Decision support under uncertainties based on robust Bayesian networks in reverse logistics management

Eduard Shevtshenko, Yan Wang
2009 International journal of computer applications in technology  
One of the major challenges for product lifecycle management systems is the lack of integrated decision support tools to help decision-making with available information in collaborative enterprise networks. Uncertainties are inherent in such networks due to lack of perfect knowledge or conflicting information. In this paper, a robust decision support approach based on imprecise probabilities is proposed. Robust Bayesian belief networks with interval probabilities are used to estimate imprecise
more » ... osterior probabilities in probabilistic inference. This generic approach is demonstrated with decision-makings in design for closed-loop supply chain. The ultimate goal of robust intelligent decision support systems is to enhance the effective use of information available in collaborative engineering environments.
doi:10.1504/ijcat.2009.028047 fatcat:er5gwmuxvjb2xl7ur7qabhkkam