SBIR-STTR Award

A hybrid forecasting tool for distributed mission planning
Award last edited on: 3/8/2002

Sponsored Program
SBIR
Awarding Agency
NASA : JSC
Total Award Amount
$70,000
Award Phase
1
Solicitation Topic Code
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Principal Investigator
Thomas G Nienhaus Jr

Company Information

Nienhaus & Associates

1899 North Fortville Pike
Greenfield, IN 46140
   (317) 462-5805
   N/A
   N/A
Location: Single
Congr. District: 06
County: Hancock

Phase I

Contract Number: ----------
Start Date: ----    Completed: ----
Phase I year
1993
Phase I Amount
$70,000
Traditional project management relies on hierarchically structured projects. As organizations decentralize, the need for distributed planning increases concomitant with a greater need for communication. Operations planning through distributed simulation has been shown to be an appropriate means of organizational role playing. We propose as the innovation to apply a hybrid Genetic Algorithm and decision rules as the embedded decision mechanism within a distributed simulation environment. This provides a tool for forecasting performance of Mission Operations Systems in manned space flight operations, within the simulation, "what-if" framework.The project management simulation has the potential to serve as an on-line forecasting tool. Management would have the ability to assess cost and schedule forecasts using current distributed information. Such a forecasting tool would benefit large scale engineering development, or project-driven organizations.Project Management, Distributed Simulation, Genetic Algorithms

Phase II

Contract Number: ----------
Start Date: ----    Completed: ----
Phase II year
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Phase II Amount
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