Skip to main content
SpringerLink
Log in

Model for Logistics Capacity in the Perishable Food Supply Chain

  • Conference paper
  • First Online:
Applied Computer Sciences in Engineering (WEA 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 742))

Included in the following conference series:

Abstract

Interest in fresh food has increased around the world. However, according to FAO losses of perishable food can reach 50%, depending on the logistics capabilities of the supply chain. A management model for transportation and warehouse capacities for the perishable food supply chain is proposed. The expansion of own capacity is evaluated in comparison to contracting 3PL in two scenarios: with and without cold chain. The model was developed within the system dynamics paradigm, modelled in iThink and evaluated through a case study of the supply chain of mango in Cundinamarca-Bogotá. The seasonality of the supply and its discrepancy with the demand is included in the model. The model allows the study of the logistic performance, quality, costs and responsiveness of the Mango Supply Chain.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Orjuela-Castro, J.A., Caicedo-Otavo, A.L., Ruiz-Moreno, A.F., Adarme-Jaimes, W.: External integration mechanisms effect on the logistics performance of fruit supply chains. A dynamic system approach. Revista Colombiana de Ciencias Hortículas 10(2), 311–322 (2016). (in Spanish)

    Google Scholar 

  2. Bowersox, D., Closs, D.J., Cooper, M.B.: Supply Chain Logistics Management, Igarss (2007)

    Google Scholar 

  3. Morash, E., Droge, C., Vickery, S.: Strategic logistics capabilities for competitive advantage and firm success. J. Bus. Logistics 17, 1–22 (1996)

    Google Scholar 

  4. Sandberg, E., Abrahamsson, M.: Logistics capabilities for sustainable competitive advantage. Int. J. Logistics Res. Appl. 14(1), 61–75 (2011)

    Article  Google Scholar 

  5. Gligor, D.M., Holcomb, M.C.: The road to supply chain agility: an RBV perspective on the role of logistics capabilities. Int. J. Logistics Manag. 25, 160–179 (2014)

    Article  Google Scholar 

  6. Brockhoff, G., Marlies, G., Krome Dirk, M.: Logistics Capacity Management - A Theoretical Review and Applications to Outbound Logistics, FOM Hochshule, ild, p. 59 (2011)

    Google Scholar 

  7. Crainic, T.G., Gobbato, L., Perboli, G., Rei, W., Watson, J.-P., Woodruff, D.L.: Bin packing problems with uncertainty on item characteristics: an application to capacity planning in logistics. Procedia Soc. Behav. Sci. 111, 654–662 (2014)

    Article  Google Scholar 

  8. Becerra, M., Herrera, M., Orjuela-Castro, J.A.: Model for calculating operational capacities in service providers using system dynamics. In: System Dynamics Conference 31, Delft (2013)

    Google Scholar 

  9. Wang, L., Murata, T.: Study of optimal capacity planning for remanufacturing activities in closed-loop supply chain using system dynamics modeling, pp. 196–200 (2011)

    Google Scholar 

  10. Orjuela-Castro, J.A., Castro, O.F., Suspes, E.A.: Operators and logistics platform. Revista Tecnura 8(16), 115–127 (2005). (in Spanish)

    Google Scholar 

  11. Liu, C.-L., Lyons, A.C.: An analysis of third-party logistics performance and service provision. Transp. Res. Part E Logistics Transp. Rev. 47(4), 547–570 (2011)

    Article  Google Scholar 

  12. Memon, M.A., Archimede, B.: Towards a distributed framework for transportation planning: a food supply chain case study. In: 10th IEEE International Conference on Networking, Sensing and Control (ICNSC), pp. 603–608 (2013)

    Google Scholar 

  13. Aguezzoul, A.: Third-party logistics selection problem: a literature review on criteria and methods. Omega 49, 69–78 (2014)

    Article  Google Scholar 

  14. Gou, J., Shen, G., Chai, R.: Model of service-oriented catering supply chain performance evaluation. J. Ind. Eng. Manag. 6(1), 215–226 (2013)

    Google Scholar 

  15. Gebresenbet, G., Bosona, T.: Logistics and Supply Chains in Agriculture and Food (2004)

    Google Scholar 

  16. Vlachos, D., Georgiadis, P., Iakovou, E.: A system dynamics model for dynamic capacity planning of remanufacturing in closed-loop supply chains. Comput. Oper. Res. 34, 367–394 (2007)

    Article  MATH  Google Scholar 

  17. Orjuela-Castro, J.A., Herrera-Ramírez, M.M., Adarme-Jaimes, W.: Warehousing and transportation logistics of mango in Colombia: a system dynamics model. Revista Facultad de Ingeniería 26(44), 71–84 (2016)

