面向节能环保的多目标柔性作业车间调度优化研究  

Research on Multi-objective Flexible Job Shop Scheduling Optimization for Energy Saving and Environmental Protection

作　　者：费凡 陈超 潘瑞林[2] Fei Fan;Chen Chao;Pan Ruilin(Anhui Zoomlion Basic Construction Intelligent Equipment Technology Co,Maanshan,Anhui 238261,China;School of Management Science and Engineering,Anhui University of Technology,Maanshan,Anhui 243032,China;Sinosteel Maanshan General Institute of Mining Research Co,Maanshan,Anhui 243000,China)

机构地区：[1]安徽中联重科基础施工智能装备科技有限公司,安徽马鞍山238261 [2]安徽工业大学管理科学与工程学院,安徽马鞍山243032 [3]中钢集团马鞍山矿山研究总院股份有限公司,安徽马鞍山243000

出　　处：《机电工程技术》2025年第4期155-160,共6页Mechanical & Electrical Engineering Technology

摘　　要：针对柔性作业车间在进行生产时的节能环保问题,提出了将车间能耗指标作为调度问题的优化目标,同时将柔性作业车间能耗分为4个维度进行分析,分别是加工工艺维度、加工产品维度、加工设备维度和生产辅助维度,并描述了各类能耗的数学表达式。构建了以设备能耗、工件运输能耗及生产过程最大完工时间为优化子目标的车间调度模型,并通过改进非支配排序遗传算法(Non-dominated Sorting Genetic Algorithm II,NSGA-II)对该模型进行求解,通过MATLAB工具获得了15组Pareto最优解,得出了在保证车间最大完工时间较小时的耗能最优调度方案,验证了算法的有效性和实效性。最后在前述的研究成果上,完成实际系统的开发并在国内某钢厂进行应用,为该钢铁厂有效的降低了车间能耗同时保证了生产效率。相较于之前学者的研究结论,实现了将研究成果进行开发和落地并近一步的在各个企业内推广。Aiming at the problem of energy saving and environmental protection in the production of flexible job shop,a proposal was made to take the shop energy consumption index as the optimization target of scheduling problem.Meanwhile,the energy consumption of flexible job shop was divided into four dimensions for analysis:the processing technology dimension,the processing product dimension,the processing equipment dimension and the production auxiliary dimension,and describes various mathematical expressions of energy consumption were described.A workshop scheduling model with equipment energy consumption,workpiece transportation energy consumption and maximum completion time of production process as optimization sub-objectives was constructed,and the model was solved by improving the Nondominated sorting genetic algorithm II(NSGA-II).Through Matlab tool,15 groups of Pareto optimal solutions are obtained,and the optimal scheduling scheme of energy consumption is obtained when the maximum completion time of the workshop is less,which verifies the effectiveness and effectiveness of the algorithm.Finally,based on the aforementioned research results,the actual system was developed and applied in a domestic steel mill,which effectively reduced the energy consumption of the workshop and ensured the production efficiency.Compared with the previous research conclusions of scholars,the reasearch outcomes were developmed and implemented and further promoted them in various enterprises.

关 键 词：节能环保 车间能耗 改进非支配排序遗传算法 柔性作业车间调度 

分 类 号：TH165[机械工程—机械制造及自动化]