جلد 20، شماره 4 - ( نشريه بين المللي مهندسي صنايع و مديريت توليد 1389 )
جلد 20 شماره 4 صفحات 196-187 |
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Jassbi J, Seyedhosseini S, Pilevari N. An Adaptive Neuro Fuzzy Inference System for Supply chain Agility Evaluation. IJIEPR 2010; 20 (4) :187-196
URL: http://ijiepr.iust.ac.ir/article-1-106-fa.html
URL: http://ijiepr.iust.ac.ir/article-1-106-fa.html
An Adaptive Neuro Fuzzy Inference System for Supply chain Agility Evaluation. نشریه بین المللی مهندسی صنایع و تحقیقات تولید. 1389; 20 (4) :187-196
چکیده: (10532 مشاهده)
Nowadays, in turbulent and violate global markets, agility has been considered as a fundamental characteristic of a supply chain needed for survival. To achieve the competitive edge, companies must align with suppliers and customers to streamline operations, as well as agility beyond individual companies. Consequently Agile Supply Chain (ASC) is considered as a dominant competitive advantage. However, so far a little effort has been made for designing, operating and evaluating agile supply chain in recent years. Therefore, in this study a new approach has been developed based on Adaptive Neuro Fuzzy Inference System (ANFIS) for evaluating agility in supply chain considering agility capabilities such as Flexibility, Competency, Cost, Responsiveness and Quickness. This evaluation helps managers to perform gap analysis between existent agility level and the desired one and also provides more informative and reliable information for decision making. Finally the proposed model has been applied to a leading car manufacturing company in Iran to prove the applicability of the model.
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