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    請使用永久網址來引用或連結此文件: https://ir.lib.ncu.edu.tw/handle/987654321/99868


    題名: A graph-pair representation and MIP-model-based heuristic for the unequal-area facility layout problem
    作者: 王啟泰;Bozer, Yavuz A.;Wang, Chi-Tai
    貢獻者: 管理學院工業管理研究所
    關鍵詞: Applied sciences;Exact sciences and technology;Facilities planning;Facilities planning and design;Graph-pair representation;Heuristic;Heuristics;Integer programming;Inventory control, production control. Distribution;Linear programming;Mathematical programming;Operational research and scientific management;Operational research. Management science;Optimization algorithms;Simulated annealing;Studies
    日期: 2012-04-16
    上傳時間: 2026-04-21 13:38:54 (UTC+8)
    出版者: Elsevier;Amsterdam: Elsevier B.V
    摘要: 摘要: ► The proposed graph-pair representation technique for the unequal-area facility layout problem. ► Allows easy and appropriate settings of the departments’ relative locations. ► Allows easy and appropriate modifications of the departments’ relative locations. ► Does not impose any structural constraints (e.g. bands, cuts) on the solution space. ► May be used with a variety of metaheuristics. Owing to its theoretical as well as practical significance, the facility layout problem with unequal-area departments has been studied for several decades, with a wide range of heuristic and a few exact solution procedures developed by numerous researchers. In one of the exact procedures, the facility layout problem is formulated as a mixed-integer programming (MIP) model in which binary (0/1) variables are used to prevent departments from overlapping with one another. Obtaining an optimal solution to the MIP model is difficult, and currently only problems with a limited number of departments can be solved to optimality. Motivated by this situation, we developed a heuristic procedure which uses a “graph pair” to determine and manipulate the relative location of the departments in the layout. The graph-pair representation technique essentially eliminates the binary variables in the MIP model, which allows the heuristic to solve a large number of linear programming models to construct and improve the layout in a comparatively short period of time. The search procedure to improve the layout is driven by a simulated annealing algorithm. The effectiveness of the proposed graph-pair heuristic is demonstrated by comparing the results with those reported in recent papers. Possible extensions to the graph-pair representation technique are discussed at the end of the paper.
    出版者: Amsterdam: Elsevier B.V
    出版日期: 2012-04-16
    出處: European journal of operational research, 2012-04, Vol.218 (2), p.382-391
    版權: 2011 Elsevier B.V.
    版權: 2015 INIST-CNRS
    版權: Copyright Elsevier Sequoia S.A. Apr 16, 2012
    識別號: ISSN: 0377-2217
    識別號: EISSN: 1872-6860
    識別號: DOI: 10.1016/j.ejor.2011.10.052
    識別號: CODEN: EJORDT
    顯示於類別:[工業管理研究所 ] 期刊論文

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