Data needs for life cycle management decisions -- Assessment of life cycle sustainment data -- Impact of data limitations -- Factors contributing to data issues -- Potential impact of STAMIS changes in progress -- Recommendations -- Acknowledgments -- Glossary, list of symbols, etc. -- Background and research approach -- Findings -- Data needs for life cycle management decisions -- Assessment of life cycle sustainment data -- Impact of data limitations -- Factors contributing to data issues -- Potential impact of STAMIS changes in progress -- Recommendations -- Appendices -- A. Reports of LCS data problems hindering LCM decisions -- B. Interview questions -- Standard sources of Army LCS data -- Bases of H-M-L ratings of data elements -- Bibliography -- Tables -- Interviewee statements: decisions requiring LCS data -- Interviewee statements: effects of LCS data gaps -- Interviewee statements: reasons for LCS data problems -- Interviewee statements: experiences with LMP.
Increasing average ages of Army weapon systems have been assumed to lead to higher maintenance costs. However, the effects of age on costs have proved difficult to specify. This study examines the relationship between equipment age and spare part costs for M1 Abrams tanks through the use of part requisition data.
Because of aging fleets, high operational tempos (OPTEMPO), and harsh operating conditions in Southwest Asia (SWA), equipment renewal is currently an Army imperative. Recent Army expenditures for reset (return to combat-ready condition), overhaul, and recapitalization have been on the order of $10 billion per year. Although anecdotal reports suggest that the reset program has been valuable, there is still a need for quantitative analyses to measure its effects and inform decisions about when and how often a vehicle should be renewed. This study assesses the effects of vehicle age, OPTEMPO, SWA deployment, and reset on mission-critical failures and maintenance costs. Findings suggest that renewal reduces a vehicle's mission-critical failures and maintenance costs by up to 50 percent per year, with the result that reset of heavy combat vehicles becomes cost-effective after four years. Additionally, OPTEMPO and location (not necessarily deployment) may be more important criteria than age when selecting vehicles for reset. The results of this study have implications for reset planning and funding decisions.
Researchers identify the effects of Focus Area Review Group II headquarters design and its new unit type--the Main Command Post-Operational Detachment--on division headquarters readiness.
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