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 essent...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | fas |
| Published: |
Allameh Tabataba'i University Press
2010-09-01
|
| Series: | Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī |
| Subjects: | |
| Online Access: | https://jims.atu.ac.ir/article_4463_e747b206b4c593820e52e4bb9f6734a5.pdf |
| Summary: | 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 companies has developed less than anticipated. Because, manufacturing organization managers faced with this problem that how much agility an organization currently possess, determining how much is needed. In this article, an hierarchical model based on fuzzy weighted average technique in order to support managers' decisions for building manufacturing agile is Presented. This model can capture the vague and uncertainty of agility indicators, and the expert's knowledge and judgment. The model was performed in Khozestan's Steel industry. |
|---|---|
| ISSN: | 2251-8029 2476-602X |