Title: Supply chain performance monitoring using Bayesian network

Authors: Meysam Maleki; V. Cruz-Machado

Addresses: UNIDEMI, Department of Mechanical and Industrial Engineering, Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa, Campus Universitário, 2829-516 Caparica, Portugal ' UNIDEMI, Department of Mechanical and Industrial Engineering, Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa, Campus Universitário, 2829-516 Caparica, Portugal

Abstract: 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.

Keywords: supply chain performance; performance monitoring; performance measures; Bayesian network; data modelling; supply chain management; SCM.

DOI: 10.1504/IJBPSCM.2013.053492

International Journal of Business Performance and Supply Chain Modelling, 2013 Vol.5 No.2, pp.177 - 197

Published online: 24 Apr 2013 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article