Leveraging human decision making through the optimal management of centralized resources

Paul Hyden; Richard G. McGrath

doi:10.1117/12.2219587

12 May 2016 Leveraging human decision making through the optimal management of centralized resources

Paul Hyden, Richard G. McGrath

Proceedings Volume 9851, Next-Generation Analyst IV; 98510C (2016) https://doi.org/10.1117/12.2219587
Event: SPIE Defense + Security, 2016, Baltimore, MD, United States

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.

Citation Download Citation

Paul Hyden and Richard G. McGrath "Leveraging human decision making through the optimal management of centralized resources", Proc. SPIE 9851, Next-Generation Analyst IV, 98510C (12 May 2016); https://doi.org/10.1117/12.2219587

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