SBIR/STTR Research Award

ARRVUE: Aircraft RAMP Reallocation and Visualization with Unanticipated Events

Award identifier d3270103ed8bcbf3e1944762874747174f835b64c45f6128df9eaf798faf8febAwarding agency Department of Defense · Air Force

Award amount

$150,000

Program and phase

SBIR · Phase I

Award year

2015

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
KBR Wyle Services, LLC
Proposal award date
2014-10-27
Contract end date
2014-12-27
UEI
QWBYGNFNT4T6
Solicitation number
2013.1
Topic code
AF131-204

Research abstract

ABSTRACT: The ARRVUE solution addresses the identified need for a novel approach to re-planning and re-scheduling when unanticipated work requirements (e.g., corrosion, stress failure, etc.) are identified during initial aircraft inspection at an Air Force Air Logistics Complex. Aircraft RAMP Reallocation and Visualization with Unanticipated Events (ARRVUE) is a genetic algorithm solution to a complex integer programming problem that can generate optimized solutions for Repair Bay allocation. It provides planners with the ability to consider standard maintenance process flows with now modified specific work plans. Repair bay allocation is achieved using actual data from ALC systems under real-world constraints such as physical spots on the RAMP, manpower by skill type, and estimated days in work (DIW) to optimize allocation. The Phase I plan will deliver new functionality for dynamic re-planning that builds upon existing infrastructure for necessary data access, adequate computing, and visualization of the solution and solution test and evaluation for the ALC customer. TDKC will extend the successful Aircraft RAMP Visualization and Simulation System (ARViSS) prototype and complete RAMP simulation as a starting point for the ARRVUE development. The resulting environment provides RAMP planners with a graphical process editor and simulation for re-planning and evaluation of work plan changes. BENEFIT: ARRVUE solves the topic"s dynamic RAMP operations re-planning problem with innovative algorithms and optimization. Commercial applications are more and more reliant upon static planning systems, and are often ignorant of that dependency. From an economic perspective, failure to dynamically re-plan work under way (i.e., power generator scheduled maintenance for critical infrastructure) could be catastrophic. Additionally, we believe that the dynamic re-planning with constraints capability provided by ARRVUE could have numerous applications in other domains.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

75 SBIR/STTR records share this UEI (2003–2019). Reported award amounts total $36,682,848. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense

Agency intelligence

Department of Defense

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