计算机工程与应用 ›› 2010, Vol. 46 ›› Issue (27): 242-244.DOI: 10.3778/j.issn.1002-8331.2010.27.068

• 工程与应用 • 上一篇    下一篇

约束条件下顾客需求重要度计算方法

张根保,李强兵,任显林,赵 喜   

  1. 重庆大学 机械工程学院 先进制造技术研究所,重庆 400030
  • 收稿日期:2009-02-27 修回日期:2009-06-03 出版日期:2010-09-21 发布日期:2010-09-21
  • 通讯作者: 张根保

Calculation algorithm of customer requirements importance rating under constrained conditions

ZHANG Gen-bao,LI Qiang-bing,REN Xian-lin,ZHAO Xi   

  1. Institute of Advanced Manufacturing Technology,College of Mechanical Engineering,Chongqing University,Chongqing 400030,China
  • Received:2009-02-27 Revised:2009-06-03 Online:2010-09-21 Published:2010-09-21
  • Contact: ZHANG Gen-bao

摘要: 研究了企业在实际应用质量功能配置过程中由于资源约束条件,无法完全满足所有顾客需求重要度的问题。通过对传统的层次分析法进行改进,提出基于Monte Carlo-AHP方法的顾客需求重要性排序方法,对排序靠后的顾客需求项进行取舍以满足企业资源约束;然后采用数据包络分析(DEA)模型计算企业考虑竞争差异时的相对效率,根据相对效率与应用AHP方法计算得到的基本重要度,确定最终顾客需求重要度。最后,给出了该方法的应用实例。

关键词: 质量功能配置, 需求重要度, 约束条件, 蒙特卡罗模拟, 数据包络分析

Abstract: In the practical application process of Quality Function Deployment(QFD),enterprise is unable to calculate the important weights of customer requirements under cost constraint.In order to precisely identify the priorities of the adjacent customer requirements in final ordering,a method in ranking the importance weight of customer requirements based on Monte Carlo-AHP is discussed.Data Envelopment Analysis(DEA) is used for computing the relative efficiency if enterprise meets each requirement,based on a combination of fundamental importance weights of customer requirements calculated by AHP(Analytic Hierachy Process) and their relative efficiency,the final weights of customer requirements can be obtained.Finally,a case study is provided to illustrate the application of the proposed method.

Key words: quality function deployment, requirements importance rating, constraint, Monte Carlo simulation, data envelopment analysis

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