摘要
通过研究生产过程时间,重新细分和定义等待时间,建立包括运输时间、调整时间、故障时间、等待时间、加工时间在内的柔性作业车间生产过程的时间模型,研究了柔性作业车间调度优化问题并设计了混合遗传算法的求解算法。最后,采用经典柔性作业车间调度用例,验证和对比了柔性作业车间调度的结果。结果表明,基于生产过程时间模型研究柔性作业车间调度问题,其优化性能有较好的改进,具有更好的实际应用价值。
The production process time was studied,the waiting time subdivided and refined,and the production process time model was built including transportation time,setup time,waiting time,failure time and processing time,then the flexible job shop scheduling problems based on the time model was studied and the optimism algorithm based on hybrid GA was contrived.Finally,the test using FJSP classical example was verified and contrasted,which showed that the optimism result of JSP based on production process time model was improved,and possessed good application value.
作者
李峥峰
于小忠
张国辉
崔陆军
LI Zhengfeng;YU Xiaozhong;ZHANG Guohui;CUI Lujun(School of Mechatronics Engineering,Zhongyuan University of Technology,Zhengzhou 450007,China;School of Management Engineering,Zhengzhou University of Aeronautics,Zhengzhou 450015,China)
出处
《工业工程》
北大核心
2020年第2期26-33,123,共9页
Industrial Engineering Journal
基金
河南省科技攻关资助项目(182102210515)
河南省高等学校重点科研资助项目(19A460034)。
关键词
柔性作业车间
调度
运输时间
调整时间
故障时间
生产过程时间
flexible job shop
scheduling
transportation time
setup time
failure time
production process time
