Process / pipelineSimulation / optimization

Policy Scenario Integer Programming — Discrete Optimization Across Policy Alternatives

Policy Scenario Integer Programming (PSIP) solves an integer programming model — where some or all decision variables must take whole-number values — separately under each of several distinct policy scenarios, then compares objective values, feasibility, and solution structures to identify which policy environment leads to the best discrete allocation or assignment outcome.

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Sources

  1. Birge, J. R., & Louveaux, F. (2011). Introduction to Stochastic Programming (2nd ed.). Springer. ISBN: 9781461402367
  2. Williams, H. P. (2013). Model Building in Mathematical Programming (5th ed.). Wiley. ISBN: 9781118443330

Related methods

ScholarGatePolicy Scenario Integer Programming (Policy Scenario Integer Programming — Discrete Optimization Across Policy Alternatives). Retrieved 2026-06-04 from https://scholargate.app/en/simulation/policy-scenario-integer-programming