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The recoverable robust two-level network design problem
Álvarez-Miranda, Eduardo; Ljubić, Ivana; Raghavan, S.; … - In: INFORMS journal on computing : JOC 27 (2015) 1, pp. 1-19
Persistent link: https://www.econbiz.de/10010505114
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Value of modular production concepts in future chemical industry production networks
Becker, Tristan; Lier, Stefan; Werners, Brigitte - In: European journal of operational research : EJOR 276 (2019) 3, pp. 957-970
Persistent link: https://www.econbiz.de/10012003700
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Convex relaxatrions for gas expansion planning
Borraz-Sánchez, Conrado; Bent, Russell; Backhaus, Scott; … - In: INFORMS journal on computing : JOC 28 (2016) 4, pp. 645-656
Persistent link: https://www.econbiz.de/10011617541
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Optimizing Walmart's supply chain from strategy to execution
Mehrotra, Prakhar; Fu, Mingang; Huang, Jing; … - In: INFORMS journal on applied analytics 54 (2024) 1, pp. 5-19
Persistent link: https://www.econbiz.de/10014486990
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Interpreting clusters via prototype optimization
Carrizosa, Emilio; Kurishchenko, Kseniia; Marín, Alfredo; … - In: Omega : the international journal of management science 107 (2022), pp. 1-13
Persistent link: https://www.econbiz.de/10014304678
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On clustering and interpreting with rules by means of mathematical optimization
Carrizosa, Emilio; Kurishchenko, Kseniia; Marín, Alfredo; … - In: Computers & operations research : and their … 154 (2023), pp. 1-19
Persistent link: https://www.econbiz.de/10014307360
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Scenario grouping in a progressive hedging-based meta-heuristic for stochastic network design
Crainic, Teodor Gabriel; Hewitt, Mike; Rei, Walter - In: Computers & operations research : and their … 43 (2014), pp. 90-99
Persistent link: https://www.econbiz.de/10010241293
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Turner blazes a trail for audience targeting on television with operations research and advanced analytics
Carbajal, José Antonio; Williams, Peter; Popescu, Andreea - In: INFORMS journal on applied analytics 49 (2019) 1, pp. 64-89
Persistent link: https://www.econbiz.de/10012024050
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Performance evaluation of machine learning approaches for credit scoring
Cao, Anqi; He, Hongliang; Chen, Zixuan; Zhang, Wenyu - In: International journal of economics, finance and … 6 (2018) 6, pp. 255-260
Persistent link: https://www.econbiz.de/10012000482
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Forecasting customer churn : comparing the performance of statistical methods on more than just accuracy
Duchemin, Ronan; Matheus, Ricardo - In: Journal of supply chain management science : JSCMS 2 (2021) 3/4, pp. 115-137
There is a consensus that the best way to forecast customer churn is by statistical methods. It is, however, unclear when which statistical method is more appropriate. This study aims to provide a set of guidelines to data scientists and researchers who are interested in optimizing statistical...
Persistent link: https://www.econbiz.de/10013447660