Vehicle routing Problem for cold chain logistics based on data fusion technology to predict travel time
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DOI: 10.1007/s12351-024-00851-8
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- Feifeng Zheng & Yaxin Pang & Yinfeng Xu & Ming Liu, 2021. "Heuristic algorithms for truck scheduling of cross-docking operations in cold-chain logistics," International Journal of Production Research, Taylor & Francis Journals, vol. 59(21), pages 6579-6600, November.
- Stellingwerf, Helena M. & Groeneveld, Leendert H.C. & Laporte, Gilbert & Kanellopoulos, Argyris & Bloemhof, Jacqueline M. & Behdani, Behzad, 2021. "The quality-driven vehicle routing problem: Model and application to a case of cooperative logistics," International Journal of Production Economics, Elsevier, vol. 231(C).
- Lan Zhu & Dawei Hu, 2019. "Study on the vehicle routing problem considering congestion and emission factors," International Journal of Production Research, Taylor & Francis Journals, vol. 57(19), pages 6115-6129, October.
- Shuai Zhang & Yuvraj Gajpal & S. S. Appadoo, 2018. "A meta-heuristic for capacitated green vehicle routing problem," Annals of Operations Research, Springer, vol. 269(1), pages 753-771, October.
- Songyi Wang & Fengming Tao & Yuhe Shi, 2018. "Optimization of Location–Routing Problem for Cold Chain Logistics Considering Carbon Footprint," IJERPH, MDPI, vol. 15(1), pages 1-17, January.
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Keywords
Cold chain Logistics; Vehicle routing problem; Data fusion technology; Travel time prediction; GA-BP; NSGA-II;All these keywords.
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