Applications of Stochastic Programming

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The Symbolic Interior Point Method (2016, background): “For example, (Fourer, Gay, and Kernighan 1993; Wallace and Ziemba 2005) are interested in intuitive modeling languages for optimization, and allow sets of objects to index LP variables.”
Multistage Stochastic Programming: A Scenario Tree Based Approach to Planning under Uncertainty (2011, background): “Problems where this situation arises include capacity planning , production planning, transportation and logistics, financial management, and others (Wallace & Ziemba, 2005).”
Large-Scale Integration of Deferrable Demand and Renewable Energy Sources (2014, methodology): “This problem has been addressed in a static (single-period) setting by Chao and Wilson [39], Oren, Smith and Wilson [40] and Gedra and Varaiya [41].”
Progressive hedging innovations for a class of stochastic mixed-integer resource allocation problems (2011, background): “Many planning problems are effectively modeled as multi-stage stochastic programs (Birge and Louveaux 1997; Hochreiter and Pflug 2009; Kall and Wallace 1994; Wallace and Ziemba 2005).”
Measuring and maximizing resilience of freight transportation networks (2012, background): “See (Wallace and Ziemba, 2005) for a review of stochastic programming applications.”