柔性作业车间能耗优化研究
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摘要
为了实现机械加工车间的节能优化运行,建立了考虑运输时间的节能柔性作业车间调度模型。使用基于动素的机床能耗模型预测生产过程中的机床能耗,并利用遗传算法实现了模型的求解。柔性作业车间环境下,该模型能够从能耗出发,为各加工任务选择合适的加工机床,同时生成优化的生产调度方案。最后,案例研究验证了建立的模型的节能效果和有效性。
To realize the energy-saving optimization operation in machining workshop,an energy-efficient flexible job shop scheduling model is established as well as considering transportation time. The Therblig-based model is used to predict the energy consumption of machine tools in production process,and a genetic algorithm-based approach is adopted to solve the establishedmodel. Such model can help select the suitable machines for each job and generate the optimal scheduling scheme simultaneously for saving energy in the flexible job shop environment. Finally,the energy-saving effectiveness of applying the established model is verified through case study.
To realize the energy-saving optimization operation in machining workshop,an energy-efficient flexible job shop scheduling model is established as well as considering transportation time. The Therblig-based model is used to predict the energy consumption of machine tools in production process,and a genetic algorithm-based approach is adopted to solve the establishedmodel. Such model can help select the suitable machines for each job and generate the optimal scheduling scheme simultaneously for saving energy in the flexible job shop environment. Finally,the energy-saving effectiveness of applying the established model is verified through case study.
引文
[1]国家统计局能源统计司.中国能源统计年鉴[M].北京:中国统计出版社,2013.
[2]Newman S T,Nassehi A,Imani-Asrai r,et al.Energy efficient process planning for CNC machining[J].CIRP Journal of Manufacturing Science and Technology,2012,5(2):127-136.
[3]Ba ewicz J,Ecker K H,Pesch E,et al.Handbook on scheduling:from theory to applications[M].Berlin,Springer Science&Business Media,2007.
[4]Mouzon G,Yildirim M B,Twomey J.Operational methods for minimization of energy consumption of manufacturing equipment[J].International Journal of Production Research,2007,45(18-19):4247-4271.
[5]Fang K T,Lin B M T.Parallel-machine scheduling to minimize tardiness penalty and power cost[J].Computers&Industrial Engineering,2013,64(1):224-234.
[6]Dai M,Tang D,Giret A,et al.Energy-efficient scheduling for a flexible flow shop using an improved genetic-simulated annealing algorithm[J].Robotics and Computer-Integrated Manufacturing,2013,29(5):418-429.
[7]He Y,Liu B,Zhang X,et al.A modeling method of task-oriented energy consumption for machining manufacturing system[J].Journal of Cleaner Production,2012,23(1):167-174.
[8]Lv J,Tang R,Jia S.Therblig-based energy supply modeling of computer numerical control machine tools[J].Journal of Cleaner Production,2014,65:168-177.
[9]Kara S,Li W.Unit process energy consumption models for material removal processes[J].CIRP Annals-Manufacturing Technology,2011,60(1):37-40.
[10]Zhang Q,Manier H,Manier M A.A genetic algorithm with tabu search procedure for flexible job shop scheduling with transportation constraints and bounded processing times[J].Computers and Operations Research,2012,39(7):1713-1723.
[11]赵宁,李开典,田青,等.考虑运输时间柔性作业车间调度问题的快速寻优方法[J].计算机集成制造系统,2015,21(3):724-732.
[12]贾顺.面向低碳制造的机械加工工艺过程能量需求建模与智能计算研究[D].杭州:浙江大学,2014.
[13]He Y,Liu F,Wu T,et al.Analysis and estimation of energy consumption for numerical control machining[J].Proceedings of the Institution of Mechanical Engineers,Part B:Journal of Engineering Manufacture,2011,226(2):255-266.
[14]Sun W,Pan Y,Lu X,et al.Research on flexible job-shop scheduling problem based on a modified genetic algorithm[J].Journal of mechanical science and technology,2010,24(10):2119-2125.
[2]Newman S T,Nassehi A,Imani-Asrai r,et al.Energy efficient process planning for CNC machining[J].CIRP Journal of Manufacturing Science and Technology,2012,5(2):127-136.
[3]Ba ewicz J,Ecker K H,Pesch E,et al.Handbook on scheduling:from theory to applications[M].Berlin,Springer Science&Business Media,2007.
[4]Mouzon G,Yildirim M B,Twomey J.Operational methods for minimization of energy consumption of manufacturing equipment[J].International Journal of Production Research,2007,45(18-19):4247-4271.
[5]Fang K T,Lin B M T.Parallel-machine scheduling to minimize tardiness penalty and power cost[J].Computers&Industrial Engineering,2013,64(1):224-234.
[6]Dai M,Tang D,Giret A,et al.Energy-efficient scheduling for a flexible flow shop using an improved genetic-simulated annealing algorithm[J].Robotics and Computer-Integrated Manufacturing,2013,29(5):418-429.
[7]He Y,Liu B,Zhang X,et al.A modeling method of task-oriented energy consumption for machining manufacturing system[J].Journal of Cleaner Production,2012,23(1):167-174.
[8]Lv J,Tang R,Jia S.Therblig-based energy supply modeling of computer numerical control machine tools[J].Journal of Cleaner Production,2014,65:168-177.
[9]Kara S,Li W.Unit process energy consumption models for material removal processes[J].CIRP Annals-Manufacturing Technology,2011,60(1):37-40.
[10]Zhang Q,Manier H,Manier M A.A genetic algorithm with tabu search procedure for flexible job shop scheduling with transportation constraints and bounded processing times[J].Computers and Operations Research,2012,39(7):1713-1723.
[11]赵宁,李开典,田青,等.考虑运输时间柔性作业车间调度问题的快速寻优方法[J].计算机集成制造系统,2015,21(3):724-732.
[12]贾顺.面向低碳制造的机械加工工艺过程能量需求建模与智能计算研究[D].杭州:浙江大学,2014.
[13]He Y,Liu F,Wu T,et al.Analysis and estimation of energy consumption for numerical control machining[J].Proceedings of the Institution of Mechanical Engineers,Part B:Journal of Engineering Manufacture,2011,226(2):255-266.
[14]Sun W,Pan Y,Lu X,et al.Research on flexible job-shop scheduling problem based on a modified genetic algorithm[J].Journal of mechanical science and technology,2010,24(10):2119-2125.