DOI:
https://doi.org/10.14483/23448393.18468Published:
2022-01-05Issue:
Vol. 27 No. 1 (2022): January-AprilSection:
Sección Especial: Mejores artículos extendidos - WEA 2021A P-Robustness Approach for the Stochastic Inventory Routing Problem
Una aproximación a través del modelo p-robusto para el problema estocástico de ruteo e inventario
Keywords:
problema de ruteo e inventarios, p-robusto, incertidumbre (es).Keywords:
inventory routing problem, p-robustness, uncertainty (en).Downloads
References
L. C. Coelho, J.-F. Cordeau, and G. Laporte, “Consistency in multi-vehicle inventory-routing,” Transp. Res. Part C. https://doi.org/10.1016/j.trc.2012.03.007
C. Franco-Franco and J. C. Figueroa-García, “A column generation-based algorithm for solving combined inventory and routing problems,” Ingeniare, vol. 24, no. 2, 2016, doi: https://doi.org/10.4067/S0718-33052016000200012 DOI: https://doi.org/10.4067/S0718-33052016000200012
E.-H. Aghezzaf, B. Raa, and H. Van Landeghem, “Modeling inventory routing problems in supply chains of high consumption products,” Eur. J. Oper. Res., vol. 169, no. 3, pp. 1048–1063, Mar. 2006, doi: https://doi.org/10.1016/j.ejor.2005.02.008 DOI: https://doi.org/10.1016/j.ejor.2005.02.008
C. Archetti, L. Bertazzi, G. Laporte, and M. G. Speranza, “A Branch-and-Cut Algorithm for a Vendor-Managed Inventory-Routing Problem,” Transp. Sci., vol. 41, no. 3, pp. 382–391, Aug. 2007, doi: https://doi.org/10.1287/trsc.1060.0188 DOI: https://doi.org/10.1287/trsc.1060.0188
L. C. Coelho and G. Laporte, “The exact solution of several classes of inventory-routing problems,” Comput. Oper. Res., vol. 40, no. 2, pp. 558–565, 2013, doi: https://doi.org/10.1016/j.cor.2012.08.012
E. Yadollahi, E. H. Aghezzaf, J. Walraevens, B. Raa, and D. Claeys, “Evaluating approximate solution models for the stochastic periodic inventory routing problem,” J. Manuf. Syst., vol. 50, pp. 25–35, Jan. 2019, doi: https://doi.org/10.1016/j.jmsy.2018.11.001 DOI: https://doi.org/10.1016/j.jmsy.2018.11.001
L. C. Coelho and G. Laporte, “The exact solution of several classes of inventory-routing problems,” Comput. Oper. Res., vol. 40, no. 2, pp. 558–565, 2013, doi: https://doi.org/10.1016/j.cor.2012.08.012 DOI: https://doi.org/10.1016/j.cor.2012.08.012
E. H. Aghezzaf, “Robust distribution planning for supplier-managed inventory agreements when demand rates and travel times are stationary,” J. Oper. Res. Soc., vol. 59, no. 8, pp. 1055–1065, 2008, doi: https://doi.org/10.1057/palgrave.jors.2602444 DOI: https://doi.org/10.1057/palgrave.jors.2602444
L. C. Coelho, J. F. Cordeau, and G. Laporte, “Heuristics for dynamic and stochastic inventory-routing,” Comput. Oper. Res., vol. 52, no. PART A, pp. 55–67, Dec. 2014, doi: https://doi.org/10.1016/j.cor.2014.07.001 DOI: https://doi.org/10.1016/j.cor.2014.07.001
M. Rahimi, A. Baboli, and Y. Rekik, “Multi-objective inventory routing problem: A stochastic model to consider profit, service level and green criteria,” Transp. Res. Part E Logist. Transp. Rev., vol. 101, pp. 59–83, May 2017, doi: https://doi.org/10.1016/j.tre.2017.03.001 DOI: https://doi.org/10.1016/j.tre.2017.03.001
