Material Requirements Planning in Air Force Depot-Level Maintenance.

Abstract

The Department of Defense has historically relied on Wilson's Economic Order Quantity (EOQ) model for consumable item management at all levels. With inventory practices under intense Congressional scrutiny over the past decade, the Air Force Materiel Command has searched for alternative systems to better manage its consumable inventory. Material Requirements Planning (MRP) is one such system, as is the MRP-based Repairability Forecast Model (RFM) developed by CACI. This thesis examines the wisdom of applying MRP logic in a remanufacturing environment. MRP has had some degree of success in environments where requirements are relatively certain and demand and lead time variability are not excessive. A remanufacturing operation, in contrast, is typified by a great deal of variability and uncertainty due to the very nature of repair. The experimental methodology involved the development of computer simulation models of EOQ and MRP systems. Demand uncertainty, demand variability, and lead time variability were then varied at three levels each to develop a full factorial experimental design. The results were used to test EOQ and MRP using two different performance measures: average number of awaiting parts (AWP) days per repair and total annual inventory cost. The results lend support for the use of MRP in a remanufacturing environment. The number of AWP days was significantly reduced from that of the EOQ system, albeit at an increased inventory cost. When the two measures are combined, however, MRP appears to outperform EOQ in aggregate.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1998
Accession Number
ADA354232

Entities

People

  • Kevin J. Gaudette

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Biomedical
  • Ground and Sea Platforms
  • Human Systems

DTIC Thesaurus Topics

  • Air Force Facilities
  • Business Administration
  • Computational Science
  • Computer Programs
  • Computers
  • Databases
  • Experimental Design
  • Failure Mode And Effect Analysis
  • Information Science
  • Information Systems
  • Lead Time
  • Logistics
  • Maintenance
  • Management Personnel
  • Operations Research
  • Scheduling (Production)
  • Statistical Analysis

Readers

  • Computational Modeling and Simulation
  • Logistics and Supply Chain Management.
  • Strategic Security Studies