    Google Scholar 

  18. Orjuela-Castro, J.A., Casilimas, W., Herrera, M.: Impact analysis of transport capacity and food safety in Bogota. In: 2015 Workshop de Engineering Applications - International Congress on Engineering (WEA), Bogotá (2015). doi:10.1109/WEA.2015.7370138

  19. Kuo, J.C., Chen, M.: Developing an advanced multi-temperature joint distribution system for the food cold chain. Food Control 21(4), 559–566 (2010)

    Article  Google Scholar 

  20. Vigneault, C., Thompson, J., Wu, S., Hui, K.P.C., Leblanc, D.I.: Transportation of fresh horticultural produce. Postharvest Technol. Hortic. 2(1), 1–24 (2009)

    Google Scholar 

  21. Aung, M.M., Chang, Y.S.: Temperature management for the quality assurance of a perishable food supply chain. Food Control 40, 198–207 (2014)

    Article  Google Scholar 

  22. Orjuela-Castro, J.A., Pinilla-Ortiz, A.L., Rincón-Murcia, J.R.: Application of controlled atmosphere technology for the conservation of granadilla. Ingeniería 7(2), 45–53 (2001). (in Spanish)

    Google Scholar 

  23. Orjuela Castro, J.A., Calderón, M.E., Buitrago Hernández, S.P.: The Agro-industrial Chain of Fruits, Uchuva and Tomato of tree, p. 191. Universidad Distrital Francisco José de Caldas, Bogota, D.C. (2006). (in Spanish)

    Google Scholar 

  24. Sterman, J.: Bussiness Dynamics: Systems Thinking. McGraw Hill, New York (2000)

    Google Scholar 

  25. 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: Workshop on Engineering Applications. Applied Computer Sciences in Engineering, pp. 165–177, September 2016

    Google Scholar 

  26. Sarimveis, H., Patrinos, P., Tarantilis, C.D., Kiranoudis, C.T.: Dynamic modeling and control of supply chain systems: a review. Comput. Oper. Res. 35(11), 3530–3561 (2008)

    Article  MATH  Google Scholar 

  27. Orjuela, J., Castañeda, I., Canal, J., Rivera, J.: Logistics in the fruit chain. Frutas y Hortalizas 39, 10–15 (2015). (in Spanish)

    Google Scholar 

  28. Salamanca, G., Forero, F., Lozano, J.G., Díaz, C., Salazar, B.: Advances in the characterization, conservation and processing of the mango (Mangifera indica L.) in Colombia. Revista Tumbaga, 57–64 (2007). (in Spanish)

    Google Scholar 

  29. Wall, A., Olivas, F.J., Velderrain, G.R., González, A., De La Rosa, L.A., López, J.A., Álvarez, E.: Mango: agro-industrial aspects, nutritional/functional value and effects on health. Nutrición hospitalaria 31(1), 67–75 (2015). (in Spanish)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Universidad Distrital Francisco José de Caldas, Bogotá, Colombia

    Javier Arturo Orjuela-Castro, Gina Lizeth Diaz Gamez & Maria Paula Bernal Celemín

  2. Universidad Nacional de Colombia, Bogotá, Colombia

    Javier Arturo Orjuela-Castro

  3. GICALyT (Supply Chain Logistics and Treatability Group), Bogotá, Colombia

    Javier Arturo Orjuela-Castro, Gina Lizeth Diaz Gamez & Maria Paula Bernal Celemín

Authors
  1. Javier Arturo Orjuela-Castro
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Gina Lizeth Diaz Gamez
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Maria Paula Bernal Celemín
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Javier Arturo Orjuela-Castro .

Editor information

Editors and Affiliations

  1. Universidad Distrital Francisco José de Caldas, Bogota, Colombia

    Juan Carlos Figueroa-García

  2. Universidad Distrital Francisco José de Caldas, Bogota, Colombia

    Eduyn Ramiro López-Santana

  3. Universidad Tecnológica de Bolívar, Cartagena, Colombia

    José Luis Villa-Ramírez

  4. Universidad Distrital Francisco José de Caldas, Bogota, Colombia

    Roberto Ferro-Escobar

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Orjuela-Castro, J.A., Diaz Gamez, G.L., Bernal Celemín, M.P. (2017). Model for Logistics Capacity in the Perishable Food Supply Chain. In: Figueroa-García, J., López-Santana, E., Villa-Ramírez, J., Ferro-Escobar, R. (eds) Applied Computer Sciences in Engineering. WEA 2017. Communications in Computer and Information Science, vol 742. Springer, Cham. https://doi.org/10.1007/978-3-319-66963-2_21

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-66963-2_21

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66962-5

  • Online ISBN: 978-3-319-66963-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation