Dynamic System Renewal Planning Model

Abstract

This thesis purposes a framework by which optimal system renewal decisions may be made in a consistent and timely manner within the military, under realistic conditions of changing environments. A unique network representation of the system renewal process was used to develop a prototype version of the analytical core model. Its plausibility and usefulness was demonstrated by a series of case studies. The case studies also show how pertinent staff forecasts can be organized and integrated to provide decision makers with a broad, consistent, long-term perspective of the issues relevant to system renewal planning. They are presented with a graphic picture of the entire solution space as structured by the scenarios considered. Various solutions are suggested for each scenario and their robustness may be tested by thoroughly exercising the model for a wide range of scenarios. Prediction of what and when renewals are likely to be and estimation of the associated cost and effectiveness allow anticipatory long-term plans to be formulated. The thesis also suggests how bulk versus phased procurement decisions and force level and mix issues could be analysed using the model. Keywords: Dynamic programming; Lagrangian relaxation; Prototype design; Computer program listings.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1989
Accession Number
ADA219879

Entities

People

  • Cheng-hwee Sim

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acquisition
  • Air Force
  • Attack Aircraft
  • Case Studies
  • Classification
  • Climate Change
  • Computer Programs
  • Fighter Aircraft
  • Literature Surveys
  • Models
  • Operations Research
  • Organizational Structure
  • Procurement
  • Prototypes
  • Risk Analysis
  • Test And Evaluation
  • Three Dimensional

Readers

  • Computational Modeling and Simulation
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.
  • Theoretical Analysis.

Technology Areas

  • Space