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，所以針對不同種類的製造型態來選擇出適當的搬運系統對於成本的降低是很重要的一件事，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。
然而根據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，進而發展出不同派車法則、車輛數評估、路徑規劃、防撞問題等，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，本研究就是針對多載量無人搬運車發展出一套派運法則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四大部分：
1.運送派車法則
運送派車法則是在無人搬運車在有承載工件狀況下，決定出目前無人搬運車上所載的工件中，那一個工件須優先送至下一工作站。
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.運送或載取作業選擇法則
當無人搬運車完成裝卸載作業時，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。
4.負載揀取法則
負載揀取法則是指當AGV根據運送派車法則或是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。
本研究針對這四個法則與兩種不同載量的AGV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。

There is a very important issue that is the management of material movement between workstations in any manufacturing facility. One of the main material handing systems is Automated Guided Vehicle Systems (AGVS). Automated Guided Vehicle Systems (AGVS) is a material-handling system in which driverless, battery-powered vehicles are moved by means of an electronic or optical signal from a path which has been installed in the floor.
To satisfy a high throughput rate in any manufacturing facility, increasing carrying capacity of an AGV is one of the solutions. This thesis focuses on the dispatching and picking up rules of multiple-load AGVs in the manufacturing system.
In this thesis, simulation was used to construct the multiple-load AGVs system and then we could use statistical software to analyze the simulated outcomes and various performances. Finally, we can test and verify the methodology in this thesis.

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