Graduation date:Physical experimentation in various scientific and engineering areas continues to be a useful and often necessary approach that is applied in research, development, and for general problem solving. The experimental design process however, is iterative and often involves trial and error. Alternative designs are proposed and evaluated on cost and time requirements. They are also evaluated with respect to various statistical criteria such as statistical power for detecting effects if they exist. Selected experimental design alternatives then continue the design process and undergo additional modifications until the objectives of the experiment appear to be met, or are met as closely as time and cost constraints permit. The objective of this research is to develop a methodology for “Optimal Experimental System Design” where cost and time are integrated with experimental design selection so that optimal cost and time feasible experimental designs can be explored computationally
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