DOI:
https://doi.org/10.14483/23448393.16921Published:
2020-10-02Issue:
Vol. 25 No. 3 (2020): September - DecemberSection:
Special Section: Best Extended Articles - WEA 2015Mathematical Model for Centralized Supply Chains with Decisions Involving Shared Resources
Modelo matemático para cadenas logísticas centralizadas con decisiones de recursos compartidos
Keywords:
Cadenas de suministro centralizadas, optimización bajo incertidumbre, recursos compartidos (es).Keywords:
Centralized supply chains, optimization under uncertainty, sharing resources (en).Downloads
References
D. P. Van Donk and T. Van Der Vaart, “A case of shared resources,uncertainty and supply chain integration in the process industry”, International Journal of Production Economics, vol. 96, no. 1, pp. 97–108, 2005. https://doi.org/10.1016/j.ijpe.2004.03.002
A. Mateen and A. K. Chatterjee, “Vendor managed inventory for single-vendor multi-retailer supply chains”, Decision Support Systems, vol. 70, pp. 31–41, 2015. https://doi.org/10.1016/j.dss.2014.12.002
A. M. Attiaa, A. M. Ghaithanb and S. O. Duffuaa, “A multi-objective optimization model for tactical planning of upstream oil and gas supply chains”, Computers and Chemical Engineering, vol. 128, pp. 216–227, 2019. https://doi.org/10.1016/j.compchemeng.2019.06.016
E. Huanga et al., “Multi-objective optimization for sustainable renewable jet fuel production: A case study of corn stover based supply chain system in Midwestern U.S.”, Renewable and Sustainable Energy Reviews, vol. 115, 2019. https://doi.org/10.1016/j.rser.2019.109403
J. Zarei and M. Amin-Naseri, “An integrated optimization model for natural gas supply chain”, Energy, vol. 185, pp. 1114–1130, 2019. https://doi.org/10.1016/j.energy.2019.07.117
C. Cheng, P. Yang, Q. Mingyao and L. Rousseau, “Modeling a green inventory routing problem with a heterogeneous fleet”, Transportation Research Part E: Logistics and Transportation Review, vol. 97, pp. 97–112, 2017. https://doi.org/10.1016/j.tre.2016.11.001
S. H. Chung and C. Kwon, “Integrated supply chain management for perishable products: Dynamics and oligopolistic competition perspectives with application to pharmaceuticals”, International Journal of Production Economics, vol. 179, pp. 117–129, 2016. https://doi.org/10.1016/j.ijpe.2016.05.021
M. Gebicki, E. Mooney, S. J. Chen and L. M. Mazur, “Evaluation of hospital medication inventory policies”, Health Care Management Science, vol. 17, no. 3, pp. 215–229, 2014. http://doi.org/10.1007/s10729-013-9251-1
L. C. Coelho, J.-F. Cordeau and G. Laporte, “Consistency in multi-vehicle inventory-routing”, Transportation Research Part C: Emerging Technologies, vol. 24, pp. 270–287, 2012. https://doi.org/10.1016/j.trc.2012.03.007
F. Morales, C. Franco and G. Mendez-Giraldo, “Dynamic inventory routing problem: Policies considering network disruptions”, International Journal of Industrial Engineering Computations, vol. 9, no. 4, 2018. http://doi.org/10.5267/j.ijiec.2017.11.001
A. Baboli, J. Fondrevelle, R. Tavakkoli-Moghaddam and A. Mehrabi, “A replenishment policy based on joint optimization in a downstream pharmaceutical supply chain: centralized vs. decentralized replenishment”, International Journal of Advanced Manufacturing Technology, vol. 57, pp. 367–378, 2011. https://doi.org/10.1007/s00170-011-3290-x
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”, Applied Soft Computing, vol. 59, pp. 622–643, 2017. https://doi.org/10.1016/j.asoc.2017.06.036
