Rhodes, Benjamin T., Jr.2022-10-282022-10-28196913846395https://hdl.handle.net/10657/12449The purpose of this study was to examine sensitivity analysis as an analytical tool. The method of procedure was to examine the definition, use and techniques of sensitivity analysis. In addition the application of sensitivity analysis was illustrated on models tractable to partial derivative, simulation and linear programming solution methods. As opposed to an analysis of specific problems, the study was a procedure oriented approach. Sensitivity analysis is useful in identifying variables which require precise estimates, and in observing the best and worst possible outcomes of decisions under uncertainty. Three steps were identified which constitute an analysis: (1) determine which variables to examine; (2) establish the range of each variable examined; and (3) determine the measure of sensitivity. The problems of size of the model and interaction of variables are limiting factors in an analysis. Experimental design and linear programming range techniques were illustrated as procedures for resolving such limitations.application/pdfenThis item is protected by copyright but is made available here under a claim of fair use (17 U.S.C. Section 107) for non-profit research and educational purposes. Users of this work assume the responsibility for determining copyright status prior to reusing, publishing, or reproducing this item for purposes other than what is allowed by fair use or other copyright exemptions. Any reuse of this item in excess of fair use or other copyright exemptions requires express permission of the copyright holder.Thesisreformatted digital