This paper investigates the effects of demand risk on the performance of supply chain in continuous time setting. The inventory level has been modeled as a jump-diffusion process ...
Abstract. Two approaches have been used to perform approximate inference in Bayesian networks for which exact inference is infeasible: employing an approximation algorithm, or appr...
Scalability is recognized as a key challenge in the automated analysis of Feature Models (FMs). Current solutions in this context mainly propose using different logic paradigms as...
Mesh interconnect can be efficiently utilized while tree networks encourage the short routing distances. In this paper, we present the property analysis of a cluster-based interc...