Integration of supply chain performance with customer values through combining analytical network process and Bayesian network

Abstract

Development of integration model for supply chain has been the concern of many scholars in the new century. Although a comprehensive integration model is not yet developed. However, different research works has shed light on different aspects of it .This research propose combination of analytical network process and Bayesian network to generate a novel supply chain integration model. Analytical network process is used in the enterprise side of the model where experts study applicable practices while Bayesian network is employed on the downstream end where end customer is receiving outputs (product / services). Combining these two methods enables supply chains to prioritize practices based on end customer preferences resulting in higher customer perceived values. In addition, the marginal benefit is reduction of over production as the most harmful waste.