Current Issues in Computer Simulation

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