Planning, scheduling, and control decisions often involve conflicting priorities from multiple stakeholders (e.g., due to different perceptions of risk). We present a new framework for multi-stakeholder optimization to compute optimal compromise solutions among stakeholders. In this setting, stakeholder opinions are interpreted as random variables, establishing a parallel between stochastic and...