Simulation Model Simplification Techniques
Article Abstract:
Simplification consists of brevity, clarity, and efficiency. When applied to model simulation, simplification can produce procedures that cost less, are easier to combine with other models, have fewer input requirements, and are more easily interpreted. One may conceptualize five steps in modeling: 1) the formulation of objectives, 2) the formulation of hypotheses, 3) formulation of mathematical statements of the hypotheses and analytic procedures, 4) coding into computer language, and 5) the experiments. Fifteen aspects or techniques related to simulation modeling can simplify a model; the techniques apply to one of the last four steps. System organization, filtering, stochastic nature and graph theory relate to the hypotheses. Sensitivity based results, structure and logic analysis, dimensional analysis, Repro-Meta modeling, time constraints, analytical solutions, interdependencies, perturbation methods, and calculation of output moments refer to formulation of the mathematical statements. Languages and coding improvements refer to coding, and variance reduction and linear systems techniques apply to the experiment.Photographs of the authors and a flow chart for carrying out the simplification are included.
Publication Name: SIMULATION
Subject: Engineering and manufacturing industries
ISSN: 0037-5497
Year: 1983
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The Use of Simulation Techniques in Dynamic Input-Output Modeling
Article Abstract:
Static input-output has been used for many years by economists and others, to explore various aspects of the economy and the interrelation of economic factors. These static models, however, did not allow for the analysis of a problem when there are significant changes in the relationships between variables. A dynamic input-output model which corrects this problem has been developed. Using simulation techniques and a mass-balance concept, the model has been applied to an analysis of the impact of timber harvesting increases in Oregon. The program is written using the GASP IV Simulation Language. This language can accomodate the use of both discrete and continuous time features. The use of simulation techniques facilitates the large amount of calculation a dynamic model involves. Because of the value of a dynamic model in many applications, further research is recommended. A diagram of a mass-balance economy model, flow chart for the GASP IV program, and graphs of the results of the application problem are given.
Publication Name: SIMULATION
Subject: Engineering and manufacturing industries
ISSN: 0037-5497
Year: 1983
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Techniques for sensitivity analysis of simulation models: a case study of the CO2 greenhouse effect
Article Abstract:
Sensitivity analysis is needed for validation, what-if analysis, and optimization of complicated simulation models. One set of techniques for sensitivity analysis consists of least squares curve fitting, regression analysis, and statistical designs such as factorial designs. In this case study these techniques are applied to several modules of a large integrated assessment model for the greenhouse effect, developed in The Netherlands. The regression models turn out to be valid approximations to the simulation models. Some estimated effects are quite surprising for the simulation users. (Reprinted by permission of the publisher.)
Publication Name: SIMULATION
Subject: Engineering and manufacturing industries
ISSN: 0037-5497
Year: 1992
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