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Hybrid robust and stochastic optimization for closed-loop supply chain network design using accelerated Benders decomposition
Keyvanshokooh, Esmaeil; Ryan, Sarah M.; Kabir, Elnaz - In: European journal of operational research : EJOR 249 (2016) 1, pp. 76-92
Persistent link: https://www.econbiz.de/10011434878
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Integration of progressive hedging and dual decomposition in stochastic integer programs
Guo, Ge; Hackebeil, Gabriel; Ryan, Sarah M.; Watson, … - In: Operations research letters 43 (2015) 3, pp. 311-316
Persistent link: https://www.econbiz.de/10011309532
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Robust design of a closed-loop supply chain network for uncertain carbon regulations and random product flows
Gao, Nan; Ryan, Sarah M. - In: EURO journal on transportation and logistics 3 (2014) 1, pp. 5-34
Persistent link: https://www.econbiz.de/10010374435
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Observational data-based quality assessment of scenario generation for stochastic programs
Ay, Didem Sarı; Ryan, Sarah M. - In: Computational Management Science : CMS 16 (2019) 3, pp. 521-540
Persistent link: https://www.econbiz.de/10012053155
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Solution sensitivity-based scenario reduction for stochastic unit commitment
Feng, Yonghan; Ryan, Sarah M. - In: Computational Management Science : CMS 13 (2016) 1, pp. 29-62
Persistent link: https://www.econbiz.de/10011669232
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Portfolio rebalancing based on time series momentum and downside risk
Guo, Xiaoshi; Ryan, Sarah M. - In: IMA journal of management mathematics 34 (2023) 2, pp. 355-381
Persistent link: https://www.econbiz.de/10014313747