Abstract
In this paper, the optimization methods for storage allocation in synchronized zones are discussed. We used customer orders to dig correlation between goods, and proposed an index to measure the similarity between goods, then used a heuristics way to solve the p-median clustering problem. The goods appeared in the same orders frequently are most likely to be allocated in different zones, in order to balance the labor intensity of different zones, thus the total order picking time is reduced and the resource utilization of each zone is improved.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
