A Framework for Model Based Decision Making

Award Information
Agency:
Department of Defense
Branch
n/a
Amount:
$149,964.00
Award Year:
2013
Program:
SBIR
Phase:
Phase I
Contract:
FA9453-13-M-0176
Award Id:
n/a
Agency Tracking Number:
F131-080-0648
Solicitation Year:
2013
Solicitation Topic Code:
AF131-080
Solicitation Number:
2013.1
Small Business Information
VA, Suite 2000, Blacksburg, VA, 24060-6472
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
938911427
Principal Investigator:
Andy Ko
Application Engineer
(540) 961-7215
ako@phoenix-int.com
Business Contact:
Robin Campbell
Controller
(540) 961-7215
rcampbell@phoenix-int.com
Research Institution:
n/a
Abstract
ABSTRACT: This proposal seeks to provide a software framework by which a decision maker can participate in complex systems design. It involves building on an already developed engineering integration and trade study tool (ModelCenter) paired with a SysML environment (e.g. MagicDraw or Rhapsody). The new features will include the auto-generation of user interfaces for decision support as well as the ability to compose new architectures automatically. In particular, easy to use"dashboard"visualization techniques will allow decision makers of various interests to better understand the significance of parameter changes within complex systems and thus aid in communication and design evaluation. The system capabilities will be based on a Core Architecture Model (CAM) for Air Force ISR satellite constellation systems. Tasks will include creating a representative satellite system model, formulating the infrastructure for decision support including auto-generator user interface tools, developing satellite architecture generation techniques, and applying the technology to representative Air Force and industry problems. Although the tool-suite will be tailored specifically to satellite systems in this work, it will be based on a generic infrastructure that can be applied to any complex system development program. BENEFIT: Benefits include improved communication between stakeholders, better decision making, and a more explicit understanding of the effects of engineering constraints on overall cost, schedule, and risk for new systems. These are based on a rigorous, model-based connection between system decisions and actual engineering computations, traceability and documentation of changes that are made, and communication of engineering results back up the chain of command to the decision maker. These capabilities couple decision makers with engineers, enabling more precise and informed architecture decisions within and between complex systems. Although the capability will be developed for Air Force satellite constellation systems, the advantages are readily applicable to any complex system design project, military or commercial. The same need to improve the link between engineers and various communities of decision makers exists whether the project involves military acquisition or commercial global competitiveness. This is a timely topic given the expansion of model based systems technology and the need to incorporate additional economic and life-cycle considerations into all design processes.

* information listed above is at the time of submission.

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