Current Issues in Computer Simulation
Published on 9. May 2014
312 pages
978-1-4832-5803-4 (ISBN)
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.
More details
Other editions
Additional editions
Nabil R. Adam | Ali Dogramaci
Current Issues in Computer Simulation
Book
01/1979
Academic Press
€61.29
Article exhausted; check different version
Content
List of ContributorsPrefaceAcknowledgmentsPart 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 ReferencesPart 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 ReferencesPart 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.
