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Advancing Forward-Looking Metrics: A Linear Program Optimization and Robust Variable Selection for Change in Stock Levels as a Result of Recurring MICAP Parts
Graduate research paper May 2012-Jun 2013
AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH GRADUATE SCHOOL OF ENGINEERING AND MANAGEMENT
Pagination or Media Count:
The intent of this research is to introduce forward-looking metrics and take the first steps in developing a forward-looking metric for Air Force sustainment operations. Specifically, this research seeks to answer four research questions addressing what the Air Force is currently using for sustainment metrics, what are forwarding looking metrics, how can a forward-looking metrics be developed to mitigate current sustainment operations shortfalls, and how can they be used to optimize stock levels, within a given set of constraints, based upon a changing MICAP-hour requirement. These questions are answered through a comprehensive literature review, interviews with subject matter experts and the development of an integer linear program. The research identified a need to sub-divide the MICAP hours metric into three categories, using a robust data selection process recurring, non-recurring and in-inventory MICAP hours. From this, four primary models are developed, which culminated in an integer linear program to determine the optimal stock level increases to improve decrease monthly recurring MICAP hours, subject to the lowest cost with the highest effectiveness. The C-5 Galaxy aircraft fleet sustainment data is used to develop this forward-looking metric. This research proves forward-looking metrics are a viable tool for the future of sustainment operations and should be leveraged in combination with technology to be the most effective and efficient Air Force in the world.
APPROVED FOR PUBLIC RELEASE