Handbooks in Operations Research and Management Science: Simulation

Shane G. (School of Operations and Industrial Engineering Henderson

ISBN 10: 0444514287 / ISBN 13: 9780444514288

Published by Elsevier Science & Technology Sep 2006, 2006

About this Item

Neuware - This Handbook is a collection of chapters on key issues in the design and analysis of computer simulation experiments on models of stochastic systems. The chapters are tightly focused and written by experts in each area. For the purpose of this volume simulation refers to the analysis of stochastic processes through the generation of sample paths (realization) of the processes. Attention focuses on design and analysis issues and the goal of this volume is to survey the concepts, principles, tools and techniques that underlie the theory and practice of stochastic simulation design and analysis. Emphasis is placed on the ideas and methods that are likely to remain an intrinsic part of the foundation of the field for the foreseeable future. The chapters provide up-to-date references for both the simulation researcher and the advanced simulation user, but they do not constitute an introductory level how to guide. Computer scientists, financial analysts, industrial engineers, management scientists, operations researchers and many other professionals use stochastic simulation to design, understand and improve communications, financial, manufacturing, logistics, and service systems. A theme that runs throughout these diverse applications is the need to evaluate system performance in the face of uncertainty, including uncertainty in user load, interest rates, demand for product, availability of goods, cost of transportation and equipment failures. \* Tightly focused chapters written by experts\* Surveys concepts, principles, tools, and techniques that underlie the theory and practice of stochastic simulation design and analysis\* Provides an up-to-date reference for bothsimulation researchers and advanced simulation users.

Seller Inventory # 9780444514288

Bibliographic Details

• Title: Handbooks in Operations Research and Management Science: Simulation
• Publisher: Elsevier Science & Technology Sep 2006
• Publication Date: 2006
• Language: English
• ISBN 10: 0444514287
• ISBN 13: 9780444514288
• Binding: Buch
• Condition: Neu
• Dimensions: 240W x 165H x 0D millimeters 240 millimeters width by 165 millimeters height by 0 millimeters depth
• Weight: 1410 grams

About this title

Synopsis

This Handbook is a collection of chapters on key issues in the design and analysis of computer simulation experiments on models of stochastic systems. The chapters are tightly focused and written by experts in each area. For the purpose of this volume “simulation” refers to the analysis of stochastic processes through the generation of sample paths (realization) of the processes. Attention focuses on design and analysis issues and the goal of this volume is to survey the concepts, principles, tools and techniques that underlie the theory and practice of stochastic simulation design and analysis. Emphasis is placed on the ideas and methods that are likely to remain an intrinsic part of the foundation of the field for the foreseeable future. The chapters provide up-to-date references for both the simulation researcher and the advanced simulation user, but they do not constitute an introductory level ‘how to’ guide. Computer scientists, financial analysts, industrial engineers, management scientists, operations researchers and many other professionals use stochastic simulation to design, understand and improve communications, financial, manufacturing, logistics, and service systems. A theme that runs throughout these diverse applications is the need to evaluate system performance in the face of uncertainty, including uncertainty in user load, interest rates, demand for product, availability of goods, cost of transportation and equipment failures.

* Tightly focused chapters written by experts* Surveys concepts, principles, tools, and techniques that underlie the theory and practice of stochastic simulation design and analysis* Provides an up-to-date reference for both simulation researchers and advanced simulation users

Book Description

Volume 13 of the popular series!