Performance-Oriented Logistics Assessment (POLA)
Relating Logistics Functional Capacities to Resources and Costs
ResearchPublished 1992
Relating Logistics Functional Capacities to Resources and Costs
ResearchPublished 1992
This Note describes models and procedures other than the Logistics Decision Model (LDM) that are part of POLA methodology — models and procedures used to estimate Combat Service Support (CSS) unit capacities from their equipment inventories, to estimate the costs of increasing those capacities by adding or replacing equipment, and to construct cases for analysis. To estimate the costs of logistics improvements to CSS units, a simple cost model is used that estimates nonrecurring and annual recurring costs of acquiring, maintaining, and operating an active Army unit (or collection of units) in peacetime. The model is then applied to a unit before it receives a logistics improvement and afterwards, with the cost of the improvement being the difference between "before" and "after" cost estimates. Defining cases for analysis requires first identifying CSS units to be considered, then describing each unit identified, both as it appears initially and as it may appear once it receives a logistics improvement, and finally combining unit descriptions into overall analysis cases.
This publication is part of the RAND note series. The note was a product of RAND from 1979 to 1993 that reported miscellaneous outputs of sponsored research for general distribution.
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.