C. Franco, E. R. López-Santana and J. C. Figueroa-García, “Solving the interval green inventory routing problem using optimization and genetic algorithms”, in Communications in Computer and Information Science, vol. 742, pp. 556–564, 2017. https://doi.org/10.1007/978-3-319-66963-2_49
F. Morales, C. Franco and G. A. Mendez-Giraldo, “Success probability applied to inventory routing problem with time windows”, in Communications in Computer and Information Science, vol. 742, pp. 522–531, 2017. https://doi.org/10.1007/978-3-319-66963-2_49
A. C. Amaroa and A. P. Barbosa-Povoa, “Planning and scheduling of industrial supply chains with reverse flows: A real pharmaceutical case study”, Computers and Chemical Engineering, vol. 32, pp. 2606–2625, 2008. https://doi.org/10.1016/j.compchemeng.2008.03.006
E. López, G. A. Méndez and C. Franco, “Diseño de cadenas de distribución con demanda bajo incertidumbre: una aproximación de programación lineal difusa”, Revista Ingeniería, vol. 18, pp. 68–84, 2013. https://doi.org/10.14483/udistrital.jour.reving.2013.2.a05
J. Kim, B. D. Chung, Y. Kang and B. Jeong, “Robust optimization model for closed-loop supply chain planning under reverse logistics flow and demand uncertainty”, Journal of Cleaner Production, vol. 196, pp. 1314–1328, 2018. https://doi.org/10.1016/j.jclepro.2018.06.157
C. L. Quintero-Araujo, A. Gruler, J. Ángel and J. Faulin, “Using horizontal cooperation concepts in integrated routing and facility‐location decisions”, International Transactions in Operational Research, vol. 26, no. 2, pp. 551-576, 2017. https://doi.org/10.1111/itor.12479
J. Ángel, J. Faulin, E. Perez-Bernabeu and N. Josewoiez, “Horizontal Cooperation in Vehicle Routing Problems with Backhauling and Environmental Criteria”, Procedia. Social and Behavioral Sciences, vol. 111, pp. 1133–1141, 2014. https://doi.org/10.1016/j.sbspro.2014.01.148
C. Caballini, S. Sacone and M. Saeednia, “Cooperation among truck carriers in seaport containerized transportation”, Transportation Research Part E: Logistics and Transportation Review, vol. 93, pp. 38–56, 2016. https://doi.org/10.1016/j.tre.2016.05.007
R. Uthayakumar and S. Priyan, “Pharmaceutical supply chain and inventory management strategies: Optimization for a pharmaceutical company and a hospital”, Operations Research for Health Care, vol. 2, no. 3, pp. 52–64, 2013. https://doi.org/10.1016/j.orhc.2013.08.001
W. Wakeland, S. Cholette and K. Venkat, “Food transportation issues and reducing carbon footprint,” in Green Technologies in Food Production and Processing. Boston: Springer, 2012.
A. Cozzolino, S. Rossi and A. Conforti, “Agile and lean principles in the humanitarian supply chain: The case of the United Nations World Food Programme”, Journal of Humanitarian Logistics and Supply Chain Management, vol. 2, no. 1, pp. 16–33, 2012. http://doi.org/10.1108/20426741211225984
C. Franco, E. R. López-Santana and J. C. Figueroa-García, “A Mathematical Model Under Uncertainty for Optimizing Medicine Logistics in Hospitals”, in Applied Computer Sciences in Engineering. WEA 2018. Communications in Computer and Information Science, vol. 916. Cham: Springer, 2018. https://doi.org/10.1007/978-3-030-00353-1_5
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), Munich 2018, pp. 390–395.
C. Franco and J. C. Figueroa-García, “A column generation-based algorithm for solving combined inventory and routing problems,” Ingeniare. Revista chilena de ingeniería, vol. 24, no. 2, pp. 305–313, 2016. http://dx.doi.org/10.4067/S0718-33052016000200012
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