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

Leila Ahmadpour, Abolfazl Kazemi, Soroush Avakh Darestani

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


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.
Original languageEnglish
Pages (from-to)222-242
Number of pages21
JournalInternational Journal of Services and Operations Management
Issue number2
Early online date17 Aug 2017
Publication statusPublished - 2017
Externally publishedYes


  • risk estimation
  • supply chain management
  • domino effect


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