國家經濟受到全球化的影響，造成社會需求及消費習慣的改變，消費者對於 產品需求逐漸轉變為「少量、多樣、多頻率」的商品以滿足零售商與消費者，如 此轉變使得物流中心逐漸興起。多樣少量的需求時代來臨，高倍速的環境改變速 度、高度普及化的電腦設備應用及電子商務的看漲，都顯示出企業必須不斷的加 快本身企業活動運作速度與效率，方能趕上時代、消費者與競爭者的腳步。 2012 年 3 月，Amazon 收購 Kiva System，其最重要的創新就是為客戶創 造物品清單，並將訂單中的物品送往揀貨人員，如此，揀貨人員就不必親自前往 揀貨區。此外，Kiva System 還可以根據訂單較多的物品，自行組織存貨清單， 使物品擺放於更接近揀貨工作站之區域，在諸多細節上的規劃對於提升系統效率 是不容小覷的，因此如何合理的規劃才能有效達成降低作業時間與成本並提升系 統績效，對於Kiva物流中心之營運有決定性的影響。 本研究欲探討之問題為 Kiva 機器人分配法則及Pod 暫存區位置指派法則 對於系統績效的影響，並搭配不同補貨比例條件，應用模擬軟體實驗之結果來分 析本研究所提出的多種法則在不同因子下的表現，觀察其能否有效降低總系統執 行時間以及總揀貨旅行距離，以期能達到最佳的效能。;National economies affected by globalization, resulting in the changing form consumer habits and social needs. Consumer demand gradually transformed into “a small, diverse and multi-frequency” of product to satisfy retailers and consumers, in such case, many distribution center emerges progressively. In the era of various and small amount products demand, rapid environmental changing along with high volume popularity computer equipment applications and E-commerce shown that companies must continue to accelerate their business activities, in order to catch up on times, consumers and competitors’ pace. March 2012, Amazon acquired Kiva Systems, it is expected that the robots would significantly improve Amazon’s packing and shipping efficiency. Besides, Kiva robots were tasked with picking up shelves in Amazon′s giant warehouses and delivering them to warehouse employees at various stations. Therefore, reducing operation time and costs to enhance systems performance will appreciate company accomplishments. In this paper, we give a critical survey of existing works and discuss open problems in this field. Through investigating Kiva dispatching rules and Pod storage position dispatching rules in contrasting replenishment ratio, simulation experiments are conducted to evaluate two performance measures ─ Total System Time（TST）, and Total Travel Distance of Kiva（TTD）to achieve the best efficiency.
