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Applied Simulation Modeling

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ISBN-10: 0534381596

ISBN-13: 9780534381592

Edition: 2003

Authors: Andrew Seila, Pandu Tadikamalla, Vlatko Ceric

List price: $290.95
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APPLIED SIMULATION MODELING provides the student with both a conceptual introduction to the concepts of simulation modeling and practical experience with real examples using popular commercial simulation packages ARENA and @Risk. The coverage includes Risk Simulation, Dynamic Systems, and Discrete Event Simulation models. Throughout the text, the authors show readers how they can use simulation in the context of decision making. Practical examples from Operations Management, Manufacturing, Health Care, and Finance are included throughout to give students an appreciation for the wide scope of application and the robust nature of simulation modeling. Special student editions of ARENA and…    
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Book details

List price: $290.95
Copyright year: 2003
Publisher: Brooks/Cole
Publication date: 2/26/2003
Binding: Hardcover
Pages: 494
Size: 7.25" wide x 9.00" long x 0.75" tall
Weight: 2.046
Language: English

Model Building and Decision Making: OR/MS Tools
Simulation as a Tool to Analyze Models
Overview of Simulation Models
Simulation Concepts and Spreadsheets
Definition of "Static" Simulation
Several Examples
Financial Models and Risk Analysis Using @Risk
An Insurance Model to Estimate Loss Ratio
A Model for Stock (or Bond) Valuation
Option Pricing
A Portfolio Model
Dynamic System Models
Definition of Dynamic Systems
Characteristics of Dynamic Simulations
Discrete Event Simulation
Dynamic Structure: Events and Event Sequencing
Static Structure: Entities, Attributes, Lists
Model Verification
System Modeling Paradigms
What is a Simulation World View? Event View
Activity View
Process View
Arena and Visual Interactive Simulation
Visual Interactive Simulation (VIS)
Overview of Arena
A Simple Queuing System in Arena
The System Modeling Process with Arena
Problem Solving Using Simulation
Waiting Line Systems (Service Systems)
Manufacturing Systems
Graphical Modeling
Graphical Models
Advantages of Graphical Modeling
Graphical Modeling Techniques
Execution of Graphical Models
Simulation Software
Types of Simulation Software
Simulation Languages
Simulation Environments
Simulation Libraries
Simulation Software for Special Purposes
Considerations in Large-Scale Simulation
The Nature of Real-World Models
The Simulation Process
The Team Approach and the Need for Expertise
Working with Clients
Data Collection and Measurement
Model Organization: Submodels
Model Development and Testing
Evolutionary Model Building
A Case Study