The Readiness Enhancement Model

A Personnel Inventory Projection Model of the Army's Reserve Components

Herb Shukiar

ResearchPublished 1996

RAND has developed the Readiness Enhancement Model, a personnel inventory projection model for the Army's Reserve Components. The model supported research carried out under the Arroyo Center's Reserve Component personnel readiness project. Project findings are described fully in Bruce Orvis et al., Ensuring Personnel Readiness in the Army Reserve Components, MR-659-A, 1996. The reader who intends to employ the model should find this report useful. Readers who do not plan to employ the model should also find portions of the report useful as a vehicle for understanding the inventory projection environment within which the model operates. The project was designed to examine the true extent of cross-leveling during Operation Desert Shield/Storm, the reasons for it, the likelihood of serious personnel shortfalls in future deployments, and, based on these findings, the types of policies that could enhance the Reserve Components' readiness to deal with future contingencies. The model described in this report supported research designed to estimate how increased use of prior service experience and reduced Reserve Component attrition and job turbulence would affect job qualification rates and annual requirements for recruiting and training.

Document Details

Citation

Chicago Manual of Style

Shukiar, Herb, The Readiness Enhancement Model: A Personnel Inventory Projection Model of the Army's Reserve Components. Santa Monica, CA: RAND Corporation, 1996. https://www.rand.org/pubs/monograph_reports/MR659z1.html.
BibTeX RIS

Research conducted by

This publication is part of the RAND monograph report series. The monograph report was a product of RAND from 1993 to 2003. RAND monograph reports presented major research findings that addressed the challenges facing the public and private sectors. They included executive summaries, technical documentation, and synthesis pieces.

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.