Factory physics provides a systematic description, expressed as laws, of the underlying behavior of a system. These laws can provide important assistance in performing simulation ...
This paper develops a variant of Simulated Annealing (SA) algorithm for solving discrete stochastic optimization problems where the objective function is stochastic and can be eva...
Calvin and Nakayama previously introduced permuting as a way of improving existing standardized time series methods. The basic idea is to split a simulated sample path into nonove...
Stochastic Petri nets (SPNs) have proven to be a powerful and enduring graphically-oriented framework for modelling and performance analysis of complex systems. This tutorial focu...
Agent-based modeling is a framework that allows the analysis of distributed command-by-influence using mission-type orders known for over a century as Auftragstaktik in German Arm...