An Adaptive Neuro Fuzzy Inference System for Supply chain Agility Evaluation

Jassbi, J.; Seyedhosseini   ,  S.M.; Pilevari,   N.

Volume 20, Issue 4 (IJIEPR 2010) IJIEPR 2010, 20(4): 187-196 | Back to browse issues page

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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-en.html

An Adaptive Neuro Fuzzy Inference System for Supply chain Agility Evaluation

J. Jassbi

, S.M. Seyedhosseini

¹, N. Pilevari

1- , seyedhoseini@yahoo.com.

Abstract: (10100 Views)

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.

Keywords: Agility; Agile supply chain; Adaptive Neuro Fuzzy Inference System (ANFIS); Supply chain; Supply chain management

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Type of Study: Research | Subject: Other Related Subject
Received: 2010/05/31 | Published: 2010/04/15