R. Diaz, M. P. Bailey, and S. Kumar, “Analyzing a lost-sale stochastic inventory model with Markov-modulated demands: A simulation-based optimization study,” J. Manuf. Syst., vol. 38, pp. 1–12, Jan. 2016, doi: https://doi.org/10.1016/j.jmsy.2015.09.007 DOI: https://doi.org/10.1016/j.jmsy.2015.09.007
W. J. Bell et al., “Improving the Distribution of Industrial Gases with an On-Line Computerized Routing and Scheduling Optimizer,” Interfaces (Providence)., vol. 13, no. 6, pp. 4–23, Dec. 1983, doi: https://doi.org/10.1287/inte.13.6.4 DOI: https://doi.org/10.1287/inte.13.6.4
Q. J. Yeh, T. P. Chang, and H. C. Chang, “An inventory control model with Gamma distribution,” Microelectron. Reliab., vol. 37, no. 8, pp. 1197–1201, Aug. 1997, doi: https://doi.org/10.1016/S0026-2714(96)00295-8 DOI: https://doi.org/10.1016/S0026-2714(96)00295-8
F. Rayat, M. Musavi, and A. Bozorgi-Amiri, “Bi-objective reliable location-inventory-routing problem with partial backordering under disruption risks: A modified AMOSA approach,” Appl. Soft Comput., vol. 59, pp. 622–643, 2017, doi: https://doi.org/10.1016/j.asoc.2017.06.036 DOI: https://doi.org/10.1016/j.asoc.2017.06.036
L. C. Coelho, J.-F. Cordeau, and G. Laporte, “Consistency in multi-vehicle inventory-routing,” Transp. Res. Part C Emerg. Technol., vol. 24, pp. 270–287, Oct. 2012, doi: https://doi.org/10.1016/j.trc.2012.03.007 DOI: https://doi.org/10.1016/j.trc.2012.03.007
L. C. Coelho and G. Laporte, “Optimal joint replenishment, delivery and inventory management policies for perishable products,” Comput. Oper. Res., vol. 47, pp. 42–52, Jul. 2014, doi: https://doi.org/10.1016/j.cor.2014.01.013 DOI: https://doi.org/10.1016/j.cor.2014.01.013
L. V. Snyder and M. S. Daskin, “Stochastic p -robust location problems,” IIE Trans., vol. 38, no. 11, pp. 971–985, Nov. 2006, doi: https://doi.org/10.1080/07408170500469113 DOI: https://doi.org/10.1080/07408170500469113
C. Franco, V. Augusto, T. Garaix, E. Alfonso-Lizarazo, M. Bourdelin, and H. Bontemps, “Strategic territorial deployment of hospital pharmacy robots using a stochastic p-robust optimization approach,” in 2018 IEEE 14th International Conference on Automation Science and Engineering (CASE), Aug. 2018, pp. 390–395, doi: https://doi.org/10.1109/COASE.2018.8560374 DOI: https://doi.org/10.1109/COASE.2018.8560374
C. Franco Diana Guzmán Cortés Juan Carlos Figueroa García and N. L. Díaz Aldana, “Mathematical model for centralized supply chains with sharing resources decisions,” Ingeniería, vol. 25, no. 3, Oct. 2020, doi: https://doi.org/10.14483/23448393.16921 DOI: https://doi.org/10.14483/23448393.16921
C. Franco and E. Alfonso-Lizarazo, “Optimization under uncertainty of the pharmaceutical supply chain in hospitals,” Comput. Chem. Eng., vol. 135, p. 106689, Apr. 2020, doi: https://doi.org/10.1016/j.compchemeng.2019.106689 DOI: https://doi.org/10.1016/j.compchemeng.2019.106689
F. Morales, C. Franco, and G. Mendez-Giraldo, “Dynamic inventory routing problem: Policies considering network disruptions,” Int. J. Ind. Eng. Comput., vol. 9, no. 4, 2018, doi: https://doi.org/10.5267/j.ijiec.2017.11.001 DOI: https://doi.org/10.5267/j.ijiec.2017.11.001
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