A Spares Stockage Algorithm for Low-Density Equipment.
AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH SCHOOL OF SYSTEMS AND LOGISTICS
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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
- Administration and Management
- Statistics and Probability
- Test Facilities, Equipment and Methods