A decision support system for improved resource planning and truck routing at logistic nodes
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DOI: 10.1007/s10799-016-0267-3
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Cited by:
- Dornemann, Jorin & Rückert, Nicolas & Fischer, Kathrin & Taraz, Anusch, 2020. "Artificial intelligence and operations research in maritime logistics," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), Data Science in Maritime and City Logistics: Data-driven Solutions for Logistics and Sustainability. Proceedings of the Hamburg International Conferen, volume 30, pages 337-381, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
- Valentin Carlan & Dries Naudts & Pieter Audenaert & Bart Lannoo & Thierry Vanelslander, 2019. "Toward implementing a fully automated truck guidance system at a seaport: identifying the roles, costs and benefits of logistics stakeholders," Journal of Shipping and Trade, Springer, vol. 4(1), pages 1-24, December.
- Loske, Dominic & Klumpp, Matthias, 2021. "Human-AI collaboration in route planning: An empirical efficiency-based analysis in retail logistics," International Journal of Production Economics, Elsevier, vol. 241(C).
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Keywords
Decision support systems; Forecasting; Predictive analytics; Truck routing; Resource planning;All these keywords.
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