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A cutting-plane approach for large-scale capacitated multi-period facility location using a specialized interior-point method

Author

Listed:
  • Jordi Castro
  • Stefano Nasini

    (LEM - Lille économie management - UMR 9221 - UA - Université d'Artois - UCL - Université catholique de Lille - Université de Lille - CNRS - Centre National de la Recherche Scientifique)

  • Francisco Saldanha-Da-Gama

Abstract

No abstract is available for this item.

Suggested Citation

  • Jordi Castro & Stefano Nasini & Francisco Saldanha-Da-Gama, 2017. "A cutting-plane approach for large-scale capacitated multi-period facility location using a specialized interior-point method," Post-Print hal-01745324, HAL.
    • Handle: RePEc:hal:journl:hal-01745324
    DOI: 10.1007/s10107-016-1067-6
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    Citations

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    Cited by:

    1. Daniel Baena & Jordi Castro & Antonio Frangioni, 2020. "Stabilized Benders Methods for Large-Scale Combinatorial Optimization, with Application to Data Privacy," Management Science, INFORMS, vol. 66(7), pages 3051-3068, July.
    2. Saldanha-da-Gama, Francisco, 2022. "Facility Location in Logistics and Transportation: An enduring relationship," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 166(C).
    3. Laureano F. Escudero & María Araceli Garín & Celeste Pizarro & Aitziber Unzueta, 2018. "On efficient matheuristic algorithms for multi-period stochastic facility location-assignment problems," Computational Optimization and Applications, Springer, vol. 70(3), pages 865-888, July.
    4. Sai Ji & Gaidi Li & Dongmei Zhang & Xianzhao Zhang, 2023. "Approximation algorithms for the capacitated correlation clustering problem with penalties," Journal of Combinatorial Optimization, Springer, vol. 45(1), pages 1-16, January.
    5. Sauvey, Christophe & Melo, Teresa & Correia, Isabel, 2019. "Two-phase heuristics for a multi-period capacitated facility location problem with service-differentiated customers," Technical Reports on Logistics of the Saarland Business School 16, Saarland University of Applied Sciences (htw saar), Saarland Business School.
    6. Nasini, Stefano & Nessah, Rabia, 2024. "Time-flexible min completion time variance in a single machine by quadratic programming," European Journal of Operational Research, Elsevier, vol. 312(2), pages 427-444.
    7. Di, Zhen & Yang, Lixing & Shi, Jungang & Zhou, Housheng & Yang, Kai & Gao, Ziyou, 2022. "Joint optimization of carriage arrangement and flow control in a metro-based underground logistics system," Transportation Research Part B: Methodological, Elsevier, vol. 159(C), pages 1-23.
    8. Ningxuan Kang & Hao Shen & Ye Xu, 2022. "JD.com Improves Delivery Networks by a Multiperiod Facility Location Model," Interfaces, INFORMS, vol. 52(2), pages 133-148, March.
    9. Corberán, Ángel & Landete, Mercedes & Peiró, Juanjo & Saldanha-da-Gama, Francisco, 2020. "The facility location problem with capacity transfers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 138(C).
    10. Kınay, Ömer Burak & Saldanha-da-Gama, Francisco & Kara, Bahar Y., 2019. "On multi-criteria chance-constrained capacitated single-source discrete facility location problems," Omega, Elsevier, vol. 83(C), pages 107-122.
    11. López-Ramos, Francisco & Nasini, Stefano & Sayed, Mohamed H., 2020. "An integrated planning model in centralized power systems," European Journal of Operational Research, Elsevier, vol. 287(1), pages 361-377.
    12. Nasini, Stefano & Nessah, Rabia, 2021. "An almost exact solution to the min completion time variance in a single machine," European Journal of Operational Research, Elsevier, vol. 294(2), pages 427-441.
    13. Castro, Jordi & Nasini, Stefano, 2021. "A specialized interior-point algorithm for huge minimum convex cost flows in bipartite networks," European Journal of Operational Research, Elsevier, vol. 290(3), pages 857-869.
    14. Pearce, Robin H. & Forbes, Michael, 2018. "Disaggregated Benders decomposition and branch-and-cut for solving the budget-constrained dynamic uncapacitated facility location and network design problem," European Journal of Operational Research, Elsevier, vol. 270(1), pages 78-88.

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