Resilient Acquisition: Unlocking High-Velocity Learning with Model-Based Engineering to Deliver Capability to the Fleet Faster
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Authors
Rapp, Travis J.
Subjects
High-Velocity Learning
Model-Based Engineering
Naval Engineering
Mechanical Engineering
System Design and Management
Model-Based Engineering
Naval Engineering
Mechanical Engineering
System Design and Management
Advisors
Spear, Steven
Frey, Daniel
Date of Issue
2019-06
Date
Publisher
Massachusetts Institute of Technology
Language
Abstract
As the nation's security needs call for a growing naval fleet, the public private industrial base for construction and weapon system acquisition will be stressed to perform at a high level of operational excellence. Underperformance in defense acquisitions is found to be caused by complexity, uncertainty, and risk manifested through poor requirements that are unadaptable to the changing reality of the global security landscape. This thesis hypothesizes that use of model-based engineering (MBE) will enable the needed efficiency and responsiveness. This thesis demonstrates real-world and original examples of MBE consisting of digital tools motivated by the principles of traceability and high-velocity design iteration that collectively connect requirements to technical specifications in a model-centric format.
Type
Thesis
Description
CIVINS (Civilian Institutions) Thesis document
Series/Report No
Department
Organization
Identifiers
NPS Report Number
Sponsors
Funder
Format
165 p.
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.