Keywords

simulation based acquisition, defense modeling and simulation, acquisition workforce

Abstract

The DoD Modeling and Simulation Steering Committee (M&S SC) identified Modeling and Simulation (M&S) as an educational objective for the Acquisition, Technology and Logistics (AT&L) workforce. Notably, past usages of M&S in system acquisitions for both DoD and commercial industry have demonstrated improvements in efficiency and effectiveness over traditional acquisition techniques. However, to achieve expected and consistent performance by this workforce in these new techniques, the M&S essential skill requirements for this workforce may be extensive. This research aims to validate the content and level of competency in selected M&S tools and technology necessary for consistent workforce performance. The notion here is to achieve greater efficiency and effectiveness in the acquisition process through thresholds of competency that must be resident in or available to the acquisition workforce. This research proposes a matrix of training objectives and levels of competency for portions of the AT&L workforce that was validated through survey by individuals who are leading experts in both M&S and acquisition. This effort combines rigorously defined learning objectives and parameters by academia with practical learning insights from the military and industry ground perspectives. The resultant Joint Learning Model aims to identify the workforce educational foundations necessary to achieve more widespread efficiency and effectiveness in current and future DoD acquisitions.

Notes

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Graduation Date

2008

Advisor

Proctor, Michael

Degree

Master of Science (M.S.)

College

College of Engineering and Computer Science

Department

Industrial Engineering and Management Systems

Degree Program

Industrial Engineering

Format

application/pdf

Identifier

CFE0002110

URL

http://purl.fcla.edu/fcla/etd/CFE0002110

Language

English

Release Date

April 2009

Length of Campus-only Access

None

Access Status

Masters Thesis (Open Access)

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