Business case assessment of unmanned systems level of autonomy
Name
810144613-MIT.pdf
Description
Full printable version
Size
8.94 MB
Format
Adobe PDF
Checksum (MD5)
624e68ebf03ed9c169ebe216ac17d34e
Author(s)
Liu, Edward W
Advisor(s)
Jonathan How and Roy Welsch.
Date Issued
2012
Publisher
Massachusetts Institute of Technology
Abstract
The federal government has continually increased its spending on unmanned aerial vehicles (UAVs) during the past decade. Efforts to drive down UAV costs have primarily focused on the physical characteristics of the UAV, such as weight, size, and shape. Due to the saturation of the UAV business in the federal sector, the civilian sector is not as penetrated. Hence, companies see this phenomenon as an opportunity to establish itself as the standard bearer in this sector. This thesis will address how Boeing can establish guidelines for business strategies in UAV offerings to potential clients. The key innovation that will be introduced is a modeling tool that will focus on simulation/trending and sensitivity analysis to help provide some insight into what these guidelines will be. The modeling tool will quantify many of the benefits and costs of the components and features of the production and utilization of UAVs. Other notable recommendations include defining a new data recording process to obtain sets of sample data to validate the results of the modeling tool and streamlining the complexity of additional features and enhancements that will be incorporated in future versions of the modeling tool.
Description
Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science; in conjunction with the Leaders for Global Operations Program at MIT, 2012.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 71-73).
Subjects
Sloan School of Management.
Electrical Engineering and Computer Science.
Leaders for Global Operations Program.
MIT Department
Leaders for Global Operations Program at MIT
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Sloan School of Management
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