摘要
针对工件品种多、工序复杂,机床在批量同种工序首件加工前需进行调整等问题,研究出一种以机床总能耗最小和工件的最大完工时间最小为优化目标的生产调度模型。使用遗传算法对提出的模型进行快速精确求解。运用Matlab软件平台对实际案例进行仿真,将新旧模型的计算结果进行对比,结果表明建立的模型是有效和实用的,能更有效地指导实际生产。
Aiming at the problems of multiple workpiece types,small batches,large process flexibility,and whether the machine tool needs to be adjusted,a production scheduling model with the total energy consumption of the machine tool and the completion time of the workpiece as the optimization goals was developed.An improved genetic algorithm is designed to solve the proposed model quickly and accurately.The Matlab software platform is used to simulate actual cases and calculates data of the new and old models.The results show that the established model is effective and practical,and can more effectively guide the actual production.
作者
单东日
王玉伟
高立营
童灿
SHAN Dongri;WANG Yuwei;GAO Liying;TONG Can(School of Electronic and Information Engineering,Qilu University of Technology(Shandong Academy of Sciences),Jinan 250353,CHN;School of Mechanical and Automotive Engineering,Qilu University of Technology(Shandong Academy of Sciences),Jinan 250353,CHN)
出处
《制造技术与机床》
北大核心
2020年第8期151-154,161,共5页
Manufacturing Technology & Machine Tool
基金
山东省重点研发计划(2017CXGC0604)
山东省自主创新及成果转化专项(2015ZDXX0101G06)
山东省高等学校科技发展计划(J18KA032)。
关键词
柔性作业车间调度模型
能耗
完工时间
遗传算法
flexible job shop scheduling model
energy consumption
completion time
genetic algorithm
