F/A-18 Performance/Pricing Model Analysis

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Authors
MacKinnon, Douglas
Salmeron, Javier
Ellis, Kyle
Advisors
Second Readers
Subjects
F/A-18
Super Hornet
aviation
readiness
performance/pricing model
P/PM
Chief of Naval Operations Assessment Division
N81
Flight Hour Program
FHP
Spares Model
Depot Readiness Assessment Model
DRAM
Airframe Depot Readiness Assessment Model
ADRAM
Engine Depot Readiness Assessment Model
EDRAM
depot
Fleet Readiness Center
modeling and simulations
MS
mission capable
MC
Date of Issue
2019-09
Date
09/30/2019; Period of Performance: 01/01/2019-12/31/2019
Publisher
Monterey, CA; Naval Postgraduate School
Language
Abstract
Project Summary: In 2004, the Naval Aviation Enterprise transitioned to a system of Performance/Pricing Models (P/PM) in an effort to support decision makers and gain efficiency in its funding activities. P/PMs consist of two key elements: driver-based performance management, which identifies the organization’s desired outcomes and the drivers that have quantifiable impacts on them, and predictive analytics, which identify high-leverage drivers and forecast performance. The F/A-18 Super Hornet has been the workhorse of the Navy and Marine Corps' tactical aviation squadrons for more than 30 years. However, over the last decade, the amount of hours flown in a mission capable (MC) status has steadily declined despite increases in funding and the utilization of the P/PMs to better allocate that funding. This work, in conjunction with efforts by the Chief of Naval Operations Assessment Division (N81) to assess the causes of this readiness decay, consists of a mixed methodology analysis of the following F/A-18 P/PMs: Flight Hour Program (FHP), Spares Model, and the Depot Readiness Assessment Model (DRAM) suite—including the Engine Depot Readiness Assessment Model (EDRAM) and the Airframe Depot Readiness Assessment Model (ADRAM). The seminal product of this research is a logical framework describing the relationships between the P/PMs with a particular focus on the model drivers determined as key to model performance. The framework serves as a foundation for future work in understanding the complexities of the Navy's aviation problem set. This research also illuminates the extent to which human decisions shape model outputs.
Type
Report
Description
NPS NRP Executive Summary
Identifiers
NPS Report Number
Sponsors
Naval Research Program
Topic Sponsor: N81-Assessment Division
Research POC Name: Robert Alexander, CDR, USN
Funding
NPS-19-N143-A
Format
6 p.
Citation
Distribution Statement
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.
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