COMPLETE SYSTEM ANALYSIS: QUANTITATIVE SYSTEM ANALYSIS, COMPUTER SIMULATION, AND SYSTEM OPTIMIZATION
MCDONNELL DOUGLAS ASTRONAUTICS CO-WEST SANTA MONICA CA
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Many systems and processes in use today are quite complex, and experimentation regarding them is both difficult and expensive. For such systems or processes, mathematical solution for outputs in terms of inputs is usually not feasible, and computer simulation is often an effective and efficient complement to experimentation. Complete system analysis is a general approach to the coordination of experimentation and computer simulation in the analysis and optimization of a system or process. In addition, it is somewhat novel in its approach. Three basic stages of complete system analysis are quantitative system analysis, computer simulation, and system optimization. Quantitative system analysis transforms qualitative elements of the system into numerical form, and constructs a system model for relationships among component parts of the system. It is a comprehensive and definitive approach to model construction. It is followed by computer simulation transforming the model, which is a mathematical representation of the system, into a simulation computer program, which is a computer representation of the system. Experimentation with the system may then be complemented by computer simulation of the system. Finally, system optimization is accomplished by the optimization of a meaningful measure of system effectiveness.
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