Quantifying, Visualizing, and Tracking Capability Gaps

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dc.contributor.authorKamel, Magdi N.
dc.contributor.authorGallup, Shelley P.
dc.contributor.corporateNaval Research Program (NRP)
dc.contributor.corporateNaval Research Program (NRP)
dc.contributor.departmentInformation Sciences
dc.date2021
dc.date.accessioned2022-06-21T22:53:40Z
dc.date.available2022-06-21T22:53:40Z
dc.date.issued2021
dc.descriptionNPS NRP Project Poster
dc.description.abstractWhile numerous sources of information identify warfighting capability gaps and/or provide recommendations to close gaps and/or provide new/improved capabilities to the fleet, no comprehensive system, and responsible entity, captures all of that information in one place to provide a clear and concise picture of progress being made to close identified gaps and/or provide a capability. To address this problem, we developed in a previous effort, a methodology based on Multi-Criteria Decision Analysis (MCDA) methods to calculate and visualize a capability gap score at any given point in time to depict capability gap resolution progress across the elements of the Doctrine, Organization, Training, Materiel, Leadership, Education, Personnel, and Facilities (DOTMLPF) framework and based on substantiated real-time information. In this effort we expand the DOTMLPF framework used to evaluate capabilities by adding new elements and sub-elements and extend the MCDA methodology by incorporating different models for calculating the capability gap score. These models include the Weighted Sum Model (WSM), the Weighted Product Model (WPM), the Weighted Aggregated Sum Product Assessment (WASPA), the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), and the Analytic Hierarchy Process (AHP). The goal of the effort is to develop a comprehensive methodology that would enable Navy leadership to have a clearer picture of what has been accomplished, what remains to be done, who has action, and the critical path to closing the gap and/or delivering a capability.
dc.description.distributionstatementApproved for public release. Distribution is unlimited. 
dc.description.funderThis research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE 0605853N/2098). https://nps.edu/nrp
dc.description.funderChief of Naval Operations (CNO)
dc.description.sponsorshipNavy Warfare Development Command (NWDC)
dc.description.sponsorshipU.S. Fleet Forces Command (USFF)
dc.identifier.otherNPS-21-N213-A
dc.identifier.urihttps://hdl.handle.net/10945/69884
dc.language.isoen_US
dc.publisherMonterey, California: Naval Postgraduate School
dc.publisherMonterey, California. Naval Postgraduate School.
dc.relation.ispartofseriesNaval Research Program (NRP) Project Documents
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
dc.subject.authorgap analysis
dc.subject.authorMulti-Criteria Decision Analysis
dc.subject.authorMCDA
dc.subject.authordata visualization
dc.titleQuantifying, Visualizing, and Tracking Capability Gapsen_US
dc.typePosteren_US
dspace.entity.typePublication
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