Mathematics for simulation

Author

Henderson, Shane G.

Author_Institution

Sch. of Operations Res. & Ind. Eng., Cornell Univ., Ithaca, NY, USA

Volume

1

fYear

2001

fDate

2001

Firstpage

83

Abstract

The article surveys several mathematical techniques and results that are useful in the context of stochastic simulation. The concepts are introduced through the study of a simple model of ambulance operation to ensure clarity, concreteness and cohesion. The paper is an updated version of S.G. Henderson (2000), in which performance measures were analysed. The author switches the focus to estimating the densities of random variables related to these performance measures. The goal remains the same as in Henderson (2000), namely to demonstrate mathematical tools and techniques that are useful in simulation analysis

Keywords

digital simulation; health care; modelling; performance evaluation; road vehicles; stochastic processes; transportation; ambulance operation; mathematical techniques; mathematical tools; performance measures; random variables; simple model; simulation analysis; stochastic simulation; Context modeling; Industrial engineering; Mathematics; Operations research; Random variables; State-space methods; Steady-state; Stochastic processes; Stochastic systems; Switches;

fLanguage

English

Publisher

ieee

Conference_Titel

Simulation Conference, 2001. Proceedings of the Winter

Conference_Location

Arlington, VA

Print_ISBN

0-7803-7307-3

Type

conf

DOI

10.1109/WSC.2001.977249

Filename

977249