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.
作者
张中伟
吴立辉
贾顺
ZHANG Zhongwei;WU Lihui;JIA Shun(School of Mechanical and Electrical Engineering,Henan University of Technology,Zhengzhou 450001,CHN;School of Mechanical Engineering,Zhejiang University,Hangzhou 310027,CHN;Department of Industrial Engineering,Shandong University of Science and Technology,Qingdao 266590,CHN)
出处
《制造技术与机床》
北大核心
2019年第4期162-168,共7页
Manufacturing Technology & Machine Tool
基金
国家自然科学基金资助项目(51175464
U1704156)
河南省科技攻关计划资助项目(182102210391)
河南省高等学校重点科研资助项目(18A460013)
河南工业大学河南省省属高校基本科研业务费专项资金资助项目(2016QNJH09)
河南工业大学高层次人才科研基金资助项目(2017BS014)
关键词
节能柔性作业车间调度
能耗
运输时间
遗传算法
energy-efficientflexible job shop scheduling
energy consumption
transportation time
genetic algorithm
