Multi-objective optimization of the auto-carrier loading and routing problem in an automotive logistics company

References

• Agbegha, G. Y., Ballou, R. H., & Mathur, K. (1998). Optimizing auto-carrier loading. Transportation Science, 32(2), 174–188. https://doi.org/10.1287/trsc.32.2.174
   Web of Science ®Google Scholar
• Alonso-Pecina, F., Romero, D., & Cruz-Chávez, M. A. (2023). Iterated local search for the label printing problem. Journal of the Operational Research Society, 1–10. https://doi.org/10.1080/01605682.2023.2174053
   Web of Science ®Google Scholar
• Billing, C., Jaehn, F., & Wensing, T. (2018). A multiperiod auto-carrier transportation problem with probabilistic future demands. Journal of Business Economics, 88(7–8), 1009–1028. https://doi.org/10.1007/s11573-018-0904-x
   Google Scholar
• Bonassa, A. C., Cunha, C. B., & Isler, C. A. (2019). An exact formulation for the multi-period auto-carrier loading and transportation problem in brazil. Computers & Industrial Engineering, 129, 144–155. https://doi.org/10.1016/j.cie.2019.01.028
   Web of Science ®Google Scholar
• Chen, H. (2016). A heuristic algorithm for the auto-carrier loading problem. International Journal of Shipping and Transport Logistics, 8(1), 21–50. https://doi.org/10.1504/IJSTL.2016.073313
   Web of Science ®Google Scholar
• Chen, S., Golden, B., & Wasil, E. (2007). The split delivery vehicle routing problem: Applications, algorithms, test problems, and computational results. Networks, 49(4), 318–329. https://doi.org/10.1002/net.20181
   Web of Science ®Google Scholar
• Cordeau, J.-F., Dell’Amico, M., Falavigna, S., & Iori, M. (2015). A rolling horizon algorithm for auto-carrier transportation. Transportation Research Part B: Methodological, 76, 68–80. https://doi.org/10.1016/j.trb.2015.02.009
   Web of Science ®Google Scholar
• Davari, S., & Woensel, T. V. (2021). The elderly centre location problem. Journal of the Operational Research Society, 72(6), 1207–1220. https://doi.org/10.1080/01605682.2020.1718020
   Web of Science ®Google Scholar
• de Armas, J., & Melián-Batista, B. (2015). Variable neighborhood search for a dynamic rich vehicle routing problem with time windows. Computers & Industrial Engineering, 85, 120–131. https://doi.org/10.1016/j.cie.2015.03.006
   Web of Science ®Google Scholar
• Dell’Amico, M., Falavigna, S., & Iori, M. (2015). Optimization of a real-world auto-carrier transportation problem. Transportation Science, 49(2), 402–419. https://doi.org/10.1287/trsc.2013.0492
   Web of Science ®Google Scholar
• Hu, Z. H., Zhao, Y., Tao, S., & Sheng, Z. H. (2015). Finished-vehicle transporter routing problem solved by loading pattern discovery. Annals of Operations Research, 234(1), 37–56. https://doi.org/10.1007/s10479-014-1777-1
   Web of Science ®Google Scholar
• Lin, C. H. (2013). An exact solving approach to the auto-carrier loading problem. Journal of Society for Transportation and Traffic Studies, 1, 93–107.
   Google Scholar
• Miller, B. (2003). Auto carrier transporter loading and unloading improvement. Technical Report. Air Force Institute of Technology.
   Google Scholar
• Pastor, R., García-Villoria, A., Laguna, M., & Martí, R. (2015). Metaheuristic procedures for the lexicographic bottleneck assembly line balancing problem. Journal of the Operational Research Society, 66(11), 1815–1825. https://doi.org/10.1057/jors.2014.138
   Web of Science ®Google Scholar
• Shahmanzari, M., Aksen, D., & Salhi, S. (2022). Multi-period travelling politician problem: A hybrid metaheuristic solution method. Journal of the Operational Research Society, 73(6), 1325–1346. https://doi.org/10.1080/01605682.2021.1895684
   Web of Science ®Google Scholar
• Tadei, R., Perboli, G., & Della Croce, F. (2002). A heuristic algorithm for the auto-carrier transportation problem. Transportation Science, 36(1), 55–62. https://doi.org/10.1287/trsc.36.1.55.567
   Web of Science ®Google Scholar
• Tai, R., Ouyang, D., Li, R., & Zhang, L. (2023). ILSGVCP: An improved local search algorithm for generalized vertex cover problem. Journal of the Operational Research Society, 1–9. https://doi.org/10.1080/01605682.2022.2147458
   Web of Science ®Google Scholar
• Wang, Y., Chen, F., & Chen, Z. L. (2018). Pickup and delivery of automobiles from warehouses to dealers. Transportation Research Part B: Methodological, 117, 412–430. https://doi.org/10.1016/j.trb.2018.08.011
   Web of Science ®Google Scholar
• Wensing, T. (2018). Social and environmental impact of advances in economically driven transport optimization: Case study in automobile distribution (pp. 195–210). Springer International Publishing.
   Google Scholar
• Yuan, Y., Zhen, L., Wu, J., & Wang, X. (2022). Quantum behaved particle swarm optimization of inbound process in an automated warehouse. Journal of the Operational Research Society, 1–16. https://doi.org/10.1080/01605682.2022.2129488
   Web of Science ®Google Scholar
• Zhang, Q., Zeng, Q., & Yang, H. (2016). A lexicographic optimization approach for berth schedule recovery problem in container terminals. Transport, 31(1), 76–83. https://doi.org/10.3846/16484142.2016.1125387
   Web of Science ®Google Scholar
• Zouein, P., & Kattan, S. (2022). An improved construction approach using ant colony optimization for solving the dynamic facility layout problem. Journal of the Operational Research Society, 73(7), 1517–1531. https://doi.org/10.1080/01605682.2021.1920345
   Web of Science ®Google Scholar