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Information Journal Paper

Title

An Adaptive Neuro-Fuzzy Inference System to Measure Supply Chain Continuity (The Case of IranKhodro Company)

Author(s)

EBRAHIMI MEHRAN | AZAR ADEL | SAFARI HOSEIN | SADEGHI MOGHADAM MOHAMMAD REZA | Issue Writer Certificate 

Pages

  85-114

Abstract

 In recent years, there has been an increase in the likelihood of the occurrence of the risks and unexpected events. As a result, supply chains are more vulnerable to disruption and the risk to supply chain continuity has increased. The ability to manage risks and disruptions is one important aspect that differentiates successful business leaders from others. The present research therefore attempts to conceptualize the concept of supply chain continuity and design an Adaptive Neuro-Fuzzy Inference System (ANFIS) to evaluate the continuity of IKCO supply chain. Hence, a systematic literature review is conducted to identify and explore appropriate capabilities and strategies that can be employed to build continuity in a supply chain. Then, ANFIS approach is used to evaluate the continuity of IKCO supply chain. The results indicate an average condition based on the proposed model.

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  • Cite

    APA: Copy

    EBRAHIMI, MEHRAN, AZAR, ADEL, SAFARI, HOSEIN, & SADEGHI MOGHADAM, MOHAMMAD REZA. (2019). An Adaptive Neuro-Fuzzy Inference System to Measure Supply Chain Continuity (The Case of IranKhodro Company). IRANIAN JOURNAL OF TRADE STUDIES (IJTS), 23(90 ), 85-114. SID. https://sid.ir/paper/7313/en

    Vancouver: Copy

    EBRAHIMI MEHRAN, AZAR ADEL, SAFARI HOSEIN, SADEGHI MOGHADAM MOHAMMAD REZA. An Adaptive Neuro-Fuzzy Inference System to Measure Supply Chain Continuity (The Case of IranKhodro Company). IRANIAN JOURNAL OF TRADE STUDIES (IJTS)[Internet]. 2019;23(90 ):85-114. Available from: https://sid.ir/paper/7313/en

    IEEE: Copy

    MEHRAN EBRAHIMI, ADEL AZAR, HOSEIN SAFARI, and MOHAMMAD REZA SADEGHI MOGHADAM, “An Adaptive Neuro-Fuzzy Inference System to Measure Supply Chain Continuity (The Case of IranKhodro Company),” IRANIAN JOURNAL OF TRADE STUDIES (IJTS), vol. 23, no. 90 , pp. 85–114, 2019, [Online]. Available: https://sid.ir/paper/7313/en

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