Publication:
Optimization of Airframe Depot Readiness Assessment Model (ADRAM)

Loading...
Thumbnail Image
Authors
MacKinnon, Douglas J.
Huang, Jefferson
Subjects
optimization
design of experiments
DOE
Program Objective Memorandum
POM
Naval Aviation Enterprise
NAE
budget
Aviation Depot Readiness Availability Model
ADRAM
Advisors
Date of Issue
2021
Date
2021
Publisher
Monterey, California: Naval Postgraduate School
Monterey, California. Naval Postgraduate School.
Language
en_US
Abstract
The 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.
Type
Poster
Description
NPS NRP Project Poster
Department
Information Sciences
Organization
Naval Research Program (NRP)
Identifiers
NPS Report Number
Sponsors
N8 - Integration of Capabilities & Resources
Funder
This research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE 0605853N/2098). https://nps.edu/nrp
Chief of Naval Operations (CNO)
Format
Citation
Distribution Statement
Approved for public release. Distribution is unlimited. 
Rights
This 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.
Collections