Optimized scheduling method for production and assembly process of automobile air conditioner air outlet

Abstract

The invention relates to an optimized scheduling method for a production and assembly process of an automobile air conditioner air outlet, and belongs to the technical field of intelligent optimized scheduling in production workshops. An optimization objective and a scheduling model in the production and assembly process of the automobile air conditioner air outlet are determined, and the optimized scheduling method for an adaptive hybrid distribution estimation algorithm is used for optimizing the optimization objective, wherein the scheduling model is built according to the processing time of parts of the automobile air conditioner air outlet on each machine and the final assembly completion time, and the minimum average completion time is used as the optimization objective. The optimized scheduling method has the advantages that the expression of the production and assembly process of the automobile air conditioner air outlet is clear and accurate, and high-quality regions found through global searching are subjected to intensive local searching, so that better balance is achieved between the global searching and the local searching.

Description

technical field [0001] The invention relates to an optimal scheduling method for the production assembly process of an air outlet of an automobile air conditioner, and belongs to the technical field of intelligent optimal scheduling of a production workshop. Background technique [0002] At present, domestic auto interior parts production companies have entered the stage of low-profit development. How to produce higher-quality, lower-cost products is related to whether the company can continue to survive. Faced with such a crucial issue, all companies are considering various aspects. There are several countermeasures, and one of the good ways is to try to optimize the production assembly process and shorten the working hours to reduce costs and improve the price competitiveness of products. [0003] In modern manufacturing enterprises, the assembly workload accounts for 20%-70% of the entire product workload, with an average of 45%. Especially, the assembly time of automobil...

AI Technical Summary

Problems solved by technology

[0006] Since the production and assembly line scheduling problem of the air outlet of the automobile air conditioner is an NP-hard problem, the traditional mathematical programming method cannot solve the problem. Therefore, the present invention designs an improved Adaptive Estimation of Distribution Algorithm (Improved Adaptive Estimation of Distribution Algorithm, The optimal scheduling method of IAEDA) can obtain an excellent solution to the scheduling problem of the production and assembly process of the air outlet of the automobile air conditioner in a short period of time.

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