Intelligent partition storage method of mold library based on artificial bee colony algorithm

Abstract

The invention discloses an intelligent partition storage method of a mold library based on an artificial bee colony algorithm, which includes the following steps: aiming at optimizing the storage of mold partitions, it is necessary to give a general description of the solutions to the three parts of energy consumption, efficiency and quality to be solved The problem of energy consumption is mainly reflected in: to ensure that the energy consumed by the goods in the process of being transported out of the warehouse is small, it is necessary to ensure that the stacker does less work; considering the efficiency factor, it is summarized as follows: only the position close to the entrance of the shelf roadway Only by allocating molds with high frequency of warehousing as much as possible can the overall operating time of the stacker be reduced and the efficiency of mold warehousing improved; the inconvenience caused by quality factors can be summarized as follows: it is necessary to optimize the location of the shelf so that the center of gravity of the shelf Decline to achieve the purpose of shelf stability.

Description

Technical field [0001] The present invention belongs to the field of intelligent manufacturing automation forging production lines, and specific relates to a mold library intelligent partition storage technology based on artificial hivega algorithm. Background technique [0002] At present, the mold has any problems that are not even superimposed, bringing troubles for mold search and transportation; mold transportation uses a folding or crane method, the transportation time, especially large, heavy mold transportation process must be slow, no from the source Time to reduce mold replacement; in terms of mold warehousing management, most companies still use electronic accounts to manage molds in the way of artificial paper records, which is not only efficient, but also increasing corporate manpower The management cost is also technically discontinted with advanced fast modulation systems. So how to manage the mold warehouse efficiently and high quality is a major problem that urge...

AI Technical Summary

Problems solved by technology

[0005] In view of the deficiencies of the above-mentioned prior art, as well as the problems of large storage area, low storage efficiency, and difficult management of forging production line molds, the present invention achieves the optimization goals of minimum energy consumption, minimum working time and best shelf stability, and proposes a The mold library intelligent partition storage technology based on the artificial bee colony algorithm has the advantages of simple algorithm, strong flexibility and robustness, etc.

[0007] Aiming at the problem of mold partition storage optimization, it is first necessary to give a general description of the solutions to the three parts of energy consumption, efficiency and quality;

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