War Reserve Spares Kits Supplemented by Normal Operating Assets

by Robin B. S. Brooks, John Y. Lu


Download eBook for Free

FormatFile SizeNotes
PDF file 0.6 MB

Use Adobe Acrobat Reader version 10 or higher for the best experience.


Purchase Print Copy

 FormatList Price Price
Add to Cart Paperback30 pages $20.00 $16.00 20% Web Discount

Description of a mathematical model developed to assist the Air National Guard in designing war reserve spares (WRS) kits. The model differs from a previous one by taking into account the role that normal base operating assets might play in supplementing war reserve spares requirements. It solves the following kind of optimization problem: Find the least-cost WRS kit that will keep the probability of a stockout after cannibalizations less than or equal to a specified target objective. The technique of marginal analysis is used to maximize the operational rate, which is the probability of meeting all demands for spares. A sensitivity analysis, based on data from an Air National Guard unit, reveals that if peacetime levels were explicitly taken into account when designing a WRS kit, a cost saving of nearly 40 percent would be effected without degrading base supply performance in wartime. The model is programmed in FORTRAN IV for the IBM 7044.

This report is part of the RAND Corporation Research memorandum series. The Research Memorandum was a product of the RAND Corporation from 1948 to 1973 that represented working papers meant to report current results of RAND research to appropriate audiences.

Permission is given to duplicate this electronic document for personal use only, as long as it is unaltered and complete. Copies may not be duplicated for commercial purposes. Unauthorized posting of RAND PDFs to a non-RAND Web site is prohibited. RAND PDFs are protected under copyright law. For information on reprint and linking permissions, please visit the RAND Permissions page.

The RAND Corporation is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.