| dc.description.abstract |
E-commerce accompanied by the Industrial 4.0 and Internet Of Things(IOT), many traditional industries were forced to transition in order to react to the labor shortage, poor operating environment and the products belong to short cycle and “Small-Volume, Multiple-Types”. Some of these logistics centers enhance their competitiveness, turning their factories into automated and intelligent plants to meet customer needs and respond to the changes of market rapidly.
Amazon.com, the largest retail site in the United States, sees the future development of business opportunities, imported Kiva System in 2012 and set up the Amazon’s eighth-generation logistics center. The core technique of Industrial 4.0 by combining the IOT, Big Data, Cloud and man-machine coordination to improve internal automated storage process of the logistics center.
One of the breakthroughs of the Amazon’s eighth-generation logistics center was Kiva Robots which were tasked with delivering Pod to work stations. At that time, pickers just only pick up the correct items and quantities by order demand. As a result, how to assign the items to reduce the picking processing time is our major issues.
This study simulates the problem of Pod storage location assignment in the operating environment similar to Kiva system, and analyzes the performance of different assignment rules through simulation software, hoping to find the best storage assignment method to improve internal operation efficiency and enhance the overall system performance. | en_US |