Multi-Modal Collaboration Environment

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8501-12-P-0077
Agency Tracking Number: F071-040-0089a
Amount: $534,832.00
Phase: Phase II
Program: SBIR
Awards Year: 2012
Solicitation Year: 2007
Solicitation Topic Code: AF071-040
Solicitation Number: 2007.1
Small Business Information
3100 Presidential Dr, Suite 103, Fairborn, OH, -
DUNS: 124032868
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Rob Andes
 Principal Investigator
 (937) 427-4276
Business Contact
 Amy Sedler
Title: Sr. Contracts Administrat
Phone: (937) 427-4276
Research Institution
ABSTRACT: A Phase II proposal for specification and implementation of the ARViSS (Aircraft RAMP Visualization and Simulation System) prototype system is provided in support of the C-130 System Program Office (WR-ALC/GRB) Scheduled Maintenance Specialized Visualization and Simulation effort. Using existing aircraft status data, users can maintain situational awareness by visually scanning the actual RAMP situation. Co-located data and performance statistics aid decision makers working in real-time. Simulation allows the users to benefit from multiple models being run by ARViSS to explore possibilities. Two technologies form the basis of the ARViSS visualization and decision aiding system: Advanced, User-centric Graphical Visualization and Stochastic Simulation. User-centric graphical depiction of data frees the users of tabular and spreadsheet-based data from having to maintain a complex process model mentally. The user can engage in active status monitoring, zooming in and out on details while data is represented spatially. The stochastic simulation approach taken in ARViSS embeds RAMP production models in the system to supply operations management decision support by allowing the users to view actual data from the Master Schedule, Aircraft Status Sheet, and full process simulation results simultaneously within an advanced GUI to support optimal RAMP throughput. BENEFIT: This research has applicability to any human operator supervised, distributed multi-step, collaborative process from maintenance and repair production lines, to command and control processes that seek to optimize throughput.

* Information listed above is at the time of submission. *

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