Multi-objective model for perishable food logistics networks design considering availability and access
Tóm tắt
The supply chains of perishable food (PFSC) fresh, present imbalances between supply and demand, in times of supply deficit is necessary to guarantee the food security through the availability, the access and other pillars. In the PFSC losses are highest, whereby the delivery times must be low to guarantee the availability. For the access, must be include the largest number of retailed storekeepers, thus monopolies from large hypermarkets are avoided. In this context, the modeling In PFSC presents big challenges such as the inclusion of delivery times, losses and fresh food biophysical specific conditions which depend of the transport time and storage, the configuration and the number of echelons on the PFSC. In this article, a multiobjective, multiproduct and multi-echelon for perishable food logistics networks design mixed linear programming model is presented. The model allows determining the best configuration so that the different actors of the PFSC, so that could move closer to more efficient borders. The model considers the losses in perishable food derived from the impacts caused by changes in temperature (T°) and relative humidity (RH), on a mountainous environment of developing countries. It is solved in AMPL through e-constrains method. The model is applied in a case study around the perishable fruit supply chains (PFrSC). The information to the model parameterization was obtained through surveys done to the actors of the different echelons of PFrSC during a 4-year period that were complemented with secondary information from public and private enterprises.
Tài liệu tham khảo
Accorsi, R., Baruffaldi, G., Manzini, R., Tufano, A.: On the design of cooperative vendors’ networks in retail food supply chains: a logistics-driven approach. Int. J. Logist. Res. Appl. 21, 35–52 (2017)
Ahumada, O., Villalobos, R.: Application of planning models in the agri-food supply chain: a review. Eur. J. Oper. Res. 196, 1–20 (2009)
Akkerman, R., Farahani, P., Grunow, M.: Quality, safety and sustainability in food distribution: a review of quantitative operations management approaches and challenges. OR Spectrum 32, 863–904 (2010)
Amorim, P., Almada-Lobo, B.: The impact of food perishability issues in the vehicle routing problem. Comput. Ind. Eng. 67(1), 223–233 (2014). https://doi.org/10.1016/j.cie.2013.11.006
Aramyan, L., Ondersteijn, C., Van Kooten, O., Lansink, A.O.: Performance indicators in agri-food production chains. Quantifying the Agri-Food Supply Chain 15, 47–64 (2006)
Bigliardi, B., Bottani, E.: Performance measurement in the food supply chain: a balanced scorecard approach. Facilities 28, 249–260 (2010)
Bosona, T.G., Gebresenbet, G.: Cluster building and logistics network integration of local food supply chain. Biosyst. Eng. 108(4), 293–302 (2011). https://doi.org/10.1016/j.biosystemseng.2011.01.001
CFS, C. on W. F. S.: Committee on World Food Security (CFS) Global Strategic Framework for Food Security & Nutrition (GSF), vol. 16(October) (2014)
CISAN-ICBF: Instituto Colombiano de Bienestar Familiar ICBF, Conpes 113 2008 (2013). http://www.icbf.gov.co/portal/page/portal/PortalICBF/Bienestar/Nutricion/PNSAN
Daugherty, P.J.: Review of logistics and supply chain relationship literature and suggested research agenda. Int. J. Phys. Distrib. Logist. Manag. 41, 16–31 (2011)
de Keizer, M., Akkerman, R., Grunow, M., Bloemhof, J.M., Haijema, R., van der Vorst, J.G.: Logistics network design for perishable products with heterogeneous quality decay. Eur. J. Oper. Res. 262, 535–549 (2017)
Dubey, N., Tanksale, A.: A study of barriers for adoption and growth of food banks in India using hybrid DEMATEL and analytic network process. Socio-Econ. Plan. Sci. (2021). https://doi.org/10.1016/j.seps.2021.101124
Eisenhandler, O., Tzur, M.: A segment-based formulation and a matheuristic for the humanitarian pickup and distribution problem. Transp. Sci. 53(5), 1389–1408 (2019). https://doi.org/10.1287/trsc.2019.0916
ENSIN: ICBF Minsalud (2010)
ENSIN: ENSIN (2015)
ENSIN, M.: Ministerio de Salud y Protecciión Social (2005)
Esmizadeh, Y., Mellat Parast, M.: Logistics and supply chain network designs: incorporating competitive priorities and disruption risk management perspectives. Int. J. Logist. Res. Appl. 24(2), 174–197 (2021). https://doi.org/10.1080/13675567.2020.1744546
Farahani, R.Z., Rezapour, S., Drezner, T., Fallah, S.: Competitive supply chain network design: an overview of classifications, models, solution techniques and applications. Omega 45, 92–118 (2014)
Fleischmann, M., Beullens, P., Bloemhof-Ruwaard, J.M., Wassenhove, L.N.: The impact of product recovery on logistics network design. Prod. Oper. Manag. 10, 156–173 (2001)
Goetschalckx, M., Vidal, C.J., Dogan, K., Goetschalcka, M., Vidal, C.J., Dogan, K.: Modeling and design of global logistics systems: a review of integrated strategic and tactical models and design algorithms. Eur. J. Oper. Res. 143(1), 1–18 (2002). https://doi.org/10.1016/S0377-2217(02)00142-X
Gunasekaran, A., Ngai, E.W.: The future of operations management: an outlook and analysis. Int. J. Prod. Econ. 135, 687–701 (2012)
Gustavsson, J., Cederberg, C., Sonesson, U.F.: Pérdidas y desPerdicio de alimentos en el mundo (2011). http://www.fao.org/docrep/016/i2697s/i2697s.pdf
Herrera, M.M., Orjuela-Castro, J.: An appraisal of traceability systems for food supply chains in Colombia. Int. J. Food Syst. Dyn. 12(1), 37–50 (2021). https://doi.org/10.18461/ijfsd.v12i1.74
IICA-Prodar, F.: Gestión de agronegocios en empresas asociativas rurales: Curso de capacitación. Módulo 1: Sistema agroproductivo, cadenas y competitividad (2009).
Manzini, R., Accorsi, R.: The new conceptual framework for food supply chain assessment. J. Food Eng. 115, 251–263 (2013)
Marler, R.T., Arora, J.S.: Survey of multi-objective optimization methods for engineering. Struct. Multidiscip. Optim. 26(6), 369–395 (2004). https://doi.org/10.1007/s00158-003-0368-6
Maya, T., Orjuela Castro, J.A., Herrera, M.M.: Retos en el modelado de la trazabilidad en las cadenas de suministro de alimentos. Ingeniería 26(2), 143–172 (2021). https://doi.org/10.14483/23448393.15975
Meena, S.R., Meena, S.D., Pratap, S., Patidar, R., Daultani, Y.: Strategic analysis of the Indian agri-food supply chain. Opsearch 56(3), 965–982 (2019). https://doi.org/10.1007/s12597-019-00380-5
Miranda-Ackerman, M.A., Azzaro-Pantel, C., Aguilar-Lasserre, A.A.: A green supply chain network design framework for the processed food industry: application to the orange juice agrofood cluster. Comput. Ind. Eng. 109, 369–389 (2017)
Novaes, A.G., Lima, O.F., Jr., Carvalho, C.C.D., Bez, E.T.: Thermal performance of refrigerated vehicles in the distribution of perishable food. Pesqui. Oper. 35, 51–284 (2015)
Orjuela-Castro, J.A., Adarme-Jaimes, W.: Evaluating the supply chain design of fresh food on food security and logistics. Commun. Comput. Inf. Sci. 915, 257–269 (2018)
Orjuela-Castro, J.A., Batero-Manso, D., Orejuela-Cabrera, J.P.: Logistics IRP model for the supply chain of perishable food. Commun. Comput. Inf. Sci. 915, 257–269 (2018)
Orjuela-Castro, J.A., Orejuela-Cabrera, J.P., Adarme-Jaimes, W.: Last mile logistics in mega-cities for perishable fruits. J. Ind. Eng. Mag. 12(2), 318–327 (2019)
Orjuela-Castro, J.A., Orejuela-Cabrera, J.P., Adarme-Jaimes, W.: Logistics network configuration for seasonal perishable food supply chains. J. Ind. Eng. Manag. 14(2), 135–151 (2021). https://doi.org/10.3926/jiem.3161
Orjuela-Castro, J.A., Sanabria-Coronado, L.A., Peralta-Lozano, A.M.: Coupling facility location models in the supply chain of perishable fruits. Res. Transp. Bus. Manag. 24(August), 73–80 (2017). https://doi.org/10.1016/j.rtbm.2017.08.002
Orjuela Castro, J A., Caderón, M E., Buitrago, S.: La cadena agroindustrial de frutas (U. D. F. J. de C. Fondo Editorial (ed.)) (2006)
Orjuela Castro, J.A., Diaz, G.G.L., Bernal, C.M.P.: Model for logistics capacity in the perishable food supply chain. Commun. Comput. Inf. Sci. 742, 3–4 (2017). https://doi.org/10.1007/978-3-319-66963-2
Orjuela Castro, J.A., Díaz Ríos, O.J., González Pérez, Á.Y.: Caracterización de la logística en la cadena de suministro de cosméticos y productos de aseo. Revista Científica 28(28), 84–98 (2017). https://doi.org/10.14483/udistrital.jour.rc.2016.28.a7
Orjuela Castro, J.A., Jaimes, W.A.: Dynamic impact of the structure of the supply chain of perishable foods on logistics performance and food security. J. Ind. Eng. Manag. 10(4), 687–710 (2017). https://doi.org/10.3926/jiem.2147
Peng, P., Snyder, L.V., Lim, A., Liu, Z.: Reliable logistics networks design with facility disruptions. Transp. Res. B Methodol. 45, 1190–1211 (2011)
Prasad, T.V.S.R.K., Srinivas, K., Srinivas, C.: Investigations into control strategies of supply chain planning models: a case study. Opsearch 57(3), 874–907 (2020). https://doi.org/10.1007/s12597-020-00460-x
S.D.P.B.: (2014). www.sdp.gov.co.
Sanabria, C., L A., Peralta L A., Orjuela-Castro., Javier, A.: Facility location models in perishable agri-food chains: a review. Ingeniería 22, 23–45 (2017)
Soto-Silva, W.E., González-Araya, M.C., Oliva-Fernández, M.A., Plà-Aragonés, L.M.: Optimizing fresh food logistics for processing: application for a large Chilean apple supply chain. Comput. Electron. Agric. 136, 42–57 (2017)
Soto-Silva, W.E., Nadal-Roig, E., González-Araya, M.C., Pla-Aragones, L.M.: Operational research models applied to the fresh fruit supply chain. Eur. J. Oper. Res. 251, 345–355 (2016)
Utomo, D.S., Onggo, B.S., Eldridge, S.: Applications of agent-based modelling and simulation in the agri-food supply chains. Eur. J. Oper. Res. 269, 794–805 (2017)
van der Vorst, aJck GAJ., van Kooten, Olaf., Luning, P. A.: Towards a diagnostic instrument to identify improvement opportunities for quality controlled logistics in agrifood supply chain networks. Int. J. Food Syst. Dyn. 2, 94–105 (2011)
Van der Vorst, J.G.: Effective food supply chains: generating, modelling and evaluating supply chain scenarios (2000)
van der Vorst, J.G., Schouten, R.E., Luning, P.A., van Kooten, O.: Designing new supply chain networks: tomato and mango case studies. In: Horticulture: Plants for People and Places, Vol. 1: Production Horticulture, vol. 1, pp. 1–599 (2014). https://doi.org/10.1007/978-94-017-8578-5
Vrat, P., Gupta, R., Bhatnagar, A., Pathak, D.K., Fulzele, V.: Literature review analytics (LRA) on sustainable cold-chain for perishable food products: research trends and future directions. Opsearch 55(3–4), 601–627 (2018). https://doi.org/10.1007/s12597-018-0338-9
Walia, B., Sanders, S.: Curbing food waste: A review of recent policy and action in the USA. Renew. Agric. Food Syst. 34(2), 169–177 (2017). https://doi.org/10.1017/S1742170517000400
Wang, N., Zhang, M., Che, A., Jiang, B.: Bi-objective vehicle routing for hazardous materials transportation with no vehicles travelling in Echelon. IEEE Trans. Intell. Transp. Syst. 19(6), 1867–1879 (2018). https://doi.org/10.1109/TITS.2017.2742600
WFPC LLC.: The World Food Preservation Center LLC (2014). http://worldfoodpreservationcenter.com/research.html
Yared Lemma, D.K., Gatew, G.: Loss in perishable food supply chain: an optimization approach literature review. Int. J. Sci. Eng. Res. 5, 302–311 (2014)
Yu, M., Nagurney, A.: Competitive food supply chain networks with application to fresh produce. Eur. J. Oper. Res. 224, 273–282 (2013)
Zenk, S.N., Lachance, L.L., Schulz, A.J., Mentz, G., Kannan, S., Ridella, M.: Neighborhood retail food environment and fruit and vegetable intake in a multiethnic urban population. Am. J. Health Promot. 23, 255–264 (2009)
Zhang, M., Wang, N., He, Z., Yang, Z., Guan, Y.: Bi-objective vehicle routing for hazardous materials transportation with actual load dependent risks and considering the risk of each vehicle. IEEE Trans. Eng. Manag. 66(3), 429–442 (2019). https://doi.org/10.1109/TEM.2018.2832049