The Research of Order Picking Optimization Based on Jointown Pharmaceutical Logistics Center

Abstract:

With the rapid development of modern logistics technology and automation information technology, the automation stereoscopic warehouse has been used more and more widely. As an important part of logistics system, it also plays an important role in the field of pharmaceutical logistics. In order to more effectively manage the automation stereoscopic warehouse, and improve the picking efficiency, reduce the cost of goods handling and storage, order picking optimization is required to reduce logistics costs and improve profitability. This paper adopts ant colony algorithm to build model and solve the problems of order picking optimization, and takes the Jointown pharmaceutical logistics center as an example to further verify the analysis and get more ideal optimization path simulation image.

• Periodical: Applied Mechanics and Materials (Volumes 701-702)
• Pages: 94-97
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.701-702.94
• Online since: December 2014
• Authors: Shou Wen Ji, Xiao Ting Li, Yong Wang
• Keywords: Ant Colony Multi-Objective Genetic Algorithm, Automation Stereoscopic Warehouse, Order Picking Optimization, Pharmaceutical Logistics Center

References

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