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Logistics IRP Model for the Supply Chain of Perishable Food

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Applied Computer Sciences in Engineering (WEA 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 916))

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Abstract

The joint management of routing and inventories has become a field of particular importance for the academic community in recent years. However, there were no models identified in the literature review that contemplate the characteristics of the supply chain of fresh food. The authors of this paper propose an IRP (Inventory Routing Problem), multi-objective, multi-product and multi-echelon model of mixed linear programming which considers the shelf life of the food. The model is applied to the supply chain of perishable fruits. The two scenarios evaluated constitute the base for a strategy proposal to reduce costs, maximize the contribution margin and diminish the losses of fruit.

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References

  1. Amorim, P., Almada Lobo, B.: The impact of food perishability issues in the vehicle routing problem. Comput. Ind. Eng. 67, 223–233 (2014)

    Article  Google Scholar 

  2. Soysal, M., Bloemhof-Ruwaard, J.M., Haijema, R., Van Der Vorst, J.G.A.J.: Modeling an inventory routing problem for perishable products with environmental considerations and demand uncertainty. Int. J. Prod. Econ. 164, 118–133 (2015)

    Article  Google Scholar 

  3. Rahimi, M., Baboli, A.: A bi-objective inventory routing problem by considering customer satisfaction level in context of perishable product. In: Computational Intelligence in Production and Logistics Systems, pp. 1–7. IEEE, Orlando, FL, USA (2014)

    Google Scholar 

  4. Orjuela-Castro, J.A., Diaz Gamez, G.L., Bernal Celemín, M.P.: Model for logistics capacity in the perishable food supply chain. In: Figueroa-García, J.C., López-Santana, E.R., Villa-Ramírez, J.L., Ferro-Escobar, R. (eds.) WEA 2017. CCIS, vol. 742, pp. 225–237. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-66963-2_21

    Chapter  Google Scholar 

  5. Orjuela Castro, J.A., Calderón, M.E., Buitrago Hernandez, S.P.: La cadena agroindustrial de frutas. Uchuva y tomate de árbol. Fondo De Publicaciones Universidad Distrital, Bogotá D.C (2006)

    Google Scholar 

  6. Orjuela-Castro, J.A., Morales-Aguilar, F.S., Mejía-Flórez, L.F.: Which is the best supply chain for perishable fruits, Lean or Agile? Rev. Colomb. Cienc. Hortícolas 11, 294–305 (2017)

    Article  Google Scholar 

  7. Orjuela-Castro, J.A., Herrera-Ramírez, M.M., Adarme-Jaimes, W.: Warehousing and transportation logistics of mango in Colombia: a system dynamics model. Fac. Ing. 26, 73–86 (2017)

    Article  Google Scholar 

  8. Orjuela-Castro, J.A., Casilimas, W., Herrera-Ramírez, M.M.: Impact analysis of transport capacity and food safety in Bogota. In: 2015 Workshop on Engineering Applications - International Congress on Engineering (WEA), pp. 1–7 (2015)

    Google Scholar 

  9. Orjuela-Castro, J.A., Sepulveda-Garcia, D.A., Ospina-Contreras, I.D.: Effects of using multimodal transport over the logistics performance of the food chain of uchuva. In: Figueroa-García, J.C., López-Santana, E.R., Ferro-Escobar, R. (eds.) WEA 2016. CCIS, vol. 657, pp. 165–177. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-50880-1_15

    Chapter  Google Scholar 

  10. 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, 73–80 (2017)

    Article  Google Scholar 

  11. Federgruen, A., Zipkin, P.: A combined vehicle routing and inventory allocation problem. Oper. Res. 32, 1019–1037 (1985)

    Article  MathSciNet  Google Scholar 

  12. Chen, H.K., Hsueh, C.F., Chang, M.S.: Production scheduling and vehicle routing with time windows for perishable food products. Comput. Oper. Res. 36, 2311–2319 (2009)

    Article  MathSciNet  Google Scholar 

  13. Mirzaei, S., Seifi, A.: Considering lost sale in inventory routing problems for perishable goods. Comput. Ind. Eng. 87, 213–227 (2015)

    Article  Google Scholar 

  14. Sivakumar, B.: A perishable inventory system with retrial demands and a finite population. J. Comput. Appl. Math. 224, 29–38 (2009)

    Article  MathSciNet  Google Scholar 

  15. Amorim, P., Parragh, S.N., Sperandio, F., Almada-Lobo, B.: A rich vehicle routing problem dealing with perishable food: a case study. TOP 22, 489–508 (2014)

    Article  MathSciNet  Google Scholar 

  16. Coelho, L.C., Laporte, G.: Optimal joint replenishment, delivery and inventory management policies for perishable products. Comput. Oper. Res. 47, 42–52 (2014)

    Article  MathSciNet  Google Scholar 

  17. Jia, T., Li, X., Wang, N., Li, R.: Integrated inventory routing problem with quality time windows and loading cost for deteriorating items under discrete time. Math. Probl. Eng. 2014, 1–14 (2014)

