Current Issues in Computer Simulation

Current Issues in Computer Simulation

1st Edition - January 28, 1979

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  • Editors: Nabil R. Adam, Ali Dogramaci
  • eBook ISBN: 9781483258034

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Description

Current Issues in Computer Simulation is a collection of papers dealing with computer simulation languages, statistical aspects of simulation, linkage with optimization and analytical models, as well as theory and application of simulation methodology. Some papers explain the General Purpose Simulation System (GPSS), a programming package incorporating a language to simulate discrete systems; and the SIMSCRIPT, a general-purpose simulation language using English commands, for example, FORTRAN. Another simulation language is the General Activity Simulation Program (GASP), providing for an organizational structure to build models to simulate the dynamic performance of systems on a digital computer. Other papers discuss simulation models of real systems, including corporate simulation models, multistage consumer choice process, determination of maximum occupancy for hospital facilities, and the juvenile court system. Many computer simulations are statistical sampling experiments performed on a model of the system under investigation. Other papers discuss some of the variables involved in the statistical design and analysis of simulation experiments such as variance reduction techniques, generation of random variates, and experimental layout. For example, one application simulates inventory systems when many items are stocked in various locations. The collection is suitable for programmers, computer engineers, businessmen, hospital administrators, schools officials, and depositories of huge volumes of information or data.

Table of Contents


  • List of Contributors

    Preface

    Acknowledgments

    Part 1 Computer Simulation Languages

    Chapter 1 Issues in Simulation Languages: A Brief Overview

    I. Introduction

    II. Simulation Languages: Some Basic Characteristics

    III. Simulation Languages: Some Research and Development Related Issues

    IV. Summary

    References

    Chapter 2 The Design of the GPSS Language

    I. Introduction

    II. The Nature of the GPSS Language

    III. GPSS Examples

    IV. Origins of GPSS

    V. Block Diagram Languages

    VI. The GPSS Simulation Algorithm

    VII. Conclusions

    References

    Chapter 3 Simscript: Past, Present, and Some Thoughts about the Future

    I. The Simscript Languages

    II. Basic Concepts

    III. An Example

    IV. Some Thoughts about the Future

    References

    Chapter 4 GASP: Present Status and Future Prospects

    I. Introduction

    II. Modeling Philosophy Embodied in GASP

    III. GASP Organization for Continuous Modeling

    IV. GASP Organization for Discrete Models

    V. GASP Organizational Structure for Combined Simulation

    VI. Applications

    VII. Current Research and Developments

    VIII. Discussion

    References

    Chapter 5 Comparison of Future Event Set Algorithms for Simulations of Closed Queueing Systems

    I. Introduction

    II. Algorithms Evaluated

    III. Models

    IV. Methodology

    V. Results and Conclusions

    References

    Chapter 6 Model Representation in Discrete Event Simulation: Prospects for Developing Documentation Standards

    I. The Issues

    II. Previous Work in Simulation Model Representation

    III. Conical Methodology: Rationale and Overview

    IV. Simulation Model Specification and Documentation Language

    V. Summary

    References

    Part 2 Simulation Applications

    Chapter 7 Applications of Simulation

    I. Introduction

    II. Objectives of Simulation

    III. Some Issues in Simulation Applications

    References

    Chapter 8 Corporate Simulation Models

    I. Introduction

    II. Optimization

    III. Risk Analysis

    IV. Production Planning Models

    V. Computer Software

    VI. Practical Problems

    VII. Summary and Conclusions

    Appendix: Elements of a Planning and Modeling System

    References

    Chapter 9 Microsimulation of a Multistage Consumer Choice Process

    I. Introduction

    II. The Choice Set (or Evoked Set) {k}

    III. The Preference Vector {Pik}

    IV. Shape of Market {Sk}

    V. The Two-Stage Dynamic System

    VI. Conclusion

    References

    Chapter 10 The Use of Simulation in the Determination of Maximum Occupancy for Hospital Facilities

    I. Introduction

    II. Methodology

    III. Results

    IV. Summary

    References

    Chapter 11 Simulating the Behavioral Implications of a National Computer Research Network

    I. Introduction

    II. Network Organization

    III. Project Overview

    IV. The Simulation Model

    V. Initial Simulation Experiments

    VI. Gaming Session

    VII. Summary

    References

    Chapter 12 The Juvenile Court System: A Simulation Approach

    I. Introduction

    II. Overall Models

    III. Court Models

    IV. The Juvenile Court Model (JCM)

    V. Findings

    VI. Summary and Conclusions

    References

    Part 3 Simulation: Statistical Aspects and Linkage to Analytical Models

    Chapter 13 Statistical and Analytical Models in Simulation

    Chapter 14 On Simulating Inventory Systems Where Demand Is Backlogged

    I. Introduction

    II. Shifting the Inventory Distribution

    III. Statistical Reliability

    IV. Conclusion

    Appendix-Counterexample

    References

    Chapter 15 On Using Simulation to Extend OR/MS Theory: The Symbiosis of Simulation and Analysis

    I. Introduction

    II. Building Theory with Analysis and Simulation

    III. Examples of the Use of Simulation and Analysis Together

    IV. Examples Where Simulation and Analysis Could Have Been Used Together

    V. Generation of Exogenous Events

    VI. Summary

    References

    Chapter 16 Designing Correlation Induction Strategies for Simulation Experiments

    I. Background and Notation

    II. Design Criteria

    III. Results for Orthogonally Blockable Designs

    IV. An Invariance Property

    V. Designing Correlation Induction Strategies

    VI. A Simple Application

    VII. A More Interesting Application

    VIII. Summary

    References

    Chapter 17 A Variance Reduction Technique That Increases Regeneration Frequency

    I. Introduction

    II. Derivation of the Modified Markov Chain

    III. Numerical Discussion

    IV. Conclusions

    References

    Chapter 18 Simulation of Bivariate Distributions with Given Marginal Distribution Functions

    I. Introduction

    II. Correlation Measures

    III. The Normal Method

    IV. The Uniform Method

    V. Uniqueness of Generation Methods and Extensions

    VI. An Example of Simulation

    Appendix

    References

    Author Index

    Subject Index

Product details

  • No. of pages: 312
  • Language: English
  • Copyright: © Academic Press 1979
  • Published: January 28, 1979
  • Imprint: Academic Press
  • eBook ISBN: 9781483258034

About the Editors

Nabil R. Adam

Ali Dogramaci

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