Artificial bee colony algorithm-based intelligent partition storage method for moulds

Abstract

The invention discloses an artificial bee colony algorithm-based intelligent partition storage method for moulds. The method comprises the following step of: aiming at a partition storage optimizationproblem of moulds, firstly carrying out generalized description on solutions for three parts such as energy consumption, efficiency and quality, wherein the energy consumption problem is mainly embodied in that the consumed energy off goods is ensured to be relatively small in the ex-warehouse process and stackers need to act less; the efficiency factor is generalized as follows: only when the positions close to goods shelf throats are distributed to the moulds with high warehousing frequencies to the greatest extent, the overall operation time of the stackers can be shortened and the ex-warehouse and warehousing efficiencies of the moulds are improved; and through analyzing inconvenience caused by the quality factor, the goods allocations need to be optimized to ensure that the gravity center of the goods shelves are reduced, thereby achieving the aim of stabilizing the goods shelves.

Description

technical field [0001] The invention belongs to the field of intelligent manufacturing automatic forging production lines, and in particular relates to an intelligent partition storage technology of a mold library based on an artificial bee colony algorithm. Background technique [0002] At present, molds have the problem of being stacked anywhere or even stacked, which brings troubles to mold search and transportation; molds are transported by folding cars or cranes, and the transportation time is long, especially for large and heavy molds. The transportation process must be careful and slow. In terms of mold warehousing management, most companies still use electronic ledgers and manual paper records to manage molds. This management method is not only inefficient and has a high error rate, but also increases the manpower of the enterprise. The management cost is also out of touch with the advanced quick mold change system. Therefore, how to manage the mold warehouse effici...

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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