Multi-Modal Collaboration Environment

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$534,832.00
Award Year:
2012
Program:
SBIR
Phase:
Phase II
Contract:
FA8501-12-P-0077
Award Id:
n/a
Agency Tracking Number:
F071-040-0089a
Solicitation Year:
2007
Solicitation Topic Code:
AF071-040
Solicitation Number:
2007.1
Small Business Information
3100 Presidential Dr, Suite 103, Fairborn, OH, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
124032868
Principal Investigator:
RobAndes
Principal Investigator
(937) 427-4276
randes@tdkc.com
Business Contact:
AmySedler
Sr. Contracts Administrat
(937) 427-4276
asedler@tdkc.com
Research Institute:
Stub




Abstract
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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