摘要
针对机电制造企业普遍存在生产计划不精确及生产排程更改难问题,对这类企业的生产模式进行了研究,提出了一种基于瓶颈理论的高级计划与排程(APS)智能系统。首先构建了能够帮助企业进行资源整合且具有系统集成功能的APS智能系统框架模型;其次利用APS算法对模型核心部分主生产计划排程、各车间作业计划排程进行最优化求解分析,且这种APS算法能够快速应对排程突变情况的发生;最后通过瓶颈约束约束理论对基于实际问题的APS算法进行求解,实现了机电制造业生产模式的推拉式结合。实际应用结果表明:提出的生产计划排产系统在解决面向机电制造业的生产计划方面问题具有有效性和合理性,所研究的瓶颈约束理论和APS算法提高了生产计划排程的准确率,系统的实施便于生产计划排程的更改,提高了电机制造企业生产计划的自动化水平。
Aiming at the problems of inaccurate production planning and difficulty in changing production scheduling in electromechanical manufacturing enterprises,the production mode of this type of enterprise was studied,and advanced planning and scheduling(APS)smart system based on bottleneck theory was proposed.First,an APS intelligent system framework model that can help enterprises to integrate resources and have system integration functions was built.Secondly,APS algorithm was used to optimize and analyze the main production planning and scheduling of the core part of the model and the planning and scheduling of each workshop operation,and the APS algorithm could quickly respond to the occurrence of sudden changes in scheduling.Finally,the APS algorithm based on the actual problem was solved by the bottleneck constraint theory,and the push-pull combination of the electromechanical manufacturing production mode was realized.The actual application results show that the production planning and scheduling system at this level is effective and reasonable in solving the production planning problems of the electromechanical manufacturing industry.The bottleneck constraint theory and APS algorithm studied have improved the accuracy of production planning and scheduling.The implementation of the system facilitates the change of the production plan and schedule,and improves the automation level of the production plan of the motor manufacturer.
作者
余建国
木柏林
Yu Jianguo;Mu Bolin(School of Mechanical and Electrical Engineering,Jiangxi University of Science and Technology,Ganzhou,Jiangxi 341000,China)
出处
《机电工程技术》
2022年第9期22-25,共4页
Mechanical & Electrical Engineering Technology
基金
江西省高校人文社会科学研究项目(编号:GL1544)。
关键词
生产计划
约束理论
智能系统
算法
优化
production plan
theory of constraints
intelligent system
algorithm
optimization