Process / pipelineSimulation / optimization

Robust Scenario Analysis — Worst-case and minimax regret evaluation under deep uncertainty

Robust Scenario Analysis evaluates a set of candidate strategies across a structured collection of plausible future scenarios and selects the strategy that performs acceptably well — or best in the worst case — regardless of which scenario materializes. It merges scenario planning with robustness criteria such as maximin, minimax regret, or satisficing to support decisions under deep, irreducible uncertainty.

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Sources

  1. Wald, A. (1950). Statistical Decision Functions. Wiley, New York. link
  2. Lempert, R. J., Popper, S. W., Bankes, S. C. (2003). Shaping the Next One Hundred Years: New Methods for Quantitative, Long-Term Policy Analysis. RAND Corporation, Santa Monica, CA. ISBN: 9780833032751

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Referenced by

ScholarGateRobust Scenario Analysis (Robust Scenario Analysis — Worst-case and minimax regret scenario evaluation under deep uncertainty). Retrieved 2026-06-04 from https://scholargate.app/en/simulation/robust-scenario-analysis