Depot Maintenance Parts Demand Distribution and Evaluation of Alternative Stockage Policies

Abstract

Depot maintenance attempts to plan part requirements and to assure adequate stocks are available to meet demands. Nevertheless, many parts with recurring usage never seem to be adequately stocked to support actual requests. This research parallels and builds upon research by the A.F. Logistics Management Center which studied variability of demand at the base-level; this thesis investigates variability of demand for depot maintenance. Its purpose was: 1) to determine assumptions made by the MIC (Maintenance Inventory Center) and D033 stockage models in regards to demand; 2) to analyze actual depot maintenance parts demands and assess if these assumptions were valid; and 3) to evaluate alternative MIC stockage policies. Analysis of demands from five MICs indicated demands levied against the aircraft area MIC tended to be constant Poisson in nature. Demands for the non-aircraft areas tended to be more variable and for higher quantities. Research suggested current MIC stockage policy was not capable of providing overall 95% line item fill rates as presented by certain data automation reports. Examination of the D033 safety level equation indicated it did not adequately accommodate observed variance in demand. Simulations showed the current 30/15 day (stock level/reorder point) policy is good for many expendable items. However, a simulated hybrid lot size and safety level approach can maintain similar line item fill rates and simultaneously reduce stock levels for some items.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1988
Accession Number
ADA201576

Entities

People

  • Steven H. Mcbride

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Computer Programs
  • Computers
  • Data Analysis
  • Databases
  • Failure Mode And Effect Analysis
  • Information Science
  • Lead Time
  • Literature Surveys
  • Logistics
  • Logistics Management
  • Maintenance
  • Manufacturing
  • Materials
  • Probability Distributions
  • Production

Readers

  • Logistics and Supply Chain Management.
  • Regression Analysis.