Applied Simulation Modeling (Duxbury Applied Series) - Hardcover

Seila, Andrew; Ceric, Vlatko; Tadikamalla, Pandu

Hardcover

ISBN 10: 0534381596 ISBN 13: 9780534381592

Publisher: Cengage Learning, 1980

Synopsis

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 @Risk are packaged with the text.

About this title

Review

1. INTRODUCTION. Model Building and Decision Making: OR/MS Tools. Simulation as a Tool to Analyze Models. Overview of Simulation Models. 2. SIMULATION CONCEPTS AND SPREADSHEETS. Definition of "Static" Simulation. Several Examples. 3. 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. 4. DYNAMIC SYSTEM MODELS. Definition of Dynamic Systems. Characteristics of Dynamic Simulations. Examples. 5. DISCRETE EVENT SIMULATION. Dynamic Structure: Events and Event Sequencing. Examples. Static Structure: Entities, Attributes, Lists. Examples. Model Verification. 6. SYSTEM MODELING PARADIGMS. What is a Simulation World View? Event View. Activity View. Process View. 7. ARENA AND VISUAL INTERACTIVE SIMULATION. Visual Interactive Simulation (VIS). Overview of Arena. A Simple Queuing System in Arena. The System Modeling Process with Arena. 8. PROBLEM SOLVING USING SIMULATION. Waiting Line Systems (Service Systems). Manufacturing Systems. 9. GRAPHICAL MODELING. Graphical Models. Advantages of Graphical Modeling. Graphical Modeling Techniques. Execution of Graphical Models. 10. SIMULATION SOFTWARE. Types of Simulation Software. Simulation Languages. Simulation Environments. Simulation Libraries. Simulation Software for Special Purposes. 11. 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.

Synopsis

This text was conceived for business students wanting to use simulation to analyze stochastic financial problems and discrete-event models. However, the practical methods developed in the book may be adopted by students in a broad range of disciplines including, social sciences, forestry, agricultural engineering, industrial engineering, and operat

Edition details

• Publisher: Cengage Learning
• Publication date: 1980
• Language: English
• ISBN 10: 0534381596
• ISBN 13: 9780534381592
• Binding: Hardcover
• Number of pages: 494