa Talal Kadhim

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