Demand disturbances in service businesses are typically managed by resource actions such as hiring, releasing and cross training of the workforce. The magnitudes of resource actio...
Assessing tram schedules is important to assure an efficient use of infrastructure and for the provision of a good quality service. Most existing infrastructure modeling tools pr...
We extend the basic theory of kriging, as applied to the design and analysis of deterministic computer experiments, to the stochastic simulation setting. Our goal is to provide fl...
Computer simulation is effective in improving the efficiency of manufacturing system design, operation, and maintenance. Most simulation models are usually tailored to address a n...
Over the 50 year history of discrete event simulation the growth in applications has been facilitated by some key advances in modeling that have simplified the process of building...
Discrete event simulation (DES) projects rely heavily on high input data quality. Therefore, the input data management process is very important and, thus, consumes an extensive a...
It is well known that trivariate reduction — a method to generate two dependent random variables from three independent random variables — can be used to generate Poisson rand...
The design of complex artificial populations is the first step in simulating evolution during the time span of socioeconomic variables as the family income. In this paper, a new h...
Creation of an Outpatient Procedure Center (OPC) is a complicated endeavor, requiring a detailed understanding of the resources available and the procedures to be performed. Misca...
Todd R. Huschka, Brian T. Denton, Bradly J. Narr, ...
Photolithography is generally regarded as the most constraining element in semiconductor manufacturing. This is primarily attributable to the high capital investment and extensive...