Research in parallel simulation has been around for more than two decades. However, the number of papers reporting on its application to real world problems is limited. At the 200...
Reinforcement Learning (RL) is a simulation-based technique useful in solving Markov decision processes if their transition probabilities are not easily obtainable or if the probl...
This paper develops procedures for selecting a set of normal populations with unknown means and unknown variances in order that the final subset of selected populations satisfies ...
Medical Imaging Centers (MIC) are critical units in every hospital or medical center because they are an important step in generating a patient's diagnostic. This paper shows...
Francisco J. Ramis, Felipe F. Baesler, Edgar Berho...
Building a simulation model for any large complex system requires high expertise and effort. These requirements can be reduced through building generic simulation capability that ...
In utilizing the technique of stratification, the user needs to first partition/stratify the sample space; the next task is to determine how to allocate samples to strata. How to ...
In the past decade there has been an explosion in the use of system dynamics modeling in healthcare. Despite this, the approach is still far less well known than discreteevent sim...
Experienced and wise industrial engineering educators and practitioners have long understood that industrial engineering is a coherent discipline encompassing techniques that work...
Karthik Krishna Vasudevan, Ravindra Lote, Edward J...
Our focus is on efficient estimation of tail probabilities of sums of correlated lognormals. This problem is motivated by the tail analysis of portfolios of assets driven by corre...
Jose Blanchet, Sandeep Juneja, Leonardo Rojas-Nand...
A problem in health care is the lengthy waiting time for patients to receive an appointment. Long appointment delays cause patient dissatisfaction with the health care clinic and ...