en و موضوعات مربوط Other Related Subject پژوهشي Research <span style="FONT-SIZE: 11pt FONT-FAMILY: "Times New Roman" mso-fareast-font-family: 'Times New Roman' mso-ansi-language: EN-US mso-fareast-language: EN-US mso-bidi-language: FA"><em>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.<font face="Times New Roman"><span style="mso-spacerun: yes"><font size="3">  </font></span>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<span style="COLOR: black"><font size="3">.</font></span></font></em></span> Agility; Agile supply chain; Adaptive Neuro Fuzzy Inference System (ANFIS); Supply chain; Supply chain management 187 196 http://ijiepr.iust.ac.ir/browse.php?a_code=A-10-1-61&slc_lang=en&sid=1 J. Jassbi Jassbi@srbiau.ac.ir 18003194753284600554 18003194753284600554 No S.M. Seyedhosseini seyedhoseini@yahoo.com. 18003194753284600612 18003194753284600612 Yes N. Pilevari 18003194753284600613 18003194753284600613 No