Accession Number : ADA300370

Title :   Readiness and Resources in the U.S. Army Reserve. A Research Study Plan.

Descriptive Note : Technical rept.,

Corporate Author : NAVAL POSTGRADUATE SCHOOL MONTEREY CA DEPT OF SYSTEMS MANAGEMENT

Personal Author(s) : Dolk, Daniel R.

PDF Url : ADA300370

Report Date : AUG 1995

Pagination or Media Count : 40

Abstract : This report details a research study plan for measuring unit readiness within the U.S. Army Reserve. A review is undertaken of the current measures of operational readiness which can be categorized as assets reporting (SORTS reporting), unit modeling (Monte Carlo simulations), and functional tests (field exercises). Four key issues in Reserve readiness are identified: personnel turbulence and unit cohesion, quality of leadership, quality of training, and Reserve unit location with respect to high potential markets. A conceptual model of reserve readiness is presented for studying these issues which addresses resources, indicators of readiness, and readiness metrics according to Beus' classification of mobilization, structural, and operational readiness. In concert with this conceptual model, an evolutionary simulation approach is proposed which relies upon genetic algorithms to generate dynamic, emergent measures of readiness rather than relying upon the subjective, static measures derived from SORTS data. Two research strategies are proposed: one for operational readiness and one for structural readiness. The first strategy has three steps: developing critical path MOS profiles for Army Reserve CFP units, determining the attrition/turnover by unit for the critical success MOS profiles, and then building a genetic simulation for generating emergent measures of unit readiness. The structural readiness research plan requires use of a geographic information system (GIS) for visual exploration of market supportability data which will lead to an analytical model for determining Reserve unit locations in high potential supportable markets.

Descriptors :   *MILITARY RESERVES, *MILITARY RESEARCH, MATHEMATICAL MODELS, ALGORITHMS, SIMULATION, MEASUREMENT, METHODOLOGY, MARKET RESEARCH, MARKETING, STRATEGY, LEADERSHIP, INFORMATION SYSTEMS, MODELS, TRAINING, MOBILIZATION, OPERATIONAL READINESS, STRUCTURAL PROPERTIES, TURBULENCE, MONTE CARLO METHOD, QUALITY, PLANNING, EVOLUTION(GENERAL), CLASSIFICATION, PERSONNEL, RESOURCE MANAGEMENT, VISION, RESEARCH MANAGEMENT, ARMY, STATICS, INDICATORS, GEOGRAPHY, GENETICS, COHESION.

Subject Categories : Administration and Management
      Military Forces and Organizations

Distribution Statement : APPROVED FOR PUBLIC RELEASE