Open Access Open Access  Restricted Access Subscription or Fee Access

Measuring Data Driven Fleet Management Benefits through Post Implementation Assessment

MATT CARTER

Abstract


Highly constrained Department of Defense budgets compel the U.S. Army to develop and employ a suite of holistic Data Driven Fleet Management (DDFM) approaches. This collection of capabilities supports proposals for investments aimed at reducing and/or mitigating Operation and Sustainment (O&S) cost growth. As part its overarching DDFM strategy, the Army’s Aviation & Missile Command (AMCOM) invests in initiatives with the goal to improve reliability and reduce O&S cost, with no negative impact on the warfighter’s readiness. DDFM employs a Systems Engineering approach to collect specific data, enabling focused analysis using multiple relevant databases and methodologies. This approach develops actionable information for presentation to Army leaders to support their critical funding decisions. Army Aviation uses the Army Working Capital Fund (AWCF) to invest in approved initiatives. AWCF investments support innovative projects with the objective to more wisely sustain the world’s largest fleet of helicopters which includes the Apache, Black Hawk and Chinook platforms. As part of an update to AMCOM Logistics Center’s (ALC) manuscript published through the International Workshop on Structural Health Management (IWSHM) 2015, this edition for the 2017 workshop features updates regarding models the ALC utilizes to measure investment results. The prior published work spelled out how ALC employs its Post Implementation Assessment (PIA) model to measure benefits yielded when the Army authorizes retirement life extensions for aircraft components. PIA models validated how those extensions greatly enable the consumption of valuable remaining useful life (RUL), by increasing time-on-wing, therefore reducing sustainment cost. This updated manuscript features ALC’s PIA model, as specifically developed to measure investment results enabled by implementing redesigned components. Specifically, redesigns which occur to improve reliability, reduce cost and/or mitigate obsolescence.


DOI
10.12783/shm2017/14212

Full Text:

PDF

Refbacks

  • There are currently no refbacks.