Logistics Solutions in the Preparation Phase for the Appearance of Disasters

Logistics Solutions in the Preparation Phase for the Appearance of Disasters

Volume 5, Issue 4, Page No 323-330, 2020

Author’s Name: Erika Barojas-Payán1,a), Diana Sánchez-Partida2, Miguel-Josué Heredia-Roldan3, Victorino Juárez-Rivera1, Jesús Medina-Cervantes1

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1Faculty of Engineering, Veracruz University, Xalapa 94466, Mexico
2Department of Logistics and Supply Chain Management, Universidad Popular Autónoma del Estado de Puebla, Puebla 72410, Mexico
3Gustavo A. Madero Technological Institute, Technological National of Mexico, Mexico 07470, Mexico

a)Author to whom correspondence should be addressed. E-mail: eribarojas@gmail.com

Adv. Sci. Technol. Eng. Syst. J. 5(4), 323-330 (2020); a  DOI: 10.25046/aj050438

Keywords: Warehouse location, Inventory levels, Routing Problem

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Natural disasters have caused not only economic but also human losses. These events bring with them, among other things, deficiencies in the supply of food, clothing, health and cleaning products, to name a few. This situation makes it imperative to locate facilities that can supply the needs, as mentioned earlier, to the victims in the shortest possible time. This document presents the evaluation of a logistic model of the literature whose foundations are: a) the classic p-median problem for the location of a pre-positioning warehouse; b) an extension of the (q-R) model for calculating inventories of different products, according to different types of demand, and c) the problem of multiple vehicles routing with the capacity to establish delivery routes from warehouses to the affected municipalities. This model is evaluated with 90 municipalities belonging to Veracruz, Mex. The results show that the location of the warehouse falls in the municipality of Fortín de las Flores, the inventory levels for five demands and four product kits, and product delivery routes, which are a total of 12, with which a favorable cost minimization is obtained.

