A validation study of the Knowledge Based Logistics Planning Shell using sensitivity analysis
Pugh-Newby, Norman A.
Lindsay, Glenn F.
Bailey, Michael P.
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This thesis seeks to conduct a limited validation study of the Knowledge Based Logistics Planning Shell using the method of sensitivity analysis. Three parameters of the model (unit size, battle intensity, and consumer residual percentage) are varied within the context of a 2 X 3 X 3 fixed factorial model. Measurements of three measures of effectiveness: (1) Time to run demand generator, (2) Time to run distribution planner, and (3) Percentage fill of orders generated are used as data for the study. The data is analyzed using graphical and non-parametric statistical techniques. The intuitiveness of the observed sensitivities based on their magnitude, direction and range are used to assess the validity of the data generated by this model. The results of the study suggested a fairly high level of validity of the model's output.
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