| 摘要: | 從現今工商業起飛，科技蓬勃發展的時代下，各種事情都講求效率，希望能愈快愈好，以產生更多利潤，從工業的角度來看，許多工廠從傳統的人力慢慢轉變成以機器去替代，再經過不斷的改革以及創新，現在以進入另一個階段，「大數據」的時代，此階段利用網路雲端、物聯網、電子商務系統等與機器做結合，使得工廠的效率提升到了另外一個檔次，不僅加快了運作速度也提高產品的品質，方能更迅速更穩定的提供現今社會的各種需求。
在物流業方面，每家物流公司都希望能利用最短的時間將產品送自顧客手中，以滿足顧客的需求。本研究以 Amazon 收購的 Kiva System 為研究目標，此系統最重要的改革就是從獲取訂單後，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，降低了揀貨人員到揀貨區所花費的揀貨時間，從上述可看出，這系統的觀念大大顛覆了以往人們對傳統物流的作法，也對往後整個物流業有了更大更深的影響。
本研究欲探討在類 Kiva 系統的「Pod 分配之揀貨站挑選」、「Pod 分配於揀貨站」與「品項分配至訂單」等問題，利用不同的績效指標搭配不同的實驗因子，去比較哪種搭配最合適，並找出哪種情況下，對於 Kiva 系統將有顯著的影響，以期能達到最佳的效能，減少不必要的浪費。
;In the era with prosperous business and booming technology, efficiency has been the most important thing for doing all kinds of matters, hoping to have more profits as soon as possible. From an industrial point of view, many factories using machine to replace traditional manpower. After continuous reform and innovation, another stage, "big data" era, is coming. This stage is combine with the Clouds, IoT( Internet of Things) , E-commerce systems and other machines, so that efficiency gains. Not only accelerate the operating speed but also improve the quality of the product to meet the demand of the needs of today′s society more quickly and stable.
From the logistics point of view, each logistics company hopes to use the shortest time to send products to customers. This study is based on Amazon′s acquisition of Kiva system, the most important reform of this system is to get orders from the order after the items sent to the picking staff. In this way, picking staff do not need to go to the picking area in person, reducing the picking time from picking staff to the picking area. As can be seen from the above, the concept of this system change the way of traditional logistics, but also greatly affected the whole logistics industry.
This study wants to investigate the problem” The selection of picking station of Pod assign”, “Pod assign in picking station” and “ Items assign to the order” in the Similar Kiva system. Using different performance indicators with different experimental factors to compare with what the most appropriate combination, and find out what circumstances will have a significant impact for the Kiva system, so as to achieve the best performance and reduce unnecessary waste. |
