Dollar Cost Banding

A New Algorithm for Computing Inventory Levels for Army Supply Support Activities

Kenneth J. Girardini, Arthur W Lackey, Kristin J. Leuschner, Daniel A. Relles, Mark E. Totten, Darlene J. Blake

ResearchPublished Sep 2, 2004

When Army equipment fails, the speed with which maintenance technicians can restore it to mission-ready condition depends critically on the availability of needed spare parts. The Army wished to improve the algorithm used to compute the proper levels of inventory to stock in its repair facilities. This monograph describes how the Army’s Distribution Management initiative (formerly known as Velocity Management) has been used to develop and implement a new algorithm for computing spare parts inventories maintained by Army supply support activities (SSAs). The algorithm, known as dollar cost banding (DCB), has made it possible to expand the breadth of deployable inventories by adjusting the criteria for determining whether an item should be added or retained according to the item’s cost, size, and the criticality of the demands. When setting the depth of inventory, DCB accounts for surges and variations in demand, thus making it more likely that a part will be available in SSA inventories when demands occur. The DCB algorithm has produced immediate and significant gains in performance at little or no additional inventory cost and without sacrificing mobility. DCB has been successfully used in divisional SSAs, nondivisional tactical SSAs, and nontactical SSAs.

Order a Print Copy

Format
Paperback
Page count
130 pages
List Price
$20.00
Buy link
Add to Cart

Topics

Document Details

  • Availability: Available
  • Year: 2004
  • Print Format: Paperback
  • Paperback Pages: 130
  • Paperback Price: $20.00
  • Paperback ISBN/EAN: 978-0-8330-3553-0
  • Document Number: MG-128-A

Citation

RAND Style Manual
Girardini, Kenneth J., Arthur W Lackey, Kristin J. Leuschner, Daniel A. Relles, Mark E. Totten, and Darlene J. Blake, Dollar Cost Banding: A New Algorithm for Computing Inventory Levels for Army Supply Support Activities, RAND Corporation, MG-128-A, 2004. As of September 7, 2024: https://www.rand.org/pubs/monographs/MG128.html
Chicago Manual of Style
Girardini, Kenneth J., Arthur W Lackey, Kristin J. Leuschner, Daniel A. Relles, Mark E. Totten, and Darlene J. Blake, Dollar Cost Banding: A New Algorithm for Computing Inventory Levels for Army Supply Support Activities. Santa Monica, CA: RAND Corporation, 2004. https://www.rand.org/pubs/monographs/MG128.html. Also available in print form.
BibTeX RIS

Research conducted by

The research described in this report was sponsored by the United States Army and performed under the auspices of RAND Arroyo Center.

This publication is part of the RAND monograph series. RAND monographs were products of RAND from 2003 to 2011 that presented major research findings that addressed the challenges facing the public and private sectors. All RAND monographs were subjected to rigorous peer review to ensure high standards for research quality and objectivity.

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.