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Simulation Modeling and Analysis

TLDR
The text is designed for a one-term or two-quarter course in simulation offered in departments of industrial engineering, business, computer science and operations research.
Abstract
From the Publisher: This second edition of Simulation Modeling and Analysis includes a chapter on "Simulation in Manufacturing Systems" and examples. The text is designed for a one-term or two-quarter course in simulation offered in departments of industrial engineering,business,computer science and operations research.

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Citations
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Journal ArticleDOI

Accounting for Parameter Uncertainty in Simulation Input Modeling

Faker Zouaoui, +1 more
- 01 Sep 2003 - 
TL;DR: A Bayesian approach to probabilistic input modeling for simulation experiments that accounts for the parameter and stochastic uncertainties inherent in most simulations and that yields valid predictive inferences about outputs of interest is formulated and evaluated.
Proceedings Article

Assessing Solution Quality in Stochastic Programs.

TL;DR: This paper develops Monte Carlo sampling-based procedures for assessing solution quality in stochastic programs and proposes using ɛ-optimal solutions to strengthen the performance of these procedures.
Proceedings ArticleDOI

Towards improved dispatching rules for complex shop floor scenarios: a genetic programming approach

TL;DR: The priority rules generated by GP are evaluated on dynamic job shop scenarios from literature and compared with manually developed rules yielding very promising results also interesting for Simulation Optimization in general.
Journal ArticleDOI

On using surrogates with genetic programming

TL;DR: This paper proposes using a phenotypic characterization of the genotype directly as input to the surrogate model, and shows how these ideas can be used to construct surrogate models and improve the convergence speed and solution quality of genetic programming (GP).
Book

Manufacturing Systems Modeling and Analysis

TL;DR: This textbook makes accessible to undergraduates and beginning graduates many of the seemingly esoteric results of queueing theory, and indicates how to apply queueing approximations for the analysis of manufacturing systems.