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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

Some topics for simulation optimization

TL;DR: A tutorial introduction to simulation optimization is given by classifying the problem setting according to the decision variables and constraints, putting the setting in the simulation context, and then summarize the main approaches to Simulation optimization.
Journal ArticleDOI

Predicting the performance of rescheduling strategies for parallel machine systems

TL;DR: In this article, the authors present new analytical models that can predict the performance of rescheduling strategies and quantify the trade-offs between different performance measures in dynamic, stochastic manufacturing systems.
Journal ArticleDOI

A collisionless multiple access protocol for a wavelength division multiplexed star-coupled configuration: architecture and performance analysis

TL;DR: In this article, a collisionless wavelength division multiple access (WDMA) protocol for a passive star-coupled photonic network is introduced and shown to possess significant performance and flexibility advantages.

Microbial Risk Assessment Guideline: Pathogenic Microorganisms with Focus on Food and Water

Ord, +1 more
TL;DR: This microbial risk assessment guidance document is written for risk assessors from participating federal agencies to improve the quality and consistency of microbial risk assessments.
Proceedings Article

Simulation-based optimization: practical introduction to simulation optimization

TL;DR: This paper summarizes some of the most relevant approaches that have been developed for the purpose of optimizing simulated systems and focuses on the metaheuristic black-box approach that leads the field of practical applications.