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Proceedings Paper

Leveraging human decision making through the optimal management of centralized resources
Author(s): Paul Hyden; Richard G. McGrath
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Paper Abstract

Combining results from mixed integer optimization, stochastic modeling and queuing theory, we will advance the interdisciplinary problem of efficiently and effectively allocating centrally managed resources. Academia currently fails to address this, as the esoteric demands of each of these large research areas limits work across traditional boundaries. The commercial space does not currently address these challenges due to the absence of a profit metric. By constructing algorithms that explicitly use inputs across boundaries, we are able to incorporate the advantages of using human decision makers. Key improvements in the underlying algorithms are made possible by aligning decision maker goals with the feedback loops introduced between the core optimization step and the modeling of the overall stochastic process of supply and demand. A key observation is that human decision-makers must be explicitly included in the analysis for these approaches to be ultimately successful. Transformative access gives warfighters and mission owners greater understanding of global needs and allows for relationships to guide optimal resource allocation decisions. Mastery of demand processes and optimization bottlenecks reveals long term maximum marginal utility gaps in capabilities.

Paper Details

Date Published: 12 May 2016
PDF: 7 pages
Proc. SPIE 9851, Next-Generation Analyst IV, 98510C (12 May 2016); doi: 10.1117/12.2219587
Show Author Affiliations
Paul Hyden, U.S. Naval Research Lab. (United States)
Richard G. McGrath, U.S. Naval Academy (United States)

Published in SPIE Proceedings Vol. 9851:
Next-Generation Analyst IV
Barbara D. Broome; Timothy P. Hanratty; David L. Hall; James Llinas, Editor(s)

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