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Reduction of closed queueing networks for efficient simulation
John F. Shortle, Brian L. Mark, Donald Gross
Article No.: 10
This article gives several methods for approximating a closed queueing network with a smaller one. The objective is to reduce the simulation time of the network. We consider Jackson-like networks with Markovian routing and with general service...
Simulation output analysis using integrated paths II: Low bias estimators
James M. Calvin
Article No.: 11
This article is a sequel to a previous article that introduced a class of variance estimators for steady-state simulation output analysis. The estimators were constructed by applying a quadratic function to a vector obtained from iterated...
Finding probably best systems quickly via simulations
Article No.: 12
We propose an indifference-zone approach for a ranking and selection problem with the goal of reducing both the number of simulated samples of the performance and the frequency of configuration changes. We prove that with a prespecified high...
Gradient estimation for a class of systems with bulk services: A problem in public transportation
Bernd Heidergott, Felisa J. Vázquez-Abad
Article No.: 13
This article presents a comparison of different gradient estimators for the sensitivity of waiting times in a bulk server system. Inspired by a transportation network, our model is that of a bursty arrival process that waits at a...
The optimizing-simulator: An illustration using the military airlift problem
Tongqiang Tony Wu, Warren B. Powell, Alan Whisman
Article No.: 14
There have been two primary modeling and algorithmic strategies for modeling operational problems in transportation and logistics: simulation, offering tremendous modeling flexibility, and optimization, which offers the intelligence of math...