ORACLE (Oversight of Resources and Capability for Logistics Effectiveness) and Requirements Forecasting. Volume 1. Extensions of ORACLE

Abstract

ORACLE (Oversight of Resources And Capability for Logistics Effectiveness) is a methodology that assesses the effects of changing certain resource levels on the peacetime materiel readiness and wartime sustainability of U.S. air forces, to improve the estimation and justification of resource requirements. The Air Force Logistics Command uses the D041 system to help manage approximately 150,000 aircraft components. During each quarter, the D041 system is used to estimate how much of each component should be repaired and purchased for about three years into the future. The goal of the ORACLE methodology is to construct an aggregate database having the following features: The database is an additional product of a standard D041 quarterly computation, it is small enough to fit in a portable microcomputer, and it can be readily manipulated by a spreadsheet- like program to mimic in aggregate form the responses of D041 to program changes. The current ORACLE methodology was designed to work with only a simplified version of D041, not the actual version. D041 is now being modified to incorporate the logic that is in the Logistics Management Institute's Aircraft Availability Model (AAM).

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1988
Accession Number
ADA196127

Entities

People

  • Z. F. Lansdowne

Organizations

  • RAND Corporation

Tags

Communities of Interest

  • Air Platforms
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Aircraft Equipment
  • Aircrafts
  • Algorithms
  • Cannibalization
  • Computer Programming
  • Databases
  • Failure Mode And Effect Analysis
  • Information Science
  • Logistics
  • Military Aircraft
  • National Security
  • Nonlinear Programming
  • Normal Distribution
  • Probability Distributions
  • Regression Analysis
  • Software Development

Readers

  • Computer Science.
  • Logistics and Supply Chain Management.