Multi-variety small-batch multi-target flexible job shop energy consumption optimization scheduling method

Abstract

The invention relates to a multi-variety small-batch multi-target flexible job shop energy consumption optimization scheduling method, in particular to a complex process multi-variety small-batch flexible job shop energy consumption optimization scheduling method based on an improved NSGA-II algorithm, and belongs to the technical field of machine manufacturing. The method comprises the following steps: S1, constructing a mathematical model with the lowest total energy consumption, the shortest completion time and the lowest machining cost as targets; S2, performing model solution based on a weighted process tree and an improved non-dominated sorting genetic hybrid algorithm; S3, evaluating the scheduling scheme by applying a Pareto optimal solution set and integrating a TOPSIS method; and S4, performing simulation verification on the practicability of the proposed energy consumption optimization model and the algorithm by applying Plant Simulation. The model and the algorithm provided by the invention can effectively reduce the energy consumption, shorten the completion time and improve the utilization rate of each resource in a workshop.

Description

technical field [0001] The invention relates to a multi-variety, small-batch and multi-objective flexible job shop energy consumption optimization scheduling method, in particular to a complex process multi-variety and small-batch flexibility based on an improved NSGA-II algorithm (a non-dominated sorting genetic algorithm with an elite strategy). The invention discloses an optimal scheduling method for energy consumption in a work shop, belonging to the technical field of machinery manufacturing. Background technique [0002] The production of multi-variety and small-batch complex components with multiple models is cross-parallel, complex production process, long working hours for a single process, and frequent tool changes, resulting in frequent switching of different workpieces and different processes, which is not only inefficient, but also makes the manufacturing workshop generate a lot of energy. Therefore, the problem of workshop energy consumption has become the core...

AI Technical Summary

Problems solved by technology

[0002] Multi-variety, small-batch and complex component production, multi-model cross-parallel, complex production process, long working hours for a single process, frequent tool changes, resulting in frequent switching of different workpieces and different processes, not only low efficiency, but also generates a lot of energy in the manufacturing workshop Therefore, the energy consumption of the workshop has become the core issue of the total energy consumption of the enterprise

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