This paper investigates the synergies between decision analysis and systems engineering along multiple dimensions including: Humans and groups, Uncertainty quantification, Preferences, Reasoning, and aggregation. We discuss the implications of these findings in developing practical approaches to systems engineering and their implementation including potential changes to the existing systems engineering curricula. In particular, we discuss the role of humans, role of method, role of data and machine learning, updating information, and valuing information in uncertainty quantification. We also discuss the risk-taking propensity ( individual vs corporate or group), and the role of cognitive and motivational biases in group decision making.
Finally, we discuss the role of reasoning when methods such as Internal Rate of Return are insufficient.