The United States Army's multi-period optimal readiness allocation model
Approved for public release; distribution is unlimited. === The U.S. Army has undergone unprecedented change in the last decade, completing an organizational transformation and redesigning its deployment policies. These changes and other factors have resulted in an increase of 107% in equipping requ...
Main Author: | |
---|---|
Other Authors: | |
Published: |
Monterey, California. Naval Postgraduate School
2012
|
Online Access: | http://hdl.handle.net/10945/5668 |
id |
ndltd-nps.edu-oai-calhoun.nps.edu-10945-5668 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-nps.edu-oai-calhoun.nps.edu-10945-56682015-08-06T16:02:40Z The United States Army's multi-period optimal readiness allocation model Persons, Jay. Salmeron, Javier Ewing, P. Lee Dell, Robert. Naval Postgraduate School (U.S.). Operations Research Approved for public release; distribution is unlimited. The U.S. Army has undergone unprecedented change in the last decade, completing an organizational transformation and redesigning its deployment policies. These changes and other factors have resulted in an increase of 107% in equipping requirements between 2003 and 2011, forcing the Army to update its equipping policies. We develop the "multi-period optimal readiness allocation model" (MPORAM) to maximize unit equipment readiness across the force over several years. MPORAM extends an earlier single-period model to account for the dynamic nature of unit priorities, budget, and other factors that vary over the planning horizon. Using a small test case, we observe that MPORAM distributes and/or transfers equipment in anticipation of future demand needs. For example, if one unit cannot improve its readiness in one time period, MPORAM focuses on improving other units" ratings, if possible, regardless of their priorities. Using two realistically-sized cases, we observe that the multi-period solution does not differ notably from the single-period solution. Thus, we cannot make any strong conclusions about the added value of MPORAM in these cases. However, these results are strongly influenced by a large gap between supply and demand, and we expect MPORAM to improve the single-period solution in more balanced cases. 2012-03-14T17:46:20Z 2012-03-14T17:46:20Z 2011-06 Thesis http://hdl.handle.net/10945/5668 743300815 This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, it may not be copyrighted. Monterey, California. Naval Postgraduate School |
collection |
NDLTD |
sources |
NDLTD |
description |
Approved for public release; distribution is unlimited. === The U.S. Army has undergone unprecedented change in the last decade, completing an organizational transformation and redesigning its deployment policies. These changes and other factors have resulted in an increase of 107% in equipping requirements between 2003 and 2011, forcing the Army to update its equipping policies. We develop the "multi-period optimal readiness allocation model" (MPORAM) to maximize unit equipment readiness across the force over several years. MPORAM extends an earlier single-period model to account for the dynamic nature of unit priorities, budget, and other factors that vary over the planning horizon. Using a small test case, we observe that MPORAM distributes and/or transfers equipment in anticipation of future demand needs. For example, if one unit cannot improve its readiness in one time period, MPORAM focuses on improving other units" ratings, if possible, regardless of their priorities. Using two realistically-sized cases, we observe that the multi-period solution does not differ notably from the single-period solution. Thus, we cannot make any strong conclusions about the added value of MPORAM in these cases. However, these results are strongly influenced by a large gap between supply and demand, and we expect MPORAM to improve the single-period solution in more balanced cases. |
author2 |
Salmeron, Javier |
author_facet |
Salmeron, Javier Persons, Jay. |
author |
Persons, Jay. |
spellingShingle |
Persons, Jay. The United States Army's multi-period optimal readiness allocation model |
author_sort |
Persons, Jay. |
title |
The United States Army's multi-period optimal readiness allocation model |
title_short |
The United States Army's multi-period optimal readiness allocation model |
title_full |
The United States Army's multi-period optimal readiness allocation model |
title_fullStr |
The United States Army's multi-period optimal readiness allocation model |
title_full_unstemmed |
The United States Army's multi-period optimal readiness allocation model |
title_sort |
united states army's multi-period optimal readiness allocation model |
publisher |
Monterey, California. Naval Postgraduate School |
publishDate |
2012 |
url |
http://hdl.handle.net/10945/5668 |
work_keys_str_mv |
AT personsjay theunitedstatesarmysmultiperiodoptimalreadinessallocationmodel AT personsjay unitedstatesarmysmultiperiodoptimalreadinessallocationmodel |
_version_ |
1716816147266928640 |