| 摘要: | Kiva 系統採用了分佈式智能的概念，通過使用獨特的物料處理設備和軟件
來執行訂單，最終形成了一個完整的貨到人的倉儲自動化系統，既節省了大量人
力，在提高速度、準確率和靈活性的同時，也提升了作業效率；Kiva 系統提供一
種新型的自動化訂單履行方案，通過使用數以百計的移動機器人、可移動的貨架、
工作站和複雜的控制軟件，進行揀選、包裝和輸送作業。
本研究針對使用Kiva 系統作業環境，Kiva 系統中當訂單抵達揀貨工作站後，
即會開始分派訂單放入揀貨工作站中的儲存架空格內，此時，理貨作業也會同時
進行。本研究在此處的流程分為兩階段，第一階段處理Pod 分配之揀貨工作站挑
選問題與要將Pod 指派到哪個揀貨工作站的問題，第二階段則是處理Pod 分派
問題，並分別提出Pod 分配之揀貨工作站挑選法則、Pod 分派法則、Pod 要求條
件情況，並透過模擬實驗，期望在此環境中找出最佳的法則組合，能提升績效表
現，並針對總系統執行時間、總Pod 旅行距離這兩種績效指標下，找出何種組合
對作業效率有較顯著的提升。;Kiva system uses the concept of distributed intelligence to execute orders through
a unique of material handling equipment and software, forming a complete stock-topicker
system, saving a lot of manpower, improve the speed, accuracy and flexibility,
enhance operating efficiency; Kiva system provides a novel automated order fulfillment
solutions.Through the use of hundreds of mobile robots, Pod, workstations, and
Automatic software to pick, package and delivery.
In this study, focusing on the Kiva system, when the order arrived and picking
workstations will begin dispatch orders placed in the workstation,at the same time,
system will begin.
In this study, We propose three decision problems“the selection rules of
workstation”, “the selection rules of which Pod to workstation”, We analyze the
performance index such as total system time（TST）, total Pod travel distance（TPD）
in our environment. Finally, the best combinations of rules under different performance
index are discovered.
It’s observed that the best combination under performance index, TST and TPD,
would be PSIOAO× HNSOP2. And the best combination under performance index
of TPD would be PSIOAO× HNSOP2, which can make the best enhancement in the
system. |
