多状态系统的生产计划与设备维修的联合决策  

Joint Decision of Production Planning and Equipment Maintenance for Multi-state System

作　　者：杨晓梅[1,2] 李文汇 张宇琼 官开 YANG Xiao-mei;LI Wen-hui;ZHANG Yu-qiong;GUAN Kai(School of Economics and Management,Taiyuan University of Science and Technology,Shanxi 030024,China;Research Center for Imovation and Development of Equipment Manufacturing Industry,Key Research Bases for Humainities and Social Science in Shanxi,Shanxi 030024,China)

机构地区：[1]太原科技大学经济与管理学院,山西030024 [2]山西省人文社科重点基地装备制造业创新发展研究中心,山西030024

出　　处：《组合机床与自动化加工技术》2022年第9期164-168,共5页Modular Machine Tool & Automatic Manufacturing Technique

基　　金：国家自然科学基金(71701140);山西省自然科学基金(201801D121170,201801D121166);山西省重点研发计划项目(201703D111011);山西省规划办社科资助项目(W20191009);山西省高等学校科技创新项目(2021L333);太原科技大学校博士启动基金项目(20202027)。

摘　　要：通过分析生产计划和设备维修间的相互影响关系,针对多状态生产系统,设计了生产计划与设备维修的联合策略。在该策略中,考虑设备在失控状态下产生的次品对总成本的影响,采取定期维修与视情维修相结合的维修方案。根据该策略,构建了以总需求量、次品率和子周期数为决策变量,生产和维修的总成本最小为目标的联合优化模型;利用遗传算法对该模型进行求解,得到了生产计划和设备维修的最优集成方案。通过对参数进行灵敏度分析、与相关模型进行对比分析验证了该模型的正确性和有效性,结果表明该策略能够有效降低生产和维修成本。By analyzing the interaction between production planning and equipment maintenance,a joint policy of production planning and equipment maintenance was designed for multi-state production system.Considering that the non-conforming items could influence the total cost,which were produced when the machine is out-of-control,this policy adopts a maintenance plan combining regular maintenance and condition-based maintenance.According to the policy,an integrated optimization model was developed aiming at the minimum total cost.Total demand,the proportion of nonconforming items and the number of sub-cycles were the decision variables in this model.Genetic Algorithm was used to solve the model and an optimal solution is obtained.The correctness and effectiveness of the proposed model are verified by sensitivity analysis of parameters and comparison with relevant models.The results show that the proposed policy can effectively reduce production and maintenance costs.

关 键 词：多状态系统 生产计划 视情维修 稳态概率 

分 类 号：TH165[机械工程—机械制造及自动化] TG68[金属学及工艺—金属切削加工及机床]