Measuring the Impact of Programmed Depot Maintenance Funding Shortfalls on Weapon System Availability.

Abstract

This study used the Poisson regression technique, bootstrap estimates, and the Kaplan-Meier estimates for survivor curves to determine the impact of Programmed Depot Maintenance (PDM) on weapon system availability. More specifically, these techniques estimated the effect in the number failures per year due to PDM, but the bootstrap technique also estimated the effect in the amount of downtime experienced by a weapon system due to PDM. Although the Poisson regression model did not pass the rigors of statistical testing, the Poisson regression suggested differences in the number of failures per year between PDM and no-PDM weapon systems. The results of the bootstrap estimates for the number of failures per year and amount of downtime per year showed that the no-PDM weapon systems experienced approximately 1.3 failures per year while remaining unserviceable approximately 120 days per year, and PDM weapon systems experienced approximately .3 failures per year while remaining unserviceable approximately 30 days per year. PDM reduced the number of failures per year and drastically reduced weapon system downtime per year. PDM increased weapon system availability from approximately 67 percent to approximately 92 percent.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1996
Accession Number
ADA324256

Entities

People

  • Donald F. Hurry

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Computational Science
  • Data Science
  • Databases
  • Downtime
  • Failure Mode And Effect Analysis
  • Information Science
  • Knowledge Management
  • Logistics
  • Maintenance
  • Maintenance Costs
  • Maintenance Management
  • Probabilistic Models
  • Procurement
  • Statistical Algorithms
  • Statistical Analysis
  • Statistical Inference

Readers

  • Computational Modeling and Simulation
  • Logistics and Supply Chain Management.
  • Mathematics or Statistics