A Mathematical Model for Analyzing Medicine Supply Chains System Interactive Risks Using Bayesian Belief Networks

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Zareie Azim allah; Shakeri Mahdi; AZAR ADEL; MALEKI MORTEZA

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Journal: ORGANIZATIONAL RESOURCES MANAGEMENT RESEARCH Year:2019 | Volume:9 | Issue:1 Page(s): 141-163

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Title

A Mathematical Model for Analyzing Medicine Supply Chains System Interactive Risks Using Bayesian Belief Networks

Author(s)

Zareie Azim allah | Shakeri Mahdi | AZAR ADEL | MALEKI MORTEZA | Issue Writer Certificate

Keywords

interactive risks of Supply Chain systemQ1

bayesian belief networksQ1

mathematical modelingQ1

Abstract

Risk and failure in the supply chain can have a significant and negative effect on the short-term and long-term performance of the participants in the chain. Therefore, this research has an innovative look for a mathematical model for analyzing the interactive risks of the supply chain system using bayesian belief networks. The study is descriptive in terms of purpose and has descriptive nature. The research community is classified into the two categories of academic experts and operational experts. In this research, information on the drug supply chain of the Imam Reza Hospital of Mashhad was obtained and analyzed using the bayesian belief network modeling process. The findings of this study show that bayesian belief networks are much better than traditional risk analysis methods, because it can analyze basic risk analysis, including risk ranking and scenario analysis, and other essentials. BBN can also display different uncertainties in the language of probabilities with an appropriate visual form and provide more comprehensive view of the supply chain conditions and its risks...

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APA: Copy

Zareie, Azim allah, Shakeri, Mahdi, AZAR, ADEL, & MALEKI, MORTEZA. (2019). A Mathematical Model for Analyzing Medicine Supply Chains System Interactive Risks Using Bayesian Belief Networks. ORGANIZATIONAL RESOURCES MANAGEMENT RESEARCH, 9(1 ), 141-163. SID. https://sid.ir/paper/366647/en

Vancouver: Copy

Zareie Azim allah, Shakeri Mahdi, AZAR ADEL, MALEKI MORTEZA. A Mathematical Model for Analyzing Medicine Supply Chains System Interactive Risks Using Bayesian Belief Networks. ORGANIZATIONAL RESOURCES MANAGEMENT RESEARCH[Internet]. 2019;9(1 ):141-163. Available from: https://sid.ir/paper/366647/en

IEEE: Copy

Azim allah Zareie, Mahdi Shakeri, ADEL AZAR, and MORTEZA MALEKI, “A Mathematical Model for Analyzing Medicine Supply Chains System Interactive Risks Using Bayesian Belief Networks,” ORGANIZATIONAL RESOURCES MANAGEMENT RESEARCH, vol. 9, no. 1 , pp. 141–163, 2019, [Online]. Available: https://sid.ir/paper/366647/en

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