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Special issue on 2021 TSL workshop : supply and demand interplay in transport and logistics
Azadeh, Shadi Sharif; Spliet, Remy; Agatz, Niels; … - In: Transportation science 57 (2023) 6, pp. 1404-1405
Persistent link: https://www.econbiz.de/10014464373
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Machine learning-based feasibility checks for dynamic time slot management
Hagen, Liana van der; Agatz, Niels; Spliet, Remy; … - In: Transportation science 58 (2024) 1, pp. 94-109
Persistent link: https://www.econbiz.de/10014465182
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Dynamic courier capacity acquisition in rapid delivery systems : a deep Q-learning approach
Auad, Ramon; Erera, Alan; Savelsbergh, Martin W. P. - In: Transportation science 58 (2024) 1, pp. 67-93
Persistent link: https://www.econbiz.de/10014465164
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Compact formulations for split delivery routing problems
Munari, Pedro; Savelsbergh, Martin W. P. - In: Transportation science 56 (2022) 4, pp. 1022-1043
Persistent link: https://www.econbiz.de/10013365645
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Service network design for same-day delivery with hub capacity constraints
Wu, Haotian; Herszterg, Ian; Savelsbergh, Martin W. P.; … - In: Transportation science 57 (2023) 1, pp. 273-287
Persistent link: https://www.econbiz.de/10014310700
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The dynamic freight routing problem for less-than-truckload carriers
Baubaid, Ahmad; Boland, Natashia; Savelsbergh, Martin W. P. - In: Transportation science 57 (2023) 3, pp. 717-740
Persistent link: https://www.econbiz.de/10014311104
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A prescriptive machine learning method for courier scheduling on crowdsourced delivery platforms
Behrendt, Adam; Savelsbergh, Martin W. P.; Wang, He - In: Transportation science 57 (2023) 4, pp. 889-907
Persistent link: https://www.econbiz.de/10014329931
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Multi-period workload balancing in last-mile urban delivery
Wang, Yang; Zhao, Lei; Savelsbergh, Martin W. P.; Wu, … - In: Transportation science 56 (2022) 5, pp. 1348-1368
Persistent link: https://www.econbiz.de/10013375142