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    題名: 彈性製造系統之具雙向路徑軌道的梯形機器佈置
    作者: 許云瑄;Hsu, Yun Hsuan
    貢獻者: 工業管理研究所
    關鍵詞: 梯形機器佈置;設施規劃;相似係數法;分群方法;流線分析法;禁忌搜尋法;ladder layout;facility layout;similarity coefficient method;flow line analysis
    日期: 2018-07-25
    上傳時間: 2018-08-31 11:28:22 (UTC+8)
    出版者: 國立中央大學
    摘要: 設施規劃是將空間中所存在的各項設施進行佈置,以期達到有效之生產佈置方式,與工廠產能之間具有高度關聯性。在眾多設施規劃相關文獻中,大部分針對線性佈置與封閉迴圈佈置進行研究,在梯形佈置上的研究相對少數,但梯形佈置之變化與彈性皆比線性佈置與封閉迴圈佈置為佳,且較開放式佈置形式易於規劃,因此本研究希望針對梯式佈置建立一套系統化之設計方式,以期有效利用梯式佈置形式之優勢,達到更有效率之設施佈置規劃。
    本研究繼承李佳諭(2014)的「具雙向路徑軌道之梯形機器佈置問題探討」之研究,主要目的為改善李佳諭(2014)之研究,將所需配置的機器依照梯形設施佈置之形式進行排列,提出一套在彈性製造系統環境下能夠有效設計出具有雙向軌道梯式設施佈置的設計方法,以達到機器間總流量距離最小化之目標。
    本研究可分為三個流程方法:(1)機器分群:根據三種相似係數法(Similarity Coefficient Method)搭配三種分群演算法將機器分群成各階層;(2)階層排列:依循階層間的流量關係,利用流線分析法(FLA;flow line analysis)決定階層擺放位置;(3)數學規劃模型:以數學規劃模型找出階層內機器的最佳擺放位置,並且符合環境條件之限制。根據此三個流程分法,發展出有無使用禁忌搜尋法(TS;tabu search)改善之兩種研究方法,針對上述流程方法進行實驗,探討不同環境下使用不同搭配方法以及有無使用TS改善所得到的績效表現,達到機器間總流量最小化之目標。
    ;In the past, most of the research in facility layout was focus on the closed-loop layout and linear layout. There was few study focus on “Ladder layout,” even it is also one of the popular layout types in FMS (Flexible Manufacturing System). Therefore, a systematical procedure of building up the ladder layout is proposed in this study.
    This study inherits the research of "Discussion on Ladder Layout with Bi-directional Flow Path " by Li (2014). The main purpose is to improve the study of Li (2014) and arrange the machines in flexible manufacturing system. To design a systematical procedure to minimize the total flow distance between machines.
    This study can be divided into three process methods. In the first stage, group machines into groups according to three similarity coefficient methods and three grouping algorithms. In the second stage, uses the technique of the flow line analysis, FLA, to arrange the layer of machine groups. In the last stage, a mathematic model is proposed to adjust the final I/O point location of every machine in its ladder level. In the end of the first two stages, the tabu search, TS, is introduced to improve the initial solution of each stage. There are three similarity coefficients and three clustering algorithms in the first stage and three heuristics in the second stage. All the combinations of the methods are experimented to show its performance and compared with whether to use TS to improve the performance obtained or not and minimizing the total flow distance between machines.
    顯示於類別:[工業管理研究所 ] 博碩士論文

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