Abstract

AbstractFinding a near‐optimal solution to a complex design problem is challenging. On the one hand the problem space is too large and convoluted for human comprehension, while on the other hand it is infeasible to elicit the entirety of design knowledge required for fully automatic problem solving.We report on a practical application of information technology techniques to aid system engineers effectively explore large design spaces. We make use of heuristic search, visualization and data mining, the combination of which we have implemented within a risk management tool in use at JPL and NASA.This approach is demonstrated on the planning for development of an advanced technology for spacecraft applications. In this context of risk‐informed design, numerous risk abatement options give rise to a huge space of potential design solutions. We show how our approach enhances the system engineers' ability to explore this design space.

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