系统仿真学报 ›› 2021, Vol. 33 ›› Issue (8): 1856-1865.doi: 10.16182/j.issn1004731x.joss.20-0287

• 仿真建模理论与方法 • 上一篇    下一篇

基于组合赋权的离散车间生产计划综合评价

罗樟圳, 江海凡, 付建林*, 丁国富   

  1. 西南交通大学 机械工程学院,四川 成都 610031
  • 收稿日期:2020-06-01 修回日期:2020-07-14 发布日期:2021-08-19
  • 通讯作者: 付建林(1978-),男,讲师,博士生,研究方向为生产系统建模仿真、物流优化等。E-mail: jlfuhappy@swjtu.edu.cn
  • 作者简介:罗樟圳(1997-),男,硕士生,研究方向为智能制造。E-mail: 493169500@qq.com
  • 基金资助:
    四川省重大科技专项(2020YJ0215)

Combination Weighting-based Comprehensive Evaluation for Discrete Workshop Production Plan

Luo Zhangzhen, Jiang Haifan, Fu Jianlin*, Ding Guofu   

  1. School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China
  • Received:2020-06-01 Revised:2020-07-14 Published:2021-08-19

摘要: 针对离散车间生产计划缺乏通用的评价指标体系以及定性和定量相结合的综合评价方法,从经济性、时间性和适应性三个方面构建离散车间生产计划评价指标体系,提出一种基于组合赋权的离散车间生产计划综合评价方法。该方法通过综合可拓层次分析法、熵值法和改进CRITIC (Criteria Importance Through Intercriteria Correlation)法得到具有主客观意义的组合权重,提高了离散车间生产计划综合评价的科学性。实例验证结果表明该方法对数据的敏感程度更高,具有更好的评价灵敏度。

关键词: 离散车间, 可拓层次分析法, 改进CRITIC法, 熵值法, 生产计划综合评价

Abstract: Aiming at the lack of a general evaluation index system and a comprehensive evaluation method combining qualitative and quantitative for discrete workshop production planning, an evaluation index system is constructed from the economy, timeliness and adaptability and a combination weighting-based comprehensive evaluation method is proposed. A combination weight of subjective and objective significance is obtained by combining the extension of analytic hierarchy process, entropy value method and improved CRITIC (Criteria Importance Through Intercriteria Correlation) method, which improves the scientific evaluation of discrete workshop production planning. The verification results of examples show that the method is more sensitive to the data and has the better evaluation sensitivity.

Key words: discrete workshop, extension AHP(Analytic Hierarchy Process), improved CRITIC(Criteria Importance Through Intercriteria Correlation) method, entropy method, comprehensive evaluation of production plan

中图分类号: