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Robust Scenario Formulations for Strategic Supply Chain Optimization under Uncertainty
7 references·1 citing·32 second hop
Robust Scenario Formulations for Strategic Supply Chain Optimization under Uncertainty (2013)Robust Scenario Formulations for Strategi…Optimal design of sustainable chemical processes and supply chains: A review (2012)Optimal design of sustainable…Multicut Benders decomposition algorithm for process supply chain planning under uncertainty (2011)Multicut Benders decompositio…Introduction to Stochastic Programming (2011)Introduction to Stochastic Pr…Robust Optimization (2009)Robust OptimizationPrimal and dual linear decision rules in stochastic and robust optimization (2009)Primal and dual linear decisi…Adjustable robust solutions of uncertain linear programs (2004)Adjustable robust solutions o…Robust Convex Optimization (1998)Robust Convex OptimizationOptimization under uncertainty in the era of big data and deep learning: When machine learning meets mathematical programming (2019)Optimization under uncertaint…Optimization of conditional value-at-risk (2000)The Price of Robustness (2004)Recent advances in robust optimization: An overview (2013)Distributionally Robust Convex Optimization (2014)Frameworks and Results in Distributionally Robust Optimization (2022)Stochastic Programming (1995)Robust solutions of uncertain linear programs (1999)Solving two-stage robust optimization problems using a column-and-constraint generation method (2013)Supply chain network design under uncertainty: A comprehensive review and future research directions (2017)Measuring supply chain performance (1999)Green supply‐chain management: A state‐of‐the‐art literature review (2007)From a literature review to a conceptual framework for sustainable supply chain management (2008)Sustainable supply chain network design: An optimization-oriented review (2015)Circular Economy - A challenge and an opportunity for Process Systems Engineering (2019)Green supply chain quantitative models for sustainable inventory management: A review (2021)Introduction to Stochastic Programming (1997)A stochastic programming approach for supply chain network design under uncertainty (2004)Design of Resilient Supply Chains with Risk of Facility Disruptions (2014)Benders’ decomposition for concurrent redesign of forward and closed-loop supply chain network with demand and return uncertainties (2015)Robust Optimization of Large-Scale Systems (1995)Robust Discrete Optimization and Its Applications (1997)Robust Discrete Optimization and Its Applications. (1998)Theory and Applications of Robust Optimization (2010)Regret in Decision Making under Uncertainty (1982)Multiple kernel learning-aided robust optimization: Learning algorithm, computational tractability, and usage in multi-stage decision-making (2020)Data science and big data analytics: a systematic review of methodologies used in the supply chain and logistics research (2023)Rethinking "Risk" in Algorithmic Systems Through A Computational Narrative Analysis of Casenotes in Child-Welfare (2023)Conditional value-at-risk for general loss distributions (2002)Lectures on Stochastic Programming (2009)Theory and Applications of Robust Optimization (2011)Data-Driven Distributionally Robust Optimization Using the Wasserstein Metric: Performance Guarantees and Tractable Reformulations (2015)Data-driven distributionally robust optimization using the Wasserstein metric: performance guarantees and tractable reformulations (2017)
this work references cited by second hop

References

  • 2011Introduction to Stochastic Programming6,490 cited
  • 2009Robust Optimization3,008 cited
  • 1998Robust Convex Optimization2,606 cited
  • 2004Adjustable robust solutions of uncertain linear programs1,586 cited
  • 2009Primal and dual linear decision rules in stochastic and robust optimization259 cited
  • 2012Optimal design of sustainable chemical processes and supply chains: A review134 cited
  • 2011Multicut Benders decomposition algorithm for process supply chain planning under uncertainty118 cited

Cited by

  • 2019Optimization under uncertainty in the era of big data and deep learning: When machine learning meets mathematical programming359 cited

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