Machining workshop intelligent scheduling optimization method and system based on genetic algorithm

Abstract

The invention discloses a machining workshop intelligent scheduling optimization method and system based on a genetic algorithm, and the method comprises the following steps: building a flexible job workshop scheduling problem mathematic model for a workshop scheduling task; solving the mathematical model by using an improved genetic algorithm, including constructing an initial condition matrix, constructing an initial population, performing crossover variation on a population sequence, solving fitness values of population individuals, selecting a next-generation gene sequence and the like, and obtaining and outputting an optimal machining workshop intelligent scheduling optimization scheme; and judging whether the workshop scheduling task is updated, and if so, returning to execute the first step. The operation process is simple, the machining workshop intelligent production scheduling optimization scheme with good performance can be effectively obtained, the production efficiency ofthe machining workshop is improved, the production cost is reduced, and the comprehensive competitiveness of a manufacturing enterprise is improved.

Description

technical field [0001] The invention belongs to the field of production scheduling in mechanical processing workshops, and in particular relates to a genetic algorithm-based intelligent production scheduling optimization method and system for mechanical processing workshops. Background technique [0002] Facing the increasingly intensified market competition and increasingly personalized customer needs, how to improve the production efficiency of the enterprise while ensuring the normal operation of the machining workshop to ensure the market competitiveness of the enterprise has become a challenge for manufacturing enterprises. Biggest problem. As the command center of the production and operation of the manufacturing enterprise, the production scheduling of the machining workshop plays a decisive role in the efficient operation of the production of the enterprise. Nowadays, the production scheduling of mechanical processing workshops is still based on the workshop personn...

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Problems solved by technology

[0005] The purpose of the present invention is to address the above-mentioned deficiencies in the prior art. Specifically, the formulation of production plans for machining workshops is based on manual experience and lacks certain scientific guidance, which leads to unreasonable production scheduling techniques in machining workshops. Low production efficiency and other issues, provide a genetic algorithm-based intelligent scheduling optimization method and system for machining workshops

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