Multi-criteria prioritization for affiliation to a food bank in Colombia
DOI:
https://doi.org/10.22335/rlct.v12i1.1024Keywords:
multicriteria decision, reverse logistics, food bank, AHP, TOPSISAbstract
The waste of food has increased worldwide. Likewise, there is a large population that does not eat properly and can take advantage of these wasted foods. In this way, food banks emerge as a strategy to minimize food waste and increase food security in vulnerable populations. However, they present a problem to assign food to those who request their support. This decision must include several criteria that allow food to go to the organizations and / or populations that need it most. Then, a multicriteria decision model is proposed that integrates the AHP and TOPSIS tools so that a food bank can manage the available resources in the best possible way. Food waste has increased worldwide. Also, there is a large population that is not adequately fed and could take advantage of these wasted food. In this way, food banks emerge as a strategy to minimize food waste and increase food security in vulnerable populations. However, they present a problem to assign food to those who request their support. This decision must consider multiple criteria that allow food to go to the organizations and / or populations that need it most. Then, a multicriteria decision model is proposed that integrates the AHP and TOPSIS tools so that a food bank can manage the available resources in the best possible way. The model uses the AHP for the weighting of the criteria that will be considered relevant for the decision of the food bank's assignment to the requesting institutions, and TOPSIS is used to assess these criteria in the alternatives that request support. It is a model that allows supported and dynamic decision making that was positively valued by a Food Bank in Colombia.
Downloads
References
Abaco (Asociación de Bancos de Alimentos de Colombia) (2018). Información sobre los bancos de alimentos de Colombia. Disponible en http://www.abaco.org.co/que-es-un-banco-de-alimentos.
Aguilar, F. (2004). Teoría de la decisión e incertidumbre: modelos normativos y descriptivos. Empiria, 8, 139-160.
Amato, C. (2015). Relación entre logística inversa y desempeño. Estudio de casos en Córdoba, Argentina. Cuadernos de Administración, 31(53).
Awasthi, A. & Chauhan, S. S. (2012). A hybrid approach integrating Affinity Diagram, AHP and fuzzy TOPSIS for sustainable city logistics planning. Applied Mathematical Modelling, 36, 573-584.
Ball, S. y Korukoğlu, S. (2009). Operating system selection using fuzzy AHP and Topsis methods. Mathematical and Computational Applications, 14, 119-130.
Bas, E. (2012). The integrated framework for analysis of electricity supply chain using an integrated SWOT-fuzzy TOPSIS methodology combined with AHP: The case of Turkey. Electrical Power and Energy Systems, 44, 897-907.
Basso, N. (2013). Las huellas del despilfarro. Alimentos argentinos, 8-13.
Behzadian, M., Otaghsara, S. K., Yazdani, M. & Ignatius, J. (2012). A state-of the-art survey of TOPSIS applications. Expert Systems with Applications, 39(17), 13051-13069.
Brock, L. G. & Davis L. B. (2015). Estimating available supermarket commodities for food bank collection in the absence of information, Expert Systems with Applications, 42(7), 3450-3461.
Caho, F. J. & Robayo, P. A. (2016). Propuesta de mejora del sistema de alistamiento de pedidos en el banco de alimentos de Bogotá (trabajo de grado). Programa de Ingeniería Industrial, Facultad de Ingeniería, Universidad de la Salle, Bogotá.
Cavatorta, E. & Pieroni, L. (2013). Background risk of food insecurity and insurance behaviour: Evidence from the West Bank, Food Policy, 43, 278-290.
Cuevas-Ortuño, J. & Gómez-Padilla, A. (2013). Un modelo de asignación-empaque de despensas personalizadas para bancos de alimentos: un sistema sujeto a condiciones nutricionales y logísticas. DYNA: Ingeniería e Industria, 88(5), 560-573.
Choudhary, D. & Shanka, R. (2012). An STEEP-fuzzy AHP-TOPSIS framework for evaluation and selection of thermal power plant location: A case study from India. Energy, 42, 510-521.
Davis, L. B., Jiang, S. X., Morgan, S. D., Nuamah, I. A. & Terry, J. R. (2016). Analysis and prediction of food donation behavior for a domestic hunger relief organization, International Journal of Production Economics, 182, 26-37.
Davis, L. B., Sengul, I., Ivy, J. S., Brock III, L. G. & Miles, L. (2014). Scheduling food bank collections and deliveries to ensure food safety and improve access. Socio-Economic Planning Sciences, 48(3), 175-188.
DNP (2016). Colombianos botan 9,76 millones de toneladas de comida al año. Departamento Nacional de Planeación. Gobierno de Colombia. Disponible en https://www.dnp.gov.co/Paginas/Colombianos-botan-9,76-millones-de-toneladas-de-comida-al-a%C3%B1o.aspx.
Epstein, L. (2017). Seguridad alimentaria en Colombia. Asociación Ambiente y Sociedad. Disponible en http://www.ambienteysociedad.org.co/es/nueva-publicacion-seguridad-alimentaria-en-colombia/.
El Tiempo (2006). Un banco para alimentar a los pobres. Disponible en http://www.eltiempo.com/archivo/documento/MAM-2020319.
FAO (2016). Organización de las Naciones Unidas para la Alimentación y la Agricultura. Disponible en http://www.fao.org/home/es/.
