| dc.description.abstract | In recent years, the fast development of Internet technology has promoted the development of E-commerce. Most consumers purchase the required goods via online. Therefore, in order to collect a large amount of data to understand consumer preferences and satisfied with consumers’ a small and diverse demand, Many enterprises have been introduced Industry 4.0 and Internet of Things technologies. However, in order to meet customers′ demand in the shortest possible time, many companies have integrated the complex hardware and software in the logistics center and gradually developed towards automation and intelligence.
In March 2012, Amazon Logistics Center acquired Kiva System, which mainly produces automated robots, as the first company to use AGVs in logistics centers. In this system, Kiva robots can pick-up and delivery Pods to the picking stations, From the tradition way picker-to-good to good-to-picker , it’s not only improves the flexibility of the logistics center, but also enables the pickers to complete orders faster and more accurately.
In this paper, we continue Huang (2017) research. simulate the problem of Kiva Robot allocation, Pod storage allocation combine and replenishment condition three problems in an environment resembles Kiva System. Propose new single-attribute rules and single-attribute combination rules. The simulation software is used analyze the results and find out the performance of rules proposed by this study in different factors. We expect that the flexibility of the Kiva system and the advantage of receiving instant message will effectively reduce the path of the Kiva robot, improving picker’s efficiency and achieve the best performance for the entire system. | en_US |