    MathSciNet  Google Scholar 

  18. Lahyani, R., Khemakhem, M., Semet, F.: Rich vehicle routing problems: from a taxonomy to a definition. Eur. J. Oper. Res. 241, 1–14 (2015)

    Article  MathSciNet  Google Scholar 

  19. Al Shamsi, A., Al Raisi, A., Aftab, M.: Pollution-inventory routing problem with perishable goods. In: Golinska, P. (ed.) Logistics Operations, Supply Chain Management and Sustainability. E, pp. 585–596. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-07287-6_42

    Chapter  Google Scholar 

  20. Rahimi, M., Baboli, A., Rekik, Y.: Inventory routing problem for perishable products by considering customer satisfaction and green criteria. In: Freitag, M., Kotzab, H., Pannek, J. (eds.) Dynamics in Logistics. LNL, pp. 445–455. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-45117-6_39

    Chapter  Google Scholar 

  21. Hiassat, A., Diabat, A., Rahwan, I.: A genetic algorithm approach for location-inventory-routing problem with perishable products. J. Manuf. Syst. 42, 93–103 (2017)

    Article  Google Scholar 

  22. Azadeh, A., Elahi, S., Farahani, M.H., Nasirian, B.: A genetic algorithm-Taguchi based approach to inventory routing problem of a single perishable product with transshipment. Comput. Ind. Eng. 104, 124–133 (2017)

    Article  Google Scholar 

  23. Castro, J.A.O., 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, 687–710 (2017)

    Google Scholar 

  24. Morganti, E., Gonzalez-Feliu, J.: City logistics for perishable products. The case of the Parma’s Food Hub. Case Stud. Transp. Policy 3, 120–128 (2015)

    Article  Google Scholar 

  25. Jedliński, M.: The position of green logistics in sustainable development of a smart green city. Procedia - Soc. Behav. Sci. 151, 102–111 (2014)

    Article  Google Scholar 

  26. Soysal, M., Bloemhof-Ruwaard, J.M., Haijema, R., Van Der Vorst, J.G.A.J.: Modeling a green inventory routing problem for perishable products with horizontal collaboration. Comput. Oper. Res. 89, 168–182 (2016)

    Article  MathSciNet  Google Scholar 

  27. Park, Y.B., Yoo, J.S., Park, H.S.: A genetic algorithm for the vendor-managed inventory routing problem with lost sales. Expert Syst. Appl. 53, 149–159 (2016)

    Article  Google Scholar 

  28. Liu, S.-C., Chen, A.-Z.: Variable neighborhood search for the inventory routing and scheduling problem in a supply chain. Expert Syst. Appl. 39, 4149–4159 (2012)

    Article  Google Scholar 

  29. Castañeda, I., Canal, L., Orjuela Castro, J.A.: Caracterización de la logística de la cadena de abastecimiento agroindustrial Frutícola en Colombia (2012)

    Google Scholar 

  30. Vianchá Sánchez, H.Z.: Modelos y configuraciones de cadenas de suministro en productos perecederos Models and configurations of supply chains in perishable goods. Ing. y Desarro. 32, 138–154 (2014)

    Article  Google Scholar 

  31. Paredes, A.M., Salazar, A.F.: Visión sistémica del análisis de la flexibilidad en cadenas de suministro de productos perecederos. Rev. S&T 12, 63–86 (2014)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Faculty of Engineering, Industrial Engineering Department, Universidad Distrital, Francisco José de Caldas, 110231, Bogotá, D.C., Colombia

    Javier Arturo Orjuela-Castro & Diego Batero-Manso

  2. Faculty of Engineering, School of Industrial Engineering, Universidad del Valle, Cali (Valle), Colombia

    Juan Pablo Orejuela-Cabrera

Authors
  1. Javier Arturo Orjuela-Castro
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  2. Diego Batero-Manso
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  3. Juan Pablo Orejuela-Cabrera
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Corresponding author

Correspondence to Javier Arturo Orjuela-Castro .

Editor information

Editors and Affiliations

  1. Department of Industrial Engineering, Universidad Distrital Francisco José de Caldas, Bogotá, Colombia

    Juan Carlos Figueroa-García

  2. Department of Industrial Engineering, University of Antioquia, Medellín, Colombia

    Juan G. Villegas

  3. Department of Electronics and Telecomunications Engineering, University of Antioquia, Medellín, Colombia

    Juan Rafael Orozco-Arroyave

  4. Department of Industrial Engineering, University of Antioquia, Medellín, Colombia

    Pablo Andres Maya Duque

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Orjuela-Castro, J.A., Batero-Manso, D., Orejuela-Cabrera, J.P. (2018). Logistics IRP Model for the Supply Chain of Perishable Food. In: Figueroa-García, J., Villegas, J., Orozco-Arroyave, J., Maya Duque, P. (eds) Applied Computer Sciences in Engineering. WEA 2018. Communications in Computer and Information Science, vol 916. Springer, Cham. https://doi.org/10.1007/978-3-030-00353-1_4

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  • DOI: https://doi.org/10.1007/978-3-030-00353-1_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00352-4

  • Online ISBN: 978-3-030-00353-1

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