Computer Engineering and Applications ›› 2015, Vol. 51 ›› Issue (4): 11-16.

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Control of task decomposition and scheduling with flexible personnel

LIN Ren1,2, ZHOU Guohua1   

  1. 1.School of Economics and Management, Southwest Jiaotong University, Chengdu 610031,China
    2.College of Mathematics and Computer Science, Hunan City University, Yiyang, Hunan 413000, China
  • Online:2015-02-15 Published:2015-02-04

任务分解控制及人员柔性的车间集成调度

林  仁1,2,周国华1   

  1. 1.西南交通大学 经济管理学院,成都 610031
    2.湖南城市学院 数学与计算科学学院,湖南 益阳 413000

Abstract: To solve the disconnection between task decomposition and resources allocation in the complex manufacturing environment, the methods of manufacturing task decomposition and multi-objective job shop optimization with flexible staff resource are proposed. On the basis of analyzing the characteristics of complex manufacturing tasks, granularity control model of task decomposition and consider manufacturing cell resource allocation model considering personnel flexible are established, non dominated sorting genetic algorithm is used to solve the model, more satisfactory scheme of task decomposition and job shop resource scheduling is gained.

Key words: task decomposition, flexible job-shop scheduling problem, flexible personnel, Genetic Algorithm

摘要: 针对复杂产品制造环境下制造任务分解与资源配置脱节的问题,提出了制造任务分解与多目标人员柔性车间资源配置优化方法。在对复杂制造任务特点进行分析的基础上,建立了任务分解粒度控制模型和考虑人员柔性的制造单元资源模型,利用自适应非支配排序遗传算法进行求解,得到了较为满意的任务分解和车间资源调度方案。

关键词: 任务分解, 柔性作业车间调度, 人员柔性, 遗传算法