| dc.description.abstract |
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. | en_US |