Decision making in complex environments in the face of uncertain and missing information is a daunting task. We describe a modeling and simulation based approach to providing plan...
W. Scott Neal Reilly, Sean L. Guarino, Bret Kellih...
Proposed and developed is a service composition framework for decision-making under uncertainty, which is applicable to stochastic optimization of supply chains. Also developed is ...
Assembly lines with closed loop parallel lanes have the potential to continue to be productive when individual stations breakdown. A requirement in such parallel lane systems is t...
With the proliferation of robotics in industry, education and entertainment, artificial intelligent robots challenge the way we think about relationships between humans and machin...
This paper summarizes new analytical and empirical results for the economic approach to simulation selection problems that we introduced two years ago. The approach seeks to help ...