A Study to Demonstrate the Application of a Graphical Method to Determine an Optimal Maintenance Task Interval for an Item in Air Force Inventory.

Abstract

Determining maintenance task intervals is an important part of any schedule maintenance program. Criteria for determining optimal intervals is usually based on an objective function designed to minimize average long-term (expected) cost. This study demonstrates a graphical method, developed by Bergman in 1977, for determining a maintenance task interval using the KT-73 Inertial Measurement Unit installed on the A7-D. The method establishes intervals on a hard time replacement policy, but can also be used under an on-condition maintenance policy. The authors sought to discuss this study within the context of the Reliability-Centered Maintenance Program, but to deviate from the traditional age exploration concept and cost-benefit analyses. Instead, Bergman's simple, but rigorous, method is employed to find a task interval based on a control strategy which balances cost of replacement with cost of failure and results in a minimum total long-run average cost per unit time. Among the advantages of Bergman's method are that the underlying failure distribution need not be known and that a sensitivity analysis can be performed to examine the effects of cost uncertainty with regard to changes in the optimal interval. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1982
Accession Number
ADA123025

Entities

People

  • Anthony R. Roclevitch
  • Douglas C. Beckwith

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Aircrafts
  • Commercial Aviation
  • Costs
  • Engineering
  • Failure Mode And Effect Analysis
  • Inertial Measurement Units
  • Inventory
  • Logistics
  • Logistics Management
  • Maintenance
  • Measurement
  • Reliability
  • Reliability Engineering
  • Systems Management
  • War Colleges

Readers

  • Life Cycle Cost Analysis
  • Logistics and Supply Chain Management.
  • Regression Analysis.