Stochastic Optimization vs. Sensitivity Analysis
Understanding when to use each approach for decisions under uncertainty
optimizationstochasticdecision-science
Sensitivity analysis asks how fragile a plan is when inputs wiggle; stochastic optimization asks what plan is best when the future is a distribution, not a point. Both have a place, and mixing them up leads to either false confidence or over-engineered models. This post helps you pick the right tool when leadership wants “robust” without a precise definition.
This article was originally published on Medium. Read the full article here.