Transport Planning in Processing Plants for the Fruit Industry

Wladimir E. Soto-Silva, Marcela C. González-Araya, Lluis M. Pla-Aragones, Esteve Nadal-Roig


Processing plants are central for the operation of fruit supply chains. One of the main aspects to consider is fruit transportation to the processing plant. Hence, this work proposes a mixed integer linear programming model to support the fruit transport planning from the storage facilities to the processing plant. The aim of the model is to minimize the daily transportation costs and associated costs of different storage facilities from where fruits are supplied to the plant in order to meet the demand. The model considers plant processing capacity, fruit demand, number and type of trucks available and the inventory of fruit in each type of storage facilities. The model was applied to a real case study of a processing plant located in the O'Higgins Region (Chile), where reported savings only in transport costs reached about 23 percent.


  1. Audsley, E. & Sandars, D.L. (2009) A review of the practice and achievements from 50 years of applying OR to agricultural systems in Britain. OR Insight. 22(1). p.2-18.
  2. Ahumada, O. & Villalobos, J.R. (2009) Application of planning models in the agrifood supply chain: A review. European Journal of Operational Research. 195. p.1-20.
  3. Bjorndal, T., Herrero, I., Newman, A., Romero, C. & Weintraub, A. (2012) Operations research in the natural resource industry. International Transactions in Operational Research. 19 (1-2). p. 39-62.
  4. Blanco, A., Masini, G., Petracci, N. & Bandoni, J. (2005) Operations management of a packaging plant in the fruit industry. Journal of Food Engineering. 70. p.299-307.
  5. Blackburn, J. & Scudder, G. (2009) Supply Chain Strategies for Perishable Products: The Case of Fresh Produce. Production and Operations Management. 18(2). p.129-137.
  6. Catalá, L.P., Durand, G.A., Blanco, A.M. & Bandoni, J.A. (2013) Mathematical model for strategic planning optimization in the pome fruit industry. Agricultural Systems. 115. p.63-71.
  7. CIREN - Centro de Información de Recursos Naturales (2005). Report N°4: Storage Cold Capacity in Fruit Industry. In Spanish. Download from the link: enci/index/assoc/HASH01ba.dir/bolfrut4.pdf.
  8. France, J. & Thornley, J. (1984) Mathematical Models in Agriculture. London: Butterworths.
  9. Glen, J. (1987) Mathematical Models in Farm Planning: a survey. Operations Research. 35 (5). p.64-665.
  10. Hsiao, H.I., Kemp, R.G.M., van der Vorst, J.G.A.J. & Omta, S.W.F. (2010) A classification of logistic outsourcing levels and their impact on service performance: Evidence from the food processing industry. International Journal of Production Economics. 124. p.75-86.
  11. Lopez-Milan, E. & Plà-Aragonés, L.M. (2014) An Operational Computerised System to Manage the Supply Chain of Sugar Cane. Annals of Operations Research. 219. p.285-297.
  12. Lucas M, Chhajed D (2004) Applications of location analysis in agriculture: a survey. J. Oper. Res. Soc. 55: 561-578.
  13. Mchugh A, Senesi R (2000) Apple Wraps: A Novel Method to Improve the Quality and Extend the Shelf Life of Fresh-cut Apples. Journal Food. Sci. 65(3): 480-485.
  14. Mula J, Poler R, Garcia-Sabater J, Lario F (2006) Models for production planning under uncertainty: A review. Int. J. Prod. Econ. 103: 271-285.
  15. Mula J, Peidro DD, Vicens E (2010) Mathematical programming models for supply chain production and transport planning. Eur. J. Oper. Res. 204:377-390.
  16. Nadal-Roig E, Plà L (2015) Optimal transport planning for the supply to a fruit logistic center. In: Plà-Aragonés, L.M. (Ed.) Handbook of Operations Research in Agriculture and the Agri-Food Industry. SpringerVerlag. In press.
  17. Oliva M (2011) Optimization Model for Agribusiness' Apple Supply Chain. Master Thesis Dissertation, Programa de Magíster en Gestión de Operaciones, Facultad de Ingeniería. Universidad de Talca. In Spanish.
  18. Plà LM, Sandars D, Higgins A (2014) A perspective on Operational Research prospects for agriculture. J. Oper. Res. Soc. 65: 1078-1089. doi:10.1057/jors.2013.45.
  19. Pittia P, Nicoli M, Comi G, Massini R (1999) Shelf-life extension of fresh-like ready-to-use pear cubes. J. Sci. Food Agr. 79: 955-960.
  20. Soto-Silva W, Nadal-Roig E, Gonzalez-Araya M, Plà- Aragones L (2015) Operational Research Models Applied to the Fresh Fruit Supply Chain. Accepted to Eur. J. Oper. Res. DOI: 10.1016/j.ejor.2015.08.046.
  21. Verdouw N, Beulens A, Trienekens J, Wolfert J (2010) Process modelling in demand-driven supply chains: A reference model for the fruit industry. Comput. Electron. Agr. 73: 174-187.
  22. Weintraub A, Romero C (2006) Operations Research Models and the Management of Agricultural and Forestry Resources: A Review and Comparison. Interfaces: 46(5): 446-457.
  23. Weintraub A, Epstein R, Morales J, Serón J, Traverso P (1996) A truck scheduling system improves efficiency in the Forest industries. Interfaces 26(4): 1-12.

Paper Citation

in Harvard Style

Soto-Silva W., González-Araya M., Pla-Aragones L. and Nadal-Roig E. (2016). Transport Planning in Processing Plants for the Fruit Industry . In Proceedings of 5th the International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES, ISBN 978-989-758-171-7, pages 71-78. DOI: 10.5220/0005646100710078

in Bibtex Style

author={Wladimir E. Soto-Silva and Marcela C. González-Araya and Lluis M. Pla-Aragones and Esteve Nadal-Roig},
title={Transport Planning in Processing Plants for the Fruit Industry},
booktitle={Proceedings of 5th the International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,},

in EndNote Style

JO - Proceedings of 5th the International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,
TI - Transport Planning in Processing Plants for the Fruit Industry
SN - 978-989-758-171-7
AU - Soto-Silva W.
AU - González-Araya M.
AU - Pla-Aragones L.
AU - Nadal-Roig E.
PY - 2016
SP - 71
EP - 78
DO - 10.5220/0005646100710078