工业工程 ›› 2012, Vol. 15 ›› Issue (3): 69-74.

• 专题论述 • 上一篇    下一篇

生产资源组织模式结构与运行评价的熵测度法

  

  1. 华南理工大学 工商管理学院,广东 广州 510641
  • 出版日期:2012-06-30 发布日期:2012-07-21
  • 作者简介:丁绒(1977-),女,湖北省人,博士研究生,主要研究方向为工业工程、供应链管理、系统工程.
  • 基金资助:

    国家自然科学基金资助项目(50675069);中央高校基本科研业务费专项资金(2011ZM0036)

An Entropy Approach to Structural and Operational Evaluation of Manufacturing Resource Organization Modes

  1. School of Business Administration, South China University of Technology, Guangzhou 510640, China
  • Online:2012-06-30 Published:2012-07-21

摘要: 针对不同生产资源组织模式的结构与运行状态的差异,目前尚缺乏系统的定量评价方法。基于信息熵理论及有序度定义,建立了结构熵模型与运行熵模型来分别评价生产资源组织模式在结构上和运行中的有序度。其中,结构熵模型包括时效熵和质量熵两部分;运行熵模型包括静态运行熵和动态运行熵两部分。对某压缩机制造企业的加工车间做了实例研究,以实施动态单元组织模式前后的结构与运行状态作对比分析,分别求解出2种不同模式下的结构熵与运行熵。结果表明,动态单元组织模式通过合理规划人力、设备资源及生产流程,能够极大减少企业生产中零件的转运与设备空闲时间,具有更优的结构有序度和运行有序度,能获得更好的零件加工效率。

关键词: 动态单元, 生产资源组织, 结构熵, 运行熵, 有序度

Abstract: Up to now, there is no systematical quantitative method to evaluate the structural and operational effectiveness of different manufacturing resource organization modes. Based on the concept of order degree and the principle of the information entropy, for different manufacturing resource organization modes, structural and operational entropy models are developed to evaluate the order degree of structure and operation, respectively. The structural entropy model presents both the time effect entropy and the quality entropy, while the operational entropy model covers both the static and dynamic operational entropy. A case study is given to test the method. By using the proposed method, it evaluates the structural and operational effectiveness for a manufacturing workshop under two organization modes:  before and after the implementation of a dynamic cellular organization.Results show that, by reasonable planning and scheduling of the system, the dynamic cellular organization mode can enormously reduce material delivery requirements and equipment idle time. Thus, it has high order degree and high productivity.

Key words: dynamic cell, manufacturing resource organization, structural entropy, operational entropy, order degree