Received: 14 April 2020, Accepted: 03 June 2020, Published Online: 28 July 2020

  1. E. Barojas-Payán, D. Sánchez-Partida, V. Juárez-Rivera, R. Villafuerte-Díaz, J. Medina-Cervantes, “Plant location, inventory levels and supply of products to areas affected by a natural phenomenon” in 2019 IEEE International Conference on Engineering Veracruz (ICEV), Boca del Rio, Ver., Mex., 2019. https://doi.org/10.1109 / ICEV.2019.8920691
  2. United Nations. UN News. 2010 [Online]. Available at https://news.un.org/es/story/2020/01/1467501 Last accessed February 1, 2020.
  3. J.M. Rodríguez, C.M. Welsh, M.L. Romo, A.C. Travieso, Riesgo de desastres en México: eventos hidrometeorológicos y climáticos. Instituto Mexicano de Tecnología del Agua, 2018.
  4. Cred-Usaid, Cred crunch, Brussels, Centre for Research on the Epidemiology of Disasters. United States Agency International Development. 2016. https://www.emdat.be/publications?page=1
  5. Secretaria de Gobernación, Manual de organización y operación del sistema nacional de protección civil, 2018.
  6. Secretaria de Hacienda y Crédito Público, Acuerdo por el que se emiten las reglas generales del fondo de desastres naturales, Capítulo I, Disposiciones generales, Articulo 1º, 2010.
  7. Cámara de Diputados del H. Congreso de la Unión, Ley General de Protección Civil, Nueva Ley publicada en el Diario Oficial de la Federación el 6 de junio de 2012, 12(59), 1-6, 2018.
  8. Cámara de Diputados del H. Congreso de la Unión, Ley General de Protección Civil, Nueva Ley publicada en el Diario Oficial de la Federación el 6 de junio de 2012, Capítulo XII, 2018.
  9. Secretaría de Gobernación – Centro Nacional de Prevención de Desastres, Impacto socioeconómico de los principales desastres ocurridos en la República Mexicana en 2016, Dirección de Análisis y Gestión de Riesgos Subdirección de Estudios Económicos y Sociales México, 2018.
  10. Instituto Nacional de Estadística y Geografía. Veracruz Ignacio de la Llave. 2019. https://www.inegi.org.mx/app/areasgeograficas/?ag=30
  11. S. Saeyeon, S. Pettit, I. Harris, A. Beresford, “The pre-positioning of warehouses at regional and local levels for humanitarian relief organization” International Journal of Production Economics, 170(1) Part B, 616–628, 2015.
  12. C.G. Rawls, M.A. Turnquist, “Pre-positioning of emergency supplies for disaster response” Transportation Research Part B, 44(4), 521–534, 2009.
  13. M. S. Daskin, Network and Discrete Location: Models, Algorithms, and Applications, John Wiley and Sons, Inc., 2013.
  14. Veracruz, Gobierno del Estado. Ciclo de los desastres. 2020. http://www.veracruz.gob.mx/proteccioncivil/ciclo-de-los-desastres/
  15. C. Boonmee, M. Arimura, T. Asada, “Facility location optimization model for emergency humanitarian logistics” International Journal of disaster risk Reduction, 24(2017), 485-498, 2017. https://doi.org/10.1016/j.ijdrr.2017.01.017
  16. A. Vermaa, G, Gaukler, “Pre-positioning disaster response facilities at safe locations: An evaluation of deterministic and stochastic modeling approaches” Computers & Operations Research, 62(2015), 197-209, 2015. https://doi.org/10.1016/j.cor.2014.10.006
  17. T. Saputra, O. Pots, K.D. de Smidt-Destombes, “The impact of mean time between disasters on inventory pre-positioning strategy” Disaster Prevention and Management, 24(1), 115-131, 2015. https://doi.org/10.1108/DPM-11-2013-0197.
  18. I. Landa-Cruz, D. Sánchez-Partida, E. Barojas-Payán, J.L. Martínez-Flores, “Optimization model for relocation of distribution sites of economic support in areas of high marginalization” DYNA Management, 4(1), [15], 2016. http://dx.doi.org/10.6036/MN8104
  19. M. Mostajabdaveh, W. Gutjahr, F. Salman, “Inequity-averse shelter location for disaster preparedness.” IISE Transactions, 51(8), 809-829, 2019. https://doi.org/10.1080/24725854.2018.1496372
  20. C. Cornejo-Sánchez, J. Vargas-Florez, L. Aragón-Casas, V. Serpa-Oshiro, “Innovation in engineering, technology and education for competitiveness and prosperity” in Eleventh LACCEI Latin American and Caribbean Conference for Engineering and Technology (LACCEI’2013), Cancún, Q. Roo, Mex, 2013.
  21. A. USLU, C. ÇETİNKAYA, SK. İŞLEYEN, “Vehicle routing problem in post-disaster humanitarian relief logistics: a case study in Ankara” Sigma J Eng & Nat Sci. 35(3), 481-499, 2017.
  22. M.E. Bruni, S. Khodaparasti, “A fast heuristic for routing in post-disaster humanitarian relief logistics” Transportation Research Procedia, 30, 304-313, 2018. https://doi.org/10.1016/j.trpro.2018.09.033
  23. M.A. Gökçe, E. Ercan, “Multi-period vehicle routing & replenishment problem of neighbourhood disaster stations for pre-disaster humanitarian relief logistics” IFAC-PapersOnLine, 52(13), 2614-2619, 2019. https://doi.org/10.1016/j.ifacol.2019.11.601
  24. E. Barojas-Payán, D. Sánchez-Partida, D.E. Riaño, J.L. Martínez-Flores, W. Velázquez, S.O. Caballero, “Heuristic of the nearest neighbor in the delivery of supports within the state of Veracruz” International Journal of Combinatorial Optimization Problems and Informatics, 10(2), 26-38, 2018.
  25. L. Bertazzi, M. Speranza, “Models and algorithms for the minimization of inventory and transportation costs: a survey” New Trends in Distribution Logistics, 480, 137-157, 1999.
  26. C.H. Glock, “The joint economic lot size problem: A review” International Journal of Production Economics, 135(2), 671-686, 2012.
  27. A. Sarmiento, R. Nagi, “A review of integrated analysis of production-distribution systems” IIE Transactions, 31(11), 1061-1074, 1999.
  28. Y.B. Park, “An integrated approach for production and distribution planning in supply chain management” International Journal of Production Research, 43(6), 1205-1224, 2005.
  29. G. Ghiani, A. Manni, E. Manni, M. Toraldo, “The impact of an efficient collection sites location on the zoning phase in municipal solid waste management” Waste Management, 34, 1949-1956, 2014.
  30. V.C. Hemmelmayr, K.F. Doerner, R.F. Hartl, D. VIGO, “Models and algorithms for the integrated planning of bin allocation and vehicle routing in solid waste management” Transportation Science, 48, 103-120, 2014.
  31. J. Gaytán-Iniestra, P.E. Arroyo-López, R. Enríquez-Colón, “A bi-criteria model to locate shelters as part of an evacuation plan in the case of floods” Revista Ingeniería Industrial, 2, 35-56, 2012.
  32. Instituto Nacional para el Federalismo y Desarrollo Municipal, Secretaria de Gobernación. Sistema Nacional de Información Municipal: Municipios en cifras. 2017. http://www.snim.rami.gob.mx/
  33. Secretaría de Comunicaciones y Transportes. Traza tu ruta. 2017. http://app.sct.gob.mx/sibuac_internet/ControllerUI?action=cmdEscogeRuta
  34. Secretaria de Desarrollo Social. Programa de abasto rural. 2017. http://catalogo.datos.gob.mx/dataset/programa-de-abasto-rural-tiendas-2015
  35. Organización Mundial de la Salud. Biblioteca electrónica de documentación científica sobre medidas nutricionales (eLENA), “Ciclo de vida”. 2017. https://www.who.int/elena/life_course/es/
  36. Procuraduría Federal del consumidor. Quién es quién en los precios. 2018. https://www.profeco.gob.mx/precios/canasta/home.aspx?th=1
  37. Servicio de Administración Tributaria. Salarios Mínimos. 2017. www.sat.gob.mx/informacion_fiscal/tabla_indicadores/Paginas/salarios_minimos.aspx
  38. Secretaria del trabajo y previsión social. Salarios Mínimos. 2017. www.gob.mx/cms/uploads/attachment/file/175865/Tabla_de_salarios_minimos_vigentes_a_partir_de_01_enero_2017.pdf
  39. P. Toth, D. Vigo, An Overview of Vehicle Routing Problems, Monographs on Discrete Mathematic and Applications, SIAM, 2000.
  40. J.P. Orrego, D. Ospina, E.M. Toro, “Solución al problema de ruteo de vehículos con capacidad limitada (CVRP) usando una técnica metaheurística” Scientia Et Technica, 21(3), 225-233, 2016. https://doi.org/10.22517/23447214.9013
  41. Sistema Nacional de Protección Civil, México DDGR (FONDEN). Insumos autorizados por declaratoria de emergencia. 2016. https://www.proteccioncivil.gob.mx/es/ProteccionCivil
  42. National Institute for Federalism and Municipal Development, SEGOB, Secretary of the Interior. National Municipal Information System: Municipalities in numbers. 2010. http://www.snim.rami.gob.mx/

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