Supply chain performance monitoring using Bayesian network

Meysam Maleki, V. Cruz-Machado

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)


Performance measures of supply chain have been investigated through recent scholar works and different tools have been proposed to follow, monitor, and analyse them. This research addresses the embedded uncertainty as well as mutual dependency among supply chain performance measures and proposes employing Bayesian network (BN) to monitor them. BN has been successfully used in related areas, however, in this particular context it is lacking in published literature. In addition, a framework is proposed to provide researchers and practitioners with step by step procedure of developing BN to monitor the performance measures of their supply chain. Finally, a case study is presented, which takes advantage of proposed methodology and follows the framework.

Original languageEnglish
Pages (from-to)177-197
Number of pages21
JournalInternational Journal of Business Performance and Supply Chain Modelling
Issue number2
Publication statusPublished - 1 Jan 2013


  • Bayesian network
  • Data modelling
  • Performance measure
  • Supply chain


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