Cover: An Introduction to Equipment Cost Estimating

An Introduction to Equipment Cost Estimating

Published 1969

by C. A. Batchelder, H. E. Boren, Harry G. Campbell, J. A. Dei Rossi, Joseph P. Large

Purchase Print Copy

 Format Price
Add to Cart Paperback134 pages $35.00

There are three basic methods used for cost estimation — the industrial engineering, analogy, and statistical approaches. The statistical method is considered the most useful for government cost analysts, whether the purpose is long-range planning or contract negotiation. An estimating procedure must rely on a database that includes cost, physical and performance descriptions, and a development and production history of previous equipment programs. Cost is predicted by estimating relationships based on parametric explanatory variables such as weight, speed, power, frequency, or thrust. Often these variables are examined through the use of statistical procedures. Experience has proved the value of the learning-curve concept. Its basis is that each time the total quantity of items produced doubles, the cost per item is reduced to a constant percentage of its previous cost. A thorough knowledge of the learning-curve phenomenon is indispensable to persons involved in cost analysis.

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

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

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.