An Alternative Forecasting Method for Drive

Abstract

The purpose of this thesis was to determine the effect of using base specific demand rates in the DRIVE model. There were two research objectives: (1) Determine if DRIVE's repair priorities significantly change due to demand variations. (2) Determine how DROVE's repair priorities change by using base specific demand rates instead of worldwide demand rates. This study compared the quarterly repair lists DRIVE recommended using worldwide demands versus base demands for the F-16A. Several depot repair hour constraints were used to see how the repair lists changed given different manhour constraints. The research revealed that using base specific demands (DO28) in the DRIVE model instead of worldwide demands (DO41) significantly changes the quarterly depot repair priorities. For the third and fourth quarters of 1987, the DO28 forecasts recommended less quantities of the critical LRUs for repair but did not recommended less quantities of SRUs for repair across all of the critical SRUs. The DO28 forecasts also required fewer repair hours to satisfy the optimal number of LRUs DRIVE recommended for repair.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1988
Accession Number
ADA202735

Entities

People

  • Alan J. Closson

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • C4I
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Bayes Theorem
  • Bayesian Inference
  • Command And Control Systems
  • Contracts
  • Databases
  • Information Science
  • Inventory Control
  • Literature Surveys
  • Logistics
  • Logistics Management
  • Logistics Support
  • Probability
  • Radar
  • Standards
  • Weapon Systems

Readers

  • Logistics and Supply Chain Management.