Title of article :
An Adaptive Neuro Fuzzy Inference System for Supply chain Agility Evaluation
Author/Authors :
Jassbi, J. islamic azad university - Department of Industrial Management, ايران , Seyedhosseini, S.M. iran university of science and technology - Department of Industrial Engineering, تهران, ايران , Pilevari, N. islamic azad university - Department of Industrial Management, ايران
Abstract :
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 asagility 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 andevaluating agile supply chain in recent years. Therefore, in this study anew approach has been developed based on Adaptive Neuro FuzzyInference System (ANFIS) for evaluating agility in supply chainc onsidering 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 aleading car manufacturing company in Iran to prove the applicability of the model.
Keywords :
Agility , Agile supply chain , Adaptive NeuroFuzzy Inference System (ANFIS) , Supply chain , Supply chain management
Journal title :
International Journal of Industrial Engineering and Production Research
Journal title :
International Journal of Industrial Engineering and Production Research