BEACON INTERACTIVE SYSTEMS LLC — Department of Defense SBIR Phase II: Beacon"s vision for this topic is to create an innovative tag-out capability coupled with
BEACON INTERACTIVE SYSTEMS LLC — SBIR Phase II award from Department of Defense.
Phase II SBIR prototype / development signal
- Phase II is where Department of Defense funds deeper R&D after feasibility. Incumbents with Phase II history are serious competitors on adjacent topics.
- Use this award as past-performance context and to map customer organizations for STRATFI/TACFI-style transition planning.
- Obligated amount $999,937 is consistent with substantial Phase II-scale effort; compare to related awards from the same agency.
- Amount
- $999,937
- Agency
- Department of Defense · Navy
- Program / Phase
- SBIR · Phase II
- Solicitation
- 2005.3
- NAICS
- —
- Place of performance
- MA
- Period
- 2012-01-27 → 2014-09-27
Description
Beacon"s vision for this topic is to create an innovative tag-out capability coupled with the ability to capture human work performance data and provide that data to analysis tools such as the Engineering & Supportability Decision System (ESDS) and MFOM. Utilizing tag-out for this research effort is based upon the need for improving the tag-out process within the Navy. It is also an attractive proxy for exploring new approaches to management and support because it is a well-defined process that can be improved. Finally, this is an important area of exploration because it is one of the major elements of maintenance and is not well understood from a supportability and readiness perspective. We envision a multi-faceted solution that not only works for the sailor today, but points the way to future innovation in readiness and supportability in the future. Our vision is centered on creating a solution along three vectors: - Supporting the tag-out process of maintenance, making it more efficient and cost effective - Capturing, sharing and analyzing work performance data in order to inform the ESDS model - Utilizing the tag-out process as a proxy for understanding the usefulness of the capture of human performance data