An Adaptive Neuro Fuzzy Inference System for Supply chain Agility Evaluation

  • سال انتشار: 1388
  • محل انتشار: فصلنامه بین المللی مهندسی صنایع و تحقیقات تولید، دوره: 20، شماره: 4
  • کد COI اختصاصی: JR_IJIEPR-20-4_006
  • زبان مقاله: انگلیسی
  • تعداد مشاهده: 833
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نویسندگان

J. Jassbi

Department of Industrial Management Islamic Azad University, Science and Research Branch Tehran, Iran.

S.M. Seyedhosseini

Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran.

N. Pilevari

Department of Industrial Management Islamic Azad University , Science and Research Branch Tehran, Iran.

چکیده

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 FuzzyInference 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.

کلیدواژه ها

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

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