Decision analysis supports system life cycle development throughout all
phases and system hierarchical levels. The course presents the trade
study process as part of the systems engineering process, and introduces various
decision analysis methods, including the traditional trade study methods, trade
space for Cost as Independent Variable (CAIV), Analytic Hierarchy Process (AHV)
as a part of the Analytic Network Process (ANP), Potentially All Pairwise
Rankings of All Possible Alternatives (PAPRIKA), and Decision Analysis with
Who Should Attend
This course will be of interest to engineers, program and project managers, software
engineers, information technology specialists, educators, and other
professionals who need to learn how to make optimal decisions.
the trade study process and its role in the overall systems engineering
the traditional trade study methods: defining selection criteria, identifying
weights, identifying alternatives, defining scoring criteria, scoring
alternatives, calculating ratings for alternatives, and performing sensitivity
how to develop decision trees as hierarchical guidance for different levels of
the trade study role and contribution to Cost as Independent Variable (CAIV).
how to use and apply decision analysis methods including Analytic Hierarchy
Process (AHV) as part of the Analytic Network Process (ANP), Weighted Sum Model
(WSM), Potentially All Pairwise Rankings of All Possible Alternatives
(PAPRIKA), and Decision Analysis with Uncertain Information/Data.
how to write a credible, organized, structured, and thorough trade study