Keep it flowing: A supply chain management experiment

In recent years we have witnessed the development of new and improved Information Technology (IT) methods for Supply Chain Management. This study employs decision support techniques in Supply Chain Management scenarios in order to address some of the shortcomings of existing models. A three-step decision structuring framework is used to develop a model based on Bayesian networks. The model is then used to support management risk strategies under different scenarios. In addition, this study provides insights into how decision support, and especially Bayesian networks, can enhance IT methods.