混线自由锻协同生产多目标节能优化调度方法  

Multi-objective energy saving optimal scheduling method for mixed line free forging collaborative production

作　　者：程强[1,2] 李德威 刘志峰[2,3] 郑辰仰 CHENG Qiang;LI Dewei;LIU Zhifeng;ZHENG Chenyang(Institute of Advanced Manufacturing and Intelligent Technology,Beijing University of Technology,Beijing 100124,China;Beijing Key Laboratory of Advanced Manufacturing Technology,Beijing University of Technology,Beijing 100124,China;School of Mechanical and Aerospace Engineering,Jilin University,Changchun 130015,China;Department of Industrial Engineering and Management,Taipei University of Technology,Taipei 106344,China)

机构地区：[1]北京工业大学先进制造与智能技术研究所,北京100124 [2]北京工业大学先进制造技术北京市重点实验室,北京100124 [3]吉林大学机械与航空航天工程学院,长春130015 [4]台北科技大学工业工程与管理系,台北106344

出　　处：《华中科技大学学报（自然科学版）》2024年第6期10-16,共7页Journal of Huazhong University of Science and Technology(Natural Science Edition)

基　　金：国家自然科学基金面上项目(51975012,52275230)。

摘　　要：针对锻件产品多品种、小批量的需求增加和绿色生产的需要,提出一种混线自由锻协同生产的节能调度方法.将锻件温度和运输车辆最大运输质量作为调度的关键约束因素,以最大完工时间和能源消耗最小化为目标,建立虑及锻造温度的混线协同生产多目标节能优化数学模型.结合数学模型通过改编非支配排序遗传算法(NSGA-Ⅱ),得到模型优化后的生产时间、能耗及运输次数,对比可知混线协同生产节能调度比传统非协同生产调度时间减少约20%,能耗减少约40%,运输次数减少60%,验证了混线协同节能生产调度的有效性.Aiming at the increasing demand for multiple varieties and small batches of forging products,as well as the need for green production,an energy-saving scheduling method for collaborative production of mixed line free forging was proposed.The optimization objective was to minimize the maximum completion time and energy consumption.The forging temperature and the maximum transportation quality of transportation vehicles were key constraints for scheduling.A multi-objective energy-saving optimization mathematical model for mixed line collaborative production considering forging temperature was established.Combining the mathematical model and adapting the non-dominated sorting genetic algorithm(NSGA-Ⅱ),the optimized production time,energy consumption,and transportation times were obtained.Compared to traditional non collaborative production scheduling methods,energy saving scheduling for mixed line collaborative production can reduce the scheduling time by about 20%,energy consumption by about 40%,and transportation times by 60%,which validates the effectiveness of mixed line collaborative energysaving production scheduling.

关 键 词：锻造节能 混线生产 遗传算法 多目标优化 生产调度 

分 类 号：TH181[机械工程—机械制造及自动化]