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Decision Support
Leveraging Information and Analysis for Effective Decision Making

FR OM TO
Systems engineers explore a limited number of Systems engineers rapidly explore a broad
design alternatives primarily based on determin- space of alternatives to maximize overall value,
istic models of performance, physical con- based on a comprehensive set of measures
straints, cost and risk. including performance, physical constraints,
security, resilience, cost and risk.

Decision support tools must comprehensively will be able to perform increasingly detailed trade
support each aspect of the decision making studies and analyses. Optimization tools will be
process. Through composition of reference used broadly, taking advantage of vast, inexpen-
components and scenarios, a much broader set sive cloud-computing resources to identify system
of system architectures will be defined and con- alternatives that are most likely to maximize life
sidered. A decision support dashboard will assist cycle value under uncertainty. Visualization tools
the systems engineer in using sensitivity and will enable interactive analysis from many dif-
uncertainty analysis to analyze a system design ferent stakeholder-specific viewpoints, allowing
from all relevant perspectives across the entire life decision makers to gain new insights, perform
cycle. While adding fidelity to models, adapting what-if analyses, and make decisions with confi-
modeling formalisms, and combining multiple dence.
concurrent modeling efforts, systems engineers

DECISION MAK-
ERS WILL HAVE
MORE INFOR-
MATION, AND
OPTIONS FROM
WHICH TO DRAW
CONCLUSIONS.

Copyright 2014 International Council on Systems Engineering The Future State • 37