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Advanced Common Integrative, Intelligent, Customizable and Scalable Automated Logistics Environment (ALE) Framework
Navy SBIR FY2011.2
| Sol No.: |
Navy SBIR FY2011.2 |
| Topic No.: |
N112-103 |
| Topic Title: |
Advanced Common Integrative, Intelligent, Customizable and Scalable Automated Logistics Environment (ALE) Framework |
| Proposal No.: |
N112-103-0622 |
| Firm: |
Synesis7 220 North Alaska
Butte, Montana 59701-9333 |
| Contact: |
Allen Ellmaker |
| Phone: |
(406) 496-6401 |
| Web Site: |
www.synesis7.com |
| Abstract: |
Our goal through this project is to demonstrate the feasibility and enterprise-wide benefits of Synesis7's proposed approach for getting to an advanced common integrative, intelligent Automated Logistics Environment (ALE) planning, development, technology, integration, and deployment framework ("ALE Framework") solution. Establishing technical, operational, cost and commercial feasibility will be dependent on successfully providing an initial proof of concept model focused on Synesis7's proposed Scalable Collaborative ALE (SCALE)/i3-based ALE Framework with its intelligent integration Manifold/i3 and Orchestrator/i3 technical approach representing the transparent ALE integration and navigation engine ("engine"). This engine is the critical technology enabler of a system of systems services-based enterprise-centric ALE Framework strategy. Key to the intent and success of this engine is our proposed phased research, design/prototyping, development, test and integration of intelligent adaptive-evolutionary genetic agent, distributed neural network, metadata environment, and dynamic algorithm technologies. Holistically, this technology approach in alignment with the other "integrative factors" will evolve into what Synesis7 defines as the genetic code of the ALE Framework Orchestrator integration and navigation engine. Synesis7's proposed SCALE/3-based ALE Framework technical approach represents an enterprise-wide technology, system/application product, and politically neutral and agnostic solution. |
| Benefits: |
Anticipated Benefits
Cost Reduction and Avoidance including:
- Non-proprietary open architecture, reducing acquisition and ongoing support, sustainment and training costs
- Operations and process performance costs
- Diagnostics, maintenance and repair costs
- Data authoring, sustainment and management costs
- Engineering change management costs
- System, software, and hardware infrastructure costs
- Total asset life-cycle cost of ownership
Improve aircraft or other system asset visibility, performance, reliability, availability, safety, and maintainability
Improved operational readiness and responsiveness
Improved operations support, visibility and decision making across the theater of operations
Improve strategic and operational planning responsiveness
Potential Commercial Applications
Federal Civil Agencies
Departments of Homeland Security, Energy, Interior, Transportation, Health and Human Services, and Veterans Affairs (health care system); FAA
State and Local Government
Water and Sewer Systems, Utilities, Transportation
Commercial Private Sector
Aerospace
Commercial aviation
Commercial shipping
Energy, including oil and gas exploration, extraction, and refining
Electric Power Generation and Distribution
Agriculture
Manufacturing
Health Care |
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