مدل سلسله مراتبي مبتني بر روش متوسط موزن فازي براي ارزيابي و سنجش چابكي توليد

A Hierarchical Model Based on Fuzzy Weighted Average Technique for Evaluating and Measuring Manufacturing Agility

Globalization and competitiveness have undergone earthquakes, tremors and aftershocks on global manufacturing environment, that have forced manufacturing organizations to restructure and change way of doing their business. Furthermore, manufacturing organizations have realized that agility is essential to survive and competition. But, the ability to build agile manufacturing componies has developed less than anticipated. Because, manufacturing organization managers faced with this problem that how much agility an organization currently posses, determining how much is needed. In this article, an hierarchical model based on fuzzy weighted average technique in order to support managers1 decisions for building manufacturing agile is Presented. This model can capture the vague and uncertainty of agility indicators, and the expertʹs knowledge and judgment. The model was performed in Khozestanʹs Steel industry. Keywords: Manufacturing Agility, Fuzzy set Theory, Fuzzy Weighted Average Technique.