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Information Journal Paper

Title

Estimate the reliability of the supplier in the disruption using Bayesian networks and fuzzy approach

Author(s)

naseri pourya | KARIMI GOVARESHAKI MOHAMMAD HOSSEIN | Issue Writer Certificate 

Pages

  197-218

Abstract

 Today, Suppliers have a very important role for companies and organizations and Proper choice of Suppliers can be considered as an important competitive advantage in the market for companies and organizations. Since Suppliers have a close relationship with organizations, their final production and services depend on Suppliers both in terms of quality and cost. One of the solutions in critical situations and disruptions is the use of reliable Suppliers to overcome critical situations and provide raw materials. In this paper, the Reliability of the Supplier is estimated by examining Supplier disturbances and considering the relationship between them and using the Failure Tree Analysis (FTA) technique and transforming it into the Bayesian networks. Fuzzy theory approach is used due to the precision of input information. In this paper, the validation model provided of the two Suppliers of the sub-surface research institute in Isfahan has been evaluated for validation of the model.

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    APA: Copy

    naseri, pourya, & KARIMI GOVARESHAKI, MOHAMMAD HOSSEIN. (2019). Estimate the reliability of the supplier in the disruption using Bayesian networks and fuzzy approach. MODERN RESEARCHES IN DECISION MAKING, 4(1 ), 197-218. SID. https://sid.ir/paper/372367/en

    Vancouver: Copy

    naseri pourya, KARIMI GOVARESHAKI MOHAMMAD HOSSEIN. Estimate the reliability of the supplier in the disruption using Bayesian networks and fuzzy approach. MODERN RESEARCHES IN DECISION MAKING[Internet]. 2019;4(1 ):197-218. Available from: https://sid.ir/paper/372367/en

    IEEE: Copy

    pourya naseri, and MOHAMMAD HOSSEIN KARIMI GOVARESHAKI, “Estimate the reliability of the supplier in the disruption using Bayesian networks and fuzzy approach,” MODERN RESEARCHES IN DECISION MAKING, vol. 4, no. 1 , pp. 197–218, 2019, [Online]. Available: https://sid.ir/paper/372367/en

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