Presenting a multi agent system for estimating risk in supply chain management

Leila Ahmadpour, Abolfazl Kazemi and Soroush Avakh Darestani

International Journal of Services and Operations Management, 2017, vol. 28, issue 2, 222-242

Abstract: Nowadays, supply chains play an inevitable role in prompt handling of varying customer's needs. Furthermore, with increasing emphasis on vulnerabilities in supply chains, effective mathematical tools for analysing and understanding appropriate supply chain risk evaluation are now attracting more attention. Administration of a successful supply chain depends on how efficiently of the network design is measured and how source risks effect it. This research has two objectives. The first one is to design a multi agent supply chain network that addresses an uncertain environment threatened by different risk sources in order to capture the real world conditions; the second one is to present a methodology for estimating risk in the proposed network. Moreover tree of scenarios are constructed and risk assessment model considering domino effect is built in order to carry out the overall quantitative risk assessment. Then, probability theories are applied in the quantitative method. In conclusion, the key benefits and experience gained from this study and further research opportunity are emphasised.

Keywords: risk estimation; multi agent system; supply chain management; domino effect. (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:ids:ijsoma:v:28:y:2017:i:2:p:222-242

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