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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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Centralization vs. Decentralization in a Multi-Unit Organization: A Computational Model of a Retail Chain as a Multi-Agent Adaptive System

TL;DR: In this article, a computational model of a retail chain is developed in which store managers continually search for better practices and search takes place over a rugged landscape defined over the space of store practices.

Efficient nearly orthogonal and space-filling experimental designs for high-dimensional complex models

TL;DR: This dissertation develops a set of experimental designs for search over as many as 22 variables in as few as 129 runs, which combine orthogonal Latin hypercubes and uniform designs to create designs having near orthogonality and excellent space-filling properties.
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Statistical validation of simulation models

TL;DR: This article illustrates issues through a case study, namely a simulation model for the use of sonar to search for mines on the sea bottom, which applies to models in general.

Business process simulation : how to get it right?

TL;DR: In this article, a new way of characterizing resource availability is proposed to capture human behavior in business processes in a much better way, by incorporating better resource characterizations in contemporary tools, business process simulation can deliver on its outstanding promise.
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SimQPN: a tool and methodology for analyzing queueing Petri net models by means of simulation

TL;DR: SimQPN is presented--a simulation tool for QPNs that provides an alternative approach to analyze QPN models, circumventing the state space explosion problem and proposes a methodology for analyzing QPN model analysis by means of discrete event simulation.