工业工程

工业工程 ›› 2016, Vol. 19 ›› Issue (3): 122-129.

• 实践与应用 • 上一篇    下一篇

基于改进的TOPSIS法与RSR法的质量改善项目综合评估

  

  1. 东北林业大学 工程技术学院，黑龙江 哈尔滨 150040
  • 出版日期:2016-06-30 发布日期:2016-08-31
  • 作者简介:朱玉杰（1965-），女，黑龙江省人，教授，硕士生导师，主要研究方向为工业工程、精益生产.
  • 基金资助:

    哈尔滨市科技创新人才研究专项资金项目（2014RFXXJ108）

The Priority Ranking of Quality Improvement Project Based on Improved TOPSIS and RSR Method

  1. College of Engineering and Technology，Northeast Forestry University，Harbin 150040，China
  • Online:2016-06-30 Published:2016-08-31

摘要：

针对失效模式与影响分析中的风险优先数（RPN）方法在质量改善项目排序问题上的局限性，提出一种新的排序方法。首先，借助模糊集理论和熵权法，确定决策指标的模糊指标值和主、客观权重；随后采用改进的理想解逼近法（TOPSIS）与秩和比法（RSR）获得优先级排序和分档；同时，提出并定义了相对应的关键术语：改善主题、难易程度、发生度和改善潜力，最后，结合企业实例验证了新排序方法的有效性和稳定性。

关键词: 质量改善, 优先级排序, 失效模式与影响分析, TOPSIS法, 秩和比法(RSR)

Abstract:

Aiming at the limitation of the RPN(risk priority number) of the failure mode & effect analysis in the quality improvement activities, a new ranking method is proposed. Firstly, by fuzzy set theory and entropy weight method, fuzzy value and subjective and objective weights of decision factors are computed. Secondly, using the improved TOPSIS method and RSR(method) for the prioritization and classification. Then, the key terms of FMEA including improvement theme, degree of difficulty, the occurrence and potential for improvement are put forward and defined, with the new method verified by enterprise examples. Finally, an enterprise example verifies the availability and stability of the new ranking method.

Key words: quality improvement, priority ranking, failure mode and effect analysis(FMEA), TOPSIS(technique for order preference by similarity to an ideal solution), RSR(ranksum ratio)