Collaborative Optimization of Storage Location Assignment and Path Planning in Robotic Mobile Fulfillment Systems
发布时间：2021-05-20
点击次数：
DOI码：10.3390/su13105644
所属单位：中南大学交通运输工程学院
教研室：交通运输工程系
发表刊物：sustainability
刊物所在地：Switzerland
关键字：automatic warehousing system; green technology; robotic mobile fulfillment system (RMFS); storage location assignment; path planning; A-star algorithm
摘要：The robotic mobile fulfillment system (RMFS) is a new automatic warehousing system, a type of green technology, and an emerging trend in the logistics industry. In this study, we take an RMFS as the research object and combine the connected issues of storage location assignment and path planning into one optimization problem from the perspective of collaborative optimization. A sustainable mathematical model for the collaborative optimization of storage location assignment and path planning (COSLAPP) is established, which considers the relationship between the location assignment of goods and rack storage and path planning in an RMFS. On this basis, we propose a location assignment strategy for goods clustering and rack turnover, which utilizes reservation tables, sets AGV operation rules to resolve AGV running conflicts, and improves the A-star(A*) algorithm based on the node load to find the shortest path by which the AGV handling the racks can complete the order picking. Ultimately, simulation studies were performed to ascertain the effectiveness of COSLAPP in the RMFS; the results show that the new approach can significantly improve order picking efficiency, reduce energy consumption, and lessen the operating costs of the warehouse of a distribution center.
合写作者：Yue Liang, Shan Ouyang
第一作者：Jianming Cai
论文类型：期刊论文
通讯作者：Xiaokang Li
论文编号：5644
学科门类：工学
一级学科：交通运输工程
文献类型：J
卷号：13
期号：10
页面范围：https://doi.org/10.3390/su13105644
是否译文：否
发表时间：2021-05-18
收录刊物：SCI