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.
International Journal of Business Performance and Supply Chain Modelling, 2013 Vol.5 No.2, pp.177 - 197
Received: 08 May 2021
Accepted: 12 May 2021
Published online: 24 Apr 2013 *