Warehouse delivery management method, server and storage medium

Abstract

The invention discloses a warehouse delivery management method, and the method comprises the steps: generating a wave warehouse delivery list according to the details of an order needing to be prepared and a selected warehouse delivery strategy mode; generating a plurality of inventory picking tasks through a wave matching generation algorithm according to the wave warehouse delivery list; generating a corresponding first warehouse delivery time energy consumption graph for each inventory picking task, wherein the first warehouse delivery time energy consumption graph comprises predicted warehouse delivery time energy consumption of a plurality of selectable logistics devices in a plurality of selectable paths; selecting logistics equipment of each task from the warehouse delivery time energy consumption graph and sending an inventory sorting task, generating a second warehouse delivery time energy consumption graph according to the working state information, obtained in real time, ofthe logistics equipment, conducting energy consumption measurement and monitoring on the warehouse delivery process, limited resources of a warehouse are utilized, warehouse delivery reasonable inventory is achieved, the warehouse delivery frequency of containers is reduced, and the effects of improving efficiency and reducing energy consumption are achieved.

Description

technical field [0001] The invention relates to the technical field of intelligent logistics, in particular to a storage and delivery management method and related servers. Background technique [0002] Due to the increasing demand for automation and intelligence, and the intensification of national e-commerce warehousing integration, the requirements for modern warehousing and logistics are getting higher and higher. Now the number of warehouse spaces ranges from a few thousand to tens of thousands, and the products stored are all kinds of strange things. There are many, and the placement is uncertain. There are many detailed items out of the warehouse at the same time, and the resources available to the warehouse are also very limited. Outbound stocking in the prior art can only be judged manually. Due to the lack of control over the resources of the entire warehouse, it is difficult to choose the best outbound products. Through this traditional manual selection or simple ...

AI Technical Summary

Problems solved by technology

The existing warehousing center can only manually judge the products to be stocked out of the warehouse, and then monitor the goods in the process of stocking up in real time. If the existing problems are dealt with and optimized in a timely manner, the equipment in each process cannot always maintain the best working condition, that is, the equipment in each process cannot always maintain the least energy consumption, the least pollution emission and the best productivity, resulting in the storage and logistics center. Low work efficiency and high production cost

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