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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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Proceedings ArticleDOI

Recent advances in ranking and selection

TL;DR: This tutorial focuses on indifference-zone R&S procedures that provide a guaranteed probability of correct selection when the best system is at least a user-specified amount better than the other systems.
Proceedings ArticleDOI

Simulation for emergency response: a framework for modeling and simulation for emergency response

TL;DR: In this paper, the authors propose a framework for integration of modeling, simulation, and visualization tools for emergency response, which will significantly improve the nation's capability in the emergency response area.
Journal ArticleDOI

A procedure for selecting a subset of size m containing the l best of k independent normal populations, with applications to simulation

TL;DR: In this article, a two-stage sampling procedure for selecting a subset of size m containing the t best of k independent normal populations, when the ranking parameters are the population means, is presented.
Journal ArticleDOI

Principles of Pharmacoeconomic Analysis of Drug Therapy

TL;DR: This article outlines some of the basic principles of pharmacoeconomic analysis, a family of techniques used in economic analyses that have become increasingly important in healthcare in general and with respect to pharmaceuticals in particular.
Journal ArticleDOI

Optimization of simulated systems: OptQuest and alternatives

TL;DR: This article illustrates the general problem known as ‘simulation optimization’ through an (s, S) inventory management system, where the goal function to be minimized is the expected value of specific inventory costs.