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 Uncertain Information/Data.
- Understand the trade study process and its role in the overall systems engineering process.
- Learn the traditional trade study methods: defining selection criteria, identifying weights, identifying alternatives, defining scoring criteria, scoring alternatives, calculating ratings for alternatives, and performing sensitivity analysis.
- Learn how to develop decision trees as hierarchical guidance for different levels of trade studies.
- Learn the trade study role and contribution to Cost as Independent Variable (CAIV).
- Learn 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.
- Learn how to write a credible, organized, structured, and thorough trade study report.
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.