基于自适应布谷鸟算法的A公司生产调度优化研究  

Research on Production Scheduling Optimization of a Company Based on Adaptive Cuckoo Algorithm

作　　者：常洪亮 李慧清 胡广瑞 周晓宇 张辉 包瑞新[4] CHANG Hongliang;LI Huiqing;HU Guangrui;ZHOU Xiaoyu;ZHANG Hui;BAO Ruixin(Fushun Special Steel Co.,Ltd.,Fushun 113001,China;Petrochina Bohai Petroleum Equipment(Tianjin)Zhongcheng Machinery Manufacturing Co.,Ltd.,Tianjin 300280,China;Machinery Factory,Fushun Mining Group Co.,Ltd.,Fushun 113001,China;School of Mechanical Engineering,Liaoning Shihua University,Fushun 113005,China)

机构地区：[1]抚顺特殊钢股份有限公司,辽宁抚顺113001 [2]中国石油渤海石油装备(天津)中成机械制造有限公司,天津300280 [3]抚顺矿业集团有限责任公司机械制造厂,辽宁抚顺113001 [4]辽宁石油化工大学机械工程学院,辽宁抚顺113005

出　　处：《机械工程师》2024年第10期84-87,91,共5页Mechanical Engineer

基　　金：抚顺市“抚顺英才计划”项目“提升高温合金高强钢车削加工质量及效率”(FSYC202006001)。

摘　　要：针对传统制造车间加工效率和资源利用率低的问题,对车间调度进行研究,以最小化最大完工时间为优化目标,建立优化模型。针对布谷鸟算法在求解车间调度问题时存在搜索能力差、收敛速度慢的缺点,提出自适应布谷鸟算法对模型进行求解。通过与实际加工情况对比验证,结果显示采用优化模型后公司的生产效率和设备的平均利用率大幅提高,证明了该模型和算法的实用性与有效性。Aiming at the problems of low machining efficiency and resource utilization in traditional manufacturing workshops,this paper investigates workshop scheduling.The optimization model is established with the optimization goal of minimizing the maximum completion time.In view of the shortcomings of cuckoo algorithm in solving shop scheduling problems,such as poor search ability and slow convergence,the adaptive cuckoo algorithm is proposed to solve the model.Compared with the actual processing,the results show that the production efficiency and average equipment utilization rate of the company are greatly improved by the optimized model,which proves the practicability and effectiveness of the model and algorithm.

关 键 词：车间调度 布谷鸟算法 最大完工时间 

分 类 号：F426.471[经济管理—产业经济]