近年來由於科技日新月異，工廠的生產趨向於快速生產，在整個生產過程中，研究指出製造成本約有13%～30%是來自於物料搬運成本，因此，選擇一個適當的物料搬運系統，對於成本的降低是具有顯著的影響。在許多的物料搬運系統中，無人搬運車是一具有彈性與生產力的物料搬運系統，由於無人搬運車的彈性途程特性，使得在工業界的應用與學術上的研究非常地廣泛。其相關的研究範圍包括：軌道設計、指派問題、車輛需求評估、與車輛防撞、車輛承載問題以及在不同的環境下車輛的績效評估等問題。而本研究是在一個多載量無人搬運車、JIT的系統環境與具有彈性製程與彈性途程之加工製程的環境下，發展一智慧型分散式的雙方模糊投標控制系統，即時處理無人搬運車的指派問題。
本研究主要分為四大架構，首先，定義所需求環境為及時與多重途程（alternative route）的環境，此部分本研究在工件的加工途程計畫採用網路式製程計畫，也就是發展出一個網路圖可以表現出多重途程，其可以充份表現工件在加工途程上的彈性。第二部分為截止時間決定模組，其又包含了三個部分，分別為(1)收集可參與投標的工件與可拜訪的機器，(2)決定各工件之最晚到達各工作站的時間與(3)決定標值收集截止時間。主要是運用吳豐全（2001）所提出之修正式倒傳法概念，先收集合適的工件集合以及機器集合，並計算每個工件之最晚到達各工作站的時間，再將這些資訊傳送至標值-搓合模組。第三部份為標值-搓合模組，其運用模糊理論執行智慧型分散式控制策略，以雙方投標與搓和過程來作分散式控制，對於可參予投標的無人搬運車與工件進行雙方面評估，經由模糊法則決定出合理的標值，再將二部分的標值傳回到系統，進行搓和過程，搓和之後即可決定最佳的無人搬運車與工件的配適。第四部分為根據所定義之系統環境與發展出的控制方法建立模擬實驗程式，對工件加工提早時間（件數）、工件加工延遲時間（件數）、流程時間、產出量、在製品之數量與工件平均待在AGV上的時間八個績效加以評估。

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