根據Tompkin 和 White在1984年研究指出物料搬運成本約佔了20％~50％的總操作成本。所以在整個製造系統中，是否能有效的將物料迅速、適時、適當的搬運到下個目的地對於系統的績效有很大的影響，然而在眾多的搬運系統中又以無人搬運車(Automated Guided Vehicle ; AGV)最具生產力與彈性。
然而以往無人搬運車的文獻大都以單載量無人搬運車為研究基礎，發展出不同派車法則、車輛數評估、路徑規劃等，但是基於成本和效率的考量近年來也出現以多載量無人搬運的研究，由於搬運車的載量數提昇，所以在搬運車的派車問題上更為複雜，本研究針對多載量無人搬運車發展出一套派車法則，希望可以提昇多載量無人搬運車的搬運效率。
本研究所發展出來的法則主要分成三大部分：
1.載取運送選擇法則
由於多載量無人搬運車可以同時運載兩個或兩個以上載量的工件，所以無人搬運車必須依目前之狀況來決定要優先使用載取派車法則來載取工件或是運送派車法則來運送工件，在依不同的法則決定搬運車的下一個目的地。
2.載取派車法則
載取派車法則是決定目前無人搬運車應優先到那個有需要搬運需求的工作站來揀取工件，本研究利用一些有關單載量AGV文獻中的所發展出來的派車法則運用在多載量無人搬運車的車輛控制進而發展出不同派車法則。
3.負載揀取法則
負載揀取法則是指當AGV根據載取派車法則分派到某個工作站後，此AGV在該工作站要進行揀取工件的動作時，AGV會根據揀取法則在該工作站的出料暫存區中選擇出符合法則條件之工件，然後揀取此一工件。
本研究在封閉式系統中針對這三大部分的法則互相搭配，再利用模擬程式進行模擬，進而驗證出那些法則在本研究的環境假設下有效好的績效。

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