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https://doi.org/10.33936/eca_sinergia.v11i1.1097Keywords:
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The present work shows the use of the center of gravity methods, Weber and a network location problem in two different case studies of a cement industry and a food distribution, the objective is to determine the appropriate site for the installation of a new distribution center based on optimization models. In the first place, the data related to costs of the supply chain and geographical locations were searched through a study of costs and georeferencing programs respectively, then developed two programs for each case that comply with the constraints of the underlying mathematical model of linear programming used developed in Matlab with the GUIDE section. Finally, the Cartesian coordinates of the new installation proposed for the cement company were obtained. On the other hand, the distribution centers that must be enabled in the distribution network of a food company were defined, including the quantity of product that must be sent to the different consumer markets. The research establishes feasible solutions in the two cases of study generating the reduction of the routes for the organizat es el único ente regulador del comercio informal. Keywords: operational research; logistics; optimization techniques.Downloads
References
Aboolian, R., Berman, O., & Drezner, Z. (2008). Location and allocation of service units on a congested network. IIE Transactions, 40(4), 422 - 433. Doi:10.1080/07408170701411385. Recuperado el 20 de marzo de 2018, de http://dx.doi.org/10.1080/07408170701411385
Cabezas, I., & Páez, J. (2010). Matlab, Toolbox de optimización, aplicaciones en ciencias económicas. Bogota: Universidad Nacional de Colombia. Recuperado el 20 de marzo de 2018, de http://studylib.es/doc/8547153/matlab--toolbox-de-optimizaci%C3%B3n---facultad-de-ciencias-ec
Ghiani, G., Laporte, G., & Musmanno, R. (2004). Introduction to Logistics Systems Planning and Control. Ontario, Canada : Advisory Editors. Recuperado el 20 de marzo de 2018, de http://www.pc-freak.net/international_university_college_files/Introduction%20to%20Logistic%20Systems%20Planning%20&%20control.pdf.
Janáček, J., & Gábrišová, L. (2009). A two‐phase method for the capacitated facility problem of compact customer sub‐sets. Transport, 24(4), 274-282. Recuperado el 20 de marzo de 2018, de https://www.tandfonline.com/doi/pdf/10.3846/1648-4142.2009.24.274-282.
Klapita, V., & Švecová, Z. (2010). Logistics centers location. Transport, 21(1), 48-52. doi:10.1080/16484142.2006.9638041. Recuperado el 20 de marzo de 2018, de https://www.researchgate.net/publication/26541159_Logistics_centers_location.
Klose, A., & Drexl, A. (2003). Facility location models for distribution system design. European Journal of Operational Research. Doi:10.1016/j.ejor.2003.10.031. Recuperado el 20 de marzo de 2018, de https://pdfs.semanticscholar.org/4f25/62e55475f292a65179cc6b58a3618038563d.pdf.
Krajewski, L., & Ritzman, L. (2008). Administración de operaciones. Mexico: Perason Education.
Li, C., Mukherjee, A., Su , Q., & Xie, M. (2016). Optimal design of a distribution-free quality control scheme for cost-efficient monitoring of unknown location. International Journal of Production Research, 54(24), 7259-7273. Doi:10.1080/00207543.2016.1173254. Recuperado el 20 de marzo de 2018, de http://dx.doi.org/10.1080/00207543.2016.1173254
Peña, D. L., Bolaños, D. F., & Salcedo, P. F. (2016). Diseño de cadena de abastecimiento bajo el concepto de logística inversa para el sector manufacturero de papel en la zona centro del Valle del Cauca. Scientia et Technica, 21(4), 328-335. Recuperado el 20 de marzo de 2018, de http://revistas.utp.edu.co/index.php/revistaciencia/article/view/13191
Qi, J., Yang, L., Di, Z., Li, S., Yang, K., & Gao, Y. (2018). Integrated optimization for train operation zone and stop plan with passenger distributions. Transportation Research, 109, 151–173. Doi:10.1016/j.tre.2017.11.003. Recuperado el 20 de marzo de 2018, de https://doi.org/10.1016/j.tre.2017.11.003
Slack, N., Brandon-Jones, A., & Johnston, R. (2013). Operations Management. United Kingdom: Pitman Publishing, Pearson Education.
Spalanzani, A., Ageron, B., & Zouaghi, I. (2016). Manufacturing operations location decision: what are the main criteria? Supply Chain Forum: An International Journal, 1-13. Doi:10.1080/16258312.2016.1240227. Recuperado el 20 de marzo de 2018, de https://doi.org/10.1080/16258312.2016.1240227
Wang, Y., Tang, T., Ning, B., & Meng, L. (2017). Integrated optimization of regular train schedule and train circulation plan for urban rail transit lines. Transportation Research (105), 83–104. Doi:10.1016/j.tre.2017.06.001. Recuperado el 15 de marzo de 2018, de http://dx.doi.org/10.1016/j.tre.2017.06.001
Yin, J., Tang, T., Yang, L., Xun, J., Huang, Y., & Gao, Z. (2017). Research and development of automatic train operation for railway transportation systems: A survey. Transportation Research(85), 548–572. Doi:10.1016/j.trc.2017.09.009. Recuperado el 15 de marzo de 2018, de https://doi.org/10.1016/j.trc.2017.09.009
Yu, Y., Lyu, Z., Xu, Z., & Martins, J. R. (2018). On the influence of optimization algorithm and initial design on wing aerodynamic shape optimization. Aerospace Science and Technology(75), 183–199. Doi:10.1016/j.ast.2018.01.016. Recuperado el 14 de marzo de 2018, de https://doi.org/10.1016/j.ast.2018.01.016
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