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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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Book ChapterDOI

Economic Principles, Issues, and Research Priorities in Hazard Loss Estimation

TL;DR: The quantification of economic losses from natural and manmade hazards is necessary to gauge individual and community vulnerability, evaluate the worthiness of mitigation, determine the appropriate level of disaster assistance, improve recovery decisions, and inform insurers of their potential liability as mentioned in this paper.
Journal ArticleDOI

Taxonomic classification of planning decisions in health care: a structured review of the state of the art in OR/MS

TL;DR: A comprehensive overview of the typical decisions to be made in resource capacity planning and control in health care, and a structured review of relevant articles from the field of Operations Research and Management Sciences (OR/MS) for each planning decision.
Proceedings ArticleDOI

Evaluating the benefits of augmented reality for task localization in maintenance of an armored personnel carrier turret

TL;DR: A qualitative survey showed mechanics found the augmented reality condition intuitive and satisfying for the tested sequence of tasks, and in some instances, resulted in less overall head movement.
Journal ArticleDOI

Modeling good research practices--overview: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force-1.

TL;DR: This series of seven papers presents the updated recommendations for best practices in conceptualizing models; implementing state–transition approaches, discrete event simulations, or dynamic transmission models; dealing with uncertainty; and validating and reporting models transparently.
Journal ArticleDOI

The application of discrete event simulation and system dynamics in the logistics and supply chain context

TL;DR: The findings suggest that DES has been used more frequently to model supply chains, with the exception of the bullwhip effect, which is mostly modelled using SD.