A Spares Stockage Algorithm for Low-Density Equipment.
Abstract
Current U.S. Air Force stockage models are generally demand driven, performing satisfactorily for spares which have high usage rates. However, critical end-items such as automatic test equipment are characterized by very low spares usage rates. Consequently, current stockage policies typically do not stock spares for these end-items. This model has two unique features. It pools and averages demand data from bases supporting similar end-items and the model allows the consideration of two resupply priorities and durations rather than the single mean resupply time. The algorithm was applied to spares usage data for the F-15 Avionics Intermediate Shop. The model provides a cost-effective purchase sequence for low-demand spares. Using the model, the manager may base stockage decisions upon: (1) system availability, (2) total budget, or (3) an implied stockage penalty cost. The study demonstrated that: (1) purchases recommended early in the purchase sequence dramatically increase system availability for a relatively low spares investment, and (2) the current stockage policies recommend an inefficient inventory investment. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 1982
- Accession Number
- ADA123709
Entities
People
- David K. Peterson
- George C. Pankonin
Organizations
- Air Force Institute of Technology