基于改进遗传算法的装配式渠道生产调度优化

刘佳敏 ,  马玉薇 ,  李刚 ,  姜伟

科学技术与工程 ›› 2024, Vol. 24 ›› Issue (14) :5979-5987

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科学技术与工程 ›› 2024, Vol. 24 ›› Issue (14) :5979-5987 DOI: 10.12404/j.issn.1671-1815.2303489
建筑科学

基于改进遗传算法的装配式渠道生产调度优化

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Optimization of Assembly Channel Production Scheduling Based on Improved Genetic Algorithm

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摘要

为有效提高装配式渠道生产效率,加快模具周转,降低生产成本,结合装配式渠道生产线养护室数量有限的特点,建立以最小生产周期为目标的装配式渠道生产调度优化模型,设计了求解该模型的改进遗传算法。以新疆石河子金土地水泥制品厂渠道生产线为例,验证生产模型的可行性,通过对比传统顺序生产调度与改进遗传算法得到的优化生产调度,验证改进遗传算法的稳定性与有效性。结果表明,基于改进遗传算法优化装配式渠道的生产调度,可有效降低装配式渠道的生产周期,提高生产效率,达到降低生产成本,提高企业核心竞争力的目的。

Abstract

In order to effectively improve the production efficiency of assembled channels, accelerate the mold turnover and reduce the production costs. Based on the limited number of steam curing rooms in the assembled channel production line, an optimized production scheduling model of assembled channels with minimum production cycle as the goal was established, and an improved genetic algorithm was designed to solve the model. Taking the channel production line of Xinjiang Shihezi Jintudi Cement Products Factory as an example, the feasibility of the production model was verified, and the stability and effectiveness of the improved genetic algorithm are verified by comparing the traditional sequential production scheduling with the optimized production scheduling with the improved genetic algorithm. The results show that the optimized production scheduling of assembled channels based on the improved genetic algorithm can effectively reduce the production cycle of assembled channels, improve the production efficiency, to achieve the purpose of reducing the production costs and improving the core competitiveness of the enterprise.

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刘佳敏, 马玉薇, 李刚, 姜伟. 基于改进遗传算法的装配式渠道生产调度优化[J]. 科学技术与工程, 2024, 24(14): 5979-5987 DOI:10.12404/j.issn.1671-1815.2303489
LIU Jia-min, MA Yu-wei, LI Gang, JIANG Wei. Optimization of Assembly Channel Production Scheduling Based on Improved Genetic Algorithm[J]. Science Technology and Engineering, 2024, 24(14): 5979-5987 DOI:10.12404/j.issn.1671-1815.2303489

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兵团财政科技计划研究项目(2022DB027)

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