面向敏捷生产的多品种小批量生产排程模型研究  

Research on Agile Production-Oriented Multi-Variety and Small Batch

作　　者：张顺堂[1] 胡鹏 ZHANG Shuntang;HU Peng(School of Management Science and Engineering,Shandong Technology and Business University,Yantai 264005;School of Safety and Environmental Engineering,Shandong University of Science and Technology,Qingdao 266590)

机构地区：[1]山东工商学院管理科学与工程学院,烟台264005 [2]山东科技大学安全与环境工程学院,青岛266590

出　　处：《现代制造技术与装备》2020年第11期203-208,共6页Modern Manufacturing Technology and Equipment

基　　金：山东省自然基金项目“基于物联网技术的精益装配生产线系统开发及实证研究”(ZR2011GL001);【2016-2020】山东省高水平应用型工业工程专业群建设项目;【2018-2020】山东省本科教改项目“大智移云背景下高校产学研结合的卓越工学人才培养机制创新研究”(M2018X177)。

摘　　要：在敏捷制造的背景下,以医疗器械制造企业为研究对象,运用工业工程改善思想,结合ERP、TOC计划与控制理论等相关知识,针对所研究公司延误交货、生产不均衡和资源利用率低等情况,对其生产计划与调度体系流程进行分析和改善,建立基于ERP与TOC集成的敏捷制造计划与控制系统体系结构,改进了企业的生产系统和排产方式。针对控拍工序,构建了瓶颈工序符合均衡生产和准时交付两个目标的作业计划排程模型,并设计了改进的遗传算法对问题进行求解。研究结果表明,构建敏捷制造计划与控制系统体系对公司的生产效率有了明显改善。This article is oriented to medical device manufacturing companies with the agile manufacturing environment,using industrial engineering improvement ideas,combining with related knowledge such as ERP,TOC,planning and control theory,and focusing on the delayed delivery,unbalanced production and low resource utilization of the studied company.Using the above methods to analyze and improve its production planning and scheduling system process,we establish an agile manufacturing planning and control system architecture based on the integration of ERP and TOC,and improve the production system and scheduling methods of the enterprise.For the controlling process,the bottleneck process of the job planning and scheduling model that meets goals of balanced production and on-time delivery is constructed,and an improved genetic algorithm is designed to solve the problem.The research results show that the construction of agile manufacturing planning and control system has significantly improved the company’s production efficiency.

关 键 词：敏捷制造 生产计划与控制 TOC 遗传算法 

分 类 号：F273[经济管理—企业管理] F426.4[经济管理—国民经济]