Date of Award
Summer 2012
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Computational Modeling & Simulation Engineering
Program/Concentration
Modeling and Simulation
Committee Director
Patrick T. Hester
Committee Member
John A. Sokolowski
Committee Member
Ginger Watson
Abstract
A general methodological approach for determining the selection of military training simulations with respect to military training requirements has not been developed. This thesis undertakes a literature review, which indicated that there was a need for a multi-criteria decision making model to assist acquisition and/or training planners in making training selection decisions. The Analytical Hierarchy Process (AHP) Model was selected from a multi-criteria decision-making model candidate list for evaluation of its efficacy in selecting military training simulations based upon the military training requirements. Four separate trainee populations, Alpha, Beta, Charlie, and Delta, were evaluated. Results from the Alpha study case showed evidence of the AHP model providing consistency between the participants' preferred choice and their demographic background. This indicates that the AHP model may be a useful multi-criteria decision-making method for acquisition and/or training planners. These results indicate that decision-makers should: I) allow for more than a low-level of effort on the front-end when creating the necessary AHP input, 2) reflect on the selection of attributes as a critical step in establishing the AHP model hierarchy, and 3) consider the level of detail needed for input into the AHP model. Further, results from the Beta, Charlie, and Delta populations indicate that an approach has been developed which is consistent across groups and displays strong alternative preferences that are consistent.
Rights
In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/ This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
DOI
10.25777/bh83-xq55
ISBN
9781267667823
Recommended Citation
Bachman, Jane T..
"Using Decision-Making Techniques in Support of Simulation Training Transfer Selections"
(2012). Master of Science (MS), Thesis, Computational Modeling & Simulation Engineering, Old Dominion University, DOI: 10.25777/bh83-xq55
https://digitalcommons.odu.edu/msve_etds/31
Included in
Educational Technology Commons, Engineering Commons, Military and Veterans Studies Commons