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Cited by

• 2019Optimization under uncertainty in the era of big data and deep learning: When machine learning meets mathematical programming348 cited
• 2009Multi-objective stochastic supply chain modeling to evaluate tradeoffs between profit and quality151 cited
• 2008Mixed-Integer Nonlinear Programming Models and Algorithms for Large-Scale Supply Chain Design with Stochastic Inventory Management151 cited
• 2008A reinforcement learning model for supply chain ordering management: An application to the beer game148 cited
• 2009Integrated multi‐echelon supply chain design with inventories under uncertainty: MINLP models, computational strategies139 cited
• 2014Tactical supply chain planning models with inherent flexibility: definition and review109 cited
• 2022Pandemic, War, Natural Calamities, and Sustainability: Industry 4.0 Technologies to Overcome Traditional and Contemporary Supply Chain Challenges109 cited
• 2008A multi-echelon inventory management framework for stochastic and fuzzy supply chains77 cited
• 2018A two-stage stochastic programming approach for identifying optimal postponement strategies in supply chains with uncertain demand74 cited
• 2018Advances in stochastic programming and robust optimization for supply chain planning57 cited
• 2010A new methodology for multi-echelon inventory management in stochastic and neuro-fuzzy environments56 cited
• 2014A tactical supply chain planning model with multiple flexibility options: an empirical evaluation