A Validation Study of the Knowledge Based Logistics Planning Shell Using Sensitivity Analysis.

Abstract

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 falrly high level of validity of the model's output.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1994
Accession Number
ADA289770

Entities

People

  • Norman A. Pugh-newby

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Autonomy
  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Central Processing Units
  • Computer Programs
  • Computers
  • Decision Support Systems
  • Experimental Design
  • Graphical User Interface
  • Information Science
  • Information Systems
  • Logistics
  • Logistics Management
  • Logistics Planning
  • Measures Of Effectiveness
  • Operating Systems
  • Statistical Analysis
  • Test And Evaluation
  • Test Methods

Readers

  • Computational Modeling and Simulation
  • Logistics and Supply Chain Management.
  • Regression Analysis.