Optimization of Airframe Depot Readiness Assessment Model (ADRAM)

dc.contributor.authorMacKinnon, Douglas J.
dc.contributor.authorHuang, Jefferson
dc.contributor.corporateNaval Research Program (NRP)
dc.contributor.corporateNaval Research Program (NRP)
dc.contributor.departmentInformation Sciences
dc.date2021
dc.date.accessioned2022-06-21T22:53:33Z
dc.date.available2022-06-21T22:53:33Z
dc.date.issued2021
dc.descriptionNPS NRP Project Poster
dc.description.abstractThe Naval Aviation Enterprise (NAE) is tasked with providing sufficient numbers of aircraft to meet readiness and operational surge requirements. This study seeks to improve readiness as defined by the number of mission-capable aircraft available for operational tasking. Our research is focused on the output of the Aviation Depot Readiness Availability Model (ADRAM) and seeks to inform Senior Leaders with regard to funding decisions about aircraft maintenence. Our hope is to reduce the risk of decreased aircraft readiness as well as explore the available trade space and implications of potential alternatives, revealing some practical outcomes. This project also seeks to optimize ADRAM’s ability to balance readiness with cost . The far-reaching implications of programmatic decisions concering maintaining aircraft airframes through the examination of “operational availability” is a complex problem that requires exploration. Through our examination of ADRAM output over numerous maintenance events, many depots, and many types, models, and series (T/M/S) of aircraft, we found that ADRAM does not produce the most efficient and effective set of maintenance events required to meet a specific readiness goal (or to implement a decrease in funding). There are two basic reasons for this observation: some of the model’s solution algorithms do not appear consistent with current practices, while other algorithms reflect current practices that are likely to be suboptimal. In particular, we observe that ADRAM assumes that the most expensive tasks are the first to be deferred. This does not necessarily minimize the impact of the delay on readiness. Also, ADRAM assumes that “level-loading” of maintenance tasks occurs across facilities. This may be consistent with current practices but does not necessarily allocate events to the most efficient facilities. Furthermore, ADRAM assumes “fair-sharing” of budget cuts across facilities. This does not necessarily defer events away from the least efficient facilities.
dc.description.distributionstatementApproved for public release. Distribution is unlimited. 
dc.description.funderThis research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE 0605853N/2098). https://nps.edu/nrp
dc.description.funderChief of Naval Operations (CNO)
dc.description.sponsorshipN8 - Integration of Capabilities & Resources
dc.identifier.otherNPS-21-N117-A
dc.identifier.urihttps://hdl.handle.net/10945/69874
dc.language.isoen_US
dc.publisherMonterey, California: Naval Postgraduate School
dc.publisherMonterey, California. Naval Postgraduate School.
dc.relation.ispartofseriesNaval Research Program (NRP) Project Documents
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
dc.subject.authoroptimization
dc.subject.authordesign of experiments
dc.subject.authorDOE
dc.subject.authorProgram Objective Memorandum
dc.subject.authorPOM
dc.subject.authorNaval Aviation Enterprise
dc.subject.authorNAE
dc.subject.authorbudget
dc.subject.authorAviation Depot Readiness Availability Model
dc.subject.authorADRAM
dc.titleOptimization of Airframe Depot Readiness Assessment Model (ADRAM)en_US
dc.typePosteren_US
dspace.entity.typePublication
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