FAO (2018). El hambre aumenta en América Latina y el Caribe: 42,5 millones de personas están subalimentadas. Disponible en http://www.fao.org/americas/noticias/ver/es/c/1037377/.
Farrimond, S. J. & Leland, L. J. (2006). Increasing donations to supermarket food-bank bins using proximal prompts. Journal of Applied Behavior Analysis, 39(2), 249-251.
Fernández, G. (2002). Una metodología de ayuda a la toma de decisiones multicriterio discreta, Revista Recta, 1, 5-28.
Friedrich, T. (2014). La seguridad alimentaria: retos actuales. Revista Cubana de Ciencia Agrícola, 48(4).
Gramajo, S., Karanik, M., Pinto, N., Cabrera, D. & Alurralde, M. (2011). Modelo de apoyo para la toma de decisiones en QoS. XVII Congreso Argentino de Ciencias de la Computación.
Gómez, C. (2017). Objetivos de Desarrollo Sostenible: una revisión crítica. Papeles de Relaciones Ecosociales y Cambio Global, 144(18), 107-118.
González-Torre, P. L. & Coque, J. (2016). How is a food bank managed? Different profiles in Spain. Agriculture and Human Values, 33(1), 89-100.
Gumus, A. T. (2009). Evaluation of hazardous waste transportation firms by using a two-step fuzzy-AHP and TOPSIS methodology. Expert Systems with Applications, 18, 4067-4074.
Hernández S., M. I., Giraldo, L. F., Gaviria, L. A., Wilches, A. M. & Osorio, J. C. (2017). Priorización de despachos con AHP difuso y TOPSIS. Revista Tecnura, 21(52), 102-110.
Himmel, E., Olivares, M. A. & Zabalza J. (1999). Hacia una evaluación educativa. Aprender para evaluar y evaluar para aprender, I. Santiago: PUC y Mineduc.
Hwang, C. L. & Yoon, K. P. (1995). Multiple attribute decision making: an introduction (vol. 104). Sage Publications.
Ishizaka, A. & Nemery, P. (2013). Multi-criteria decision analysis methods and software. John Wiley & Sons.
Knoblock-Hahn, A, Murphy, A, Brown, K. & Medrow, L. (2017). Integrative nutrition and health models targeting low-income populations: A pilot intervention in three food banks. J. Acad. Nutr. Diet. 117(1), 128-131.
Maldonado, M. B. & Moya, S. (2010). Posibles mejoras para paliar el hambre mediante el Banco de Alimentos de Mendoza. Revista Española de Nutrición Comunitaria, 16(2), 98-104.
Martínez, E. (2014). La seguridad alimentaria y nutricional de Colombia, una prioridad. Cuadernos Latinoamericanos de Administración.
Mosquera, D. (2015). Plan estratégico del banco de alimentos de Pereira (trabajo de grado). Programa de Administración de Empresas, Facultad de Ciencias Administrativas y Contables, Universidad de la Salle, Bogotá.
Muralidhar, P., Ravindranath, K. & Srihari, V. (2012). Evaluation of green supply chain management strategies using Fuzzy AHP and TOPSIS. IOSR Journal of Engineering, 2, 824-830.
Osorio, J. C., García, J. L. y Manotas, D. F. (2018). AHP TOPSIS para la selección de proveedores considerando el riesgo asociado a la calidad. Revista espacios, 39(16).
Saaty, T. L. & Shang J. S. (2011). An innovative orders-of-magnitude approach to AHP-based multi-criteria decision making: Prioritizing divergent intangible humane acts. European Journal of Operational Research, 214, 703-715.
Tarasuk, V., Dachner, N., Hamelin, A. M., Ostry, A., Williams, P., Bosckei, E. & Raine, K. (2014). A survey of food bank operations in five Canadian cities. BMC Public Health, 14(1), 12-34.
Urbano, L. C., Muñoz, L. S. y Osorio, J. C. (2016). Selección multicriterio de aliado estratégico para la operación de carga terrestre. Estudios Gerenciales, 32, 35-43.
Vinodh, S., Prasanna, M. & Prakash, N. H. (2014). Integrated Fuzzy AHP-TOPSIS for selecting the best plastic recycling method: A case study. Applied Mathematical Modeling, 38, 4662-4672.
Warshawsky, D. N. (2010). New power relations served here: The growth of food banking in Chicago, Geoforum, 41(5), 763-775.
Yanquen, Y. P. & López, Y. M. (2013). Propuesta para la aplicación del modelo EFQM a las organizaciones adscritas al banco de alimentos (trabajo de grado). Administración de Empresas, Facultad de Ciencias Administrativas y Contables, Universidad de la Salle, Bogotá.
Downloads
Published
Issue
Section
License
Copyright (c) 2019 Revista Logos Ciencia & Tecnología
This work is licensed under a Creative Commons Attribution 4.0 International License.
This journal provides free and immediate access to its content (https://creativecommons.org/licenses/by/4.0/legalcode#languages), under the principle that making research available to the public free of charge supports greater global knowledge exchange. This means that the authors transfer the Copyrights to the journal, so that the material can be copied and distributed by any means, as long as the authors’ recognition is maintained, and the articles are not commercially used or modified in any way.
