Improving utility in the Marine Corps depot level maintenance program

• Main Authors: Akers, Darrell L., Akers, Michelle E., Broderick, Brian J.
• Other Authors: Doerr, Ken H.
• Published: Monterey, California. Naval Postgraduate School 2012
• Online Access: http://hdl.handle.net/10945/9886

MBA Professional Report === Approved for public release; distribution in unlimited. === MBA Professional Report === The Marine Corps operates a Depot Level Maintenance Program (DLMP) to support the continued operation of principal end items. Principal end items require periodic induction into the DLMP. This maintenance consists of major systems overhauls aimed at extending the life cycle of the principal end item. The frequency of these inductions is different for each end item. The number of systems requiring induction into Depot Level Maintenance in a given year is always greater than the funding available in that year resulting in a constraint. The Marine Corps has attempted to optimize the utility received from the DLMP through the use of a model that takes a number of variables into consideration resulting in a schedule for enditems to be inducted into the DLMP. This model makes the most efficient use of available funding by creating the largest increase in readiness reporting possible given the constrained budget. The changing operational requirements in light of current conflicts and future operations tempo have made the current DLMP process problematic. === The Marine Corps operates a Depot Level Maintenance Program (DLMP) to support the continued operation of principal end items. Principal end items require periodic induction into the DLMP. This maintenance consists of major systems overhauls aimed at extending the life cycle of the principal end item. The frequency of these inductions is different for each end item. The number of systems requiring induction into Depot Level Maintenance in a given year is always greater than the funding available in that year resulting in a constraint. The Marine Corps has attempted to optimize the utility received from the DLMP through the use of a model that takes a number of variables into consideration resulting in a schedule for enditems to be inducted into the DLMP. This model makes the most efficient use of available funding by creating the largest increase in readiness reporting possible given the constrained budget. The changing operational requirements in light of current conflicts and future operations tempo have made the current DLMP process problematic.