| Summary: | 碩士 === 南華大學 === 企業管理系管理科學碩博士班 === 96 === Facing rapid developing of economy at newly risen market in recent years, what enterprises encountered will be a competition of Globalization. This paper proposes an Integer Nonlinear Programming (INLP) mathematical model to investigate the practical situation of production scheduling planning with parallel-machine layout focusing on multiple orders, diversified delivery deadlines, multiple types of products as well as the considerations of the manufacturing cost, the machine setup cost, the holding cost of products, and the shortage cost to achieve its total cost optimization.
The proposed mathematical model is constructed by Lingo syntax, and the ABSSA (Accumulation & Backtrack staged scheduling approach) is then developed. Besides, the proposed ABSSA is also constructed by Lingo syntax in order to connect the main mathematical model, and the built-in global solver of Lingo packaged software is then selected as the tool for achieving the global optimum solution. Furthermore, a numerical example is followed to describe the solving process and exemplified analyses. In summary, this study owns a repeated characteristic because its solving procedures (including Lingo software and proposed algorithms) are executed by computer programs. Actually, this study can be regarded as a valuable decision support tool because it can easily duplicate to solve other cases by changing its input parameters only.
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