退役产品拆解车间逆向生产与物流集成调度优化  

Optimization of Reverse Production and Workshops Logistics Integrated Scheduling in End-of-life Products Disassembly Workshops

作　　者：匡增彧 谢晖[1] 任莹晖[1] 石珉滈 KUANG Zengyu;XIE Hui;REN Yinghui;SHI Minhao(College of Mechanical and Vehicle Engineering,Hunan University,Changsha 410082,China)

机构地区：[1]湖南大学机械与运载工程学院,长沙410082

出　　处：《湖南大学学报（自然科学版）》2024年第4期161-168,共8页Journal of Hunan University:Natural Sciences

基　　金：国家重点研发计划资助项目(2020YFB1713002)。

摘　　要：针对退役产品拆解工艺与物流存在的不确定性,提出一种逆向生产和物流集成调度拆解车间优化方法.分析退役产品拆解车间作业过程中生产与物流相互影响因素,以优化逆向生产与物流过程中的最大完工时长和提前/拖期成本为目标构建车间多目标调度模型.基于物流路径决策,设计一种带基因修复的变异算子改进NSGA-Ⅱ算法的变异准确性,提升算法的求解有效性.以某公司的手机拆解线为例,分析多尺寸的生产、物流算例.结果表明,随着自适应引导车数量的增加,大、小尺寸算例的拖期成本分别减少了57.1%和58.3%,验证了模型的有效性.Aiming at the uncertainty of disassembly processes and logistics,an optimization method for the production and logistics integrated scheduling in a disassembly workshop is proposed to cooperatively optimize efficiency and cost.Firstly,the interaction factors between reverse production and reverse logistics in end-of-life product disassembly workshops are analyzed.A multi-objective scheduling model of the workshop is constructed,aiming at optimizing the maximum completion time and the advanced/delayed costs in reverse production and workshops logistics processes.Secondly,based on the logistics route decision,a mutation operator with gene repair is designed to improve the mutation accuracy of the NSGA-Ⅱalgorithm and enhances the solution effectiveness of the algorithm.Finally,taking a company's mobile phone disassembly line as an example,the multi-size production and logistics examples are analyzed.The results show that as the number of adaptive guided vehicles increases,the delay cost of large and small size examples are reduced by 57.1%and 58.3%,respectively,verifying the effectiveness of the model.

关 键 词：退役产品 逆向生产 拆解车间 逆向物流 调度 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TB497[自动化与计算机技术—控制科学与工程]