Cover: Resource Allocation Techniques for Logistics Management

Resource Allocation Techniques for Logistics Management

Published 1969

by Craig C. Sherbrooke

Download

Download Free Electronic Document

FormatFile SizeNotes
PDF file 0.6 MB

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

Purchase

Purchase Print Copy

 Format Price
Add to Cart Paperback15 pages $20.00

A description of six RAND-developed, integrated, analytic, computer-run (but nonsimulation), cost-effectiveness models for logistics planning and support: SCAM (source-coders cost analysis model), METRIC (multiechelon technique for recoverable item control), MINE (multi-indenture NORS evaluator), RTM (real-time METRIC), RPM (repair priorities model), and WRSK (war reserve spares kit). The models basically calculate supply distribution, but also involve maintenance, operations, and asset management. All derive from a common body of mathematical theory and ancestor, the base stockage model (BSM), which optimizes budget allocation across a group of recoverable or reparable spare parts used at one air base. Though designed to enable the Air Force to maintain combat capability on reduced budgets, these models are useful to any organization seriously interested in integrated logistics support, including the other military services, hardware contractors, the airlines, and medium-sized manufacturing and distribution companies.

This report is part of the RAND paper series. The paper was a product of RAND from 1948 to 2003 that captured speeches, memorials, and derivative research, usually prepared on authors' own time and meant to be the scholarly or scientific contribution of individual authors to their professional fields. Papers were less formal than reports and did not require rigorous peer review.

This document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited; linking directly to this product page is encouraged. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial purposes. For information on reprint and reuse permissions, please visit www.rand.org/pubs/permissions.

RAND 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.