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Operational Planning Model for Harvesting of Fresh Agricultural Products

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Production and Operations Management

Abstract

In this work, we present an operational planning model for harvesting of fresh agricultural products. This model contains the resources and factors that determine the operational cost of harvesting. These resources are labor, time windows for operations, use of soil, demand of products, types of markets, loss for quality, variety of fruits and productivity of crops, which is founded on the use of lean manufacturing (LM) principles as wastes management tool. This model minimizes the cost of wastes generates by resources used for harvest and allowing for get an operational planning through of mixed linear programming. The results show operational improvements and indicating significant savings can be obtained in cost for harvesting. A study case is show for illustrating the results, savings expressed through the objective function, and a sensibility analysis is described for determining the best levels of production factors for harvesting.

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References

  1. Thornthwasite C.W: Operations Research in Agriculture. Journal of the Operational Research Society 1 (2), 33–38 (1953).

    Google Scholar 

  2. French C.: Application of operations research in farm operations and agricultural marketing, Operations Research 6 (5), 766–775 (1958).

    Article  Google Scholar 

  3. FAO: Cereal supply and demand brief. http://www.fao.org/worldfoodsituation/csdb/en/, last accessed 2016/12/09.

  4. Departamento de Planeación nacional de Colombia (DNP),: Pérdidas y desperdicios de Alimentos en Colombia. Bogotá (2016). https://colaboracion.dnp.gov.co/CDT/Prensa/Publicaciones/P%C3%A9rdida%20y%20desperdicio%20de%20alimentos%20en%20colombia.pdf, last accessed 2019/07/17.

  5. Osaki M., Batalha M.O,: Optimization model of agricultural production system in grain farms under risk, in Sorriso, Brazil. Agricultural Systems 127,178–188 (2014).

    Article  Google Scholar 

  6. Mason AN, Villalobos JR,: Coordination of perishable crop production using auction mechanisms. Agricultural Systems 138, 18–30 (2015).

    Article  Google Scholar 

  7. Weintraub A, Romero C,: Operations research models and the management of agricultural and forestry resources: A review and comparison. Interfaces 36(5), 446–457 (2006).

    Article  Google Scholar 

  8. Cardin M, Alvarez C,: Model for decision-making in agricultural production planning. Computers and Electronics in Agriculture 86, 131–139 (2012).

    Article  Google Scholar 

  9. Tselikas N, Keramydas C, Toka A, Aidonis D, Iakovau E,: Agrifood supply chain management: A comprehensive hierarchical decision-making framework and a critical taxonomy. Biosystems Engineering 129, 47–64 (2014).

    Google Scholar 

  10. Sopegno A, Busato P, Berruto R, Romanelli T,: A cost prediction model for machine operation in multi-field production systems. Scientia Agricola 73(5), 1–14 (2016).

    Article  Google Scholar 

  11. James J, Antle J, Basso B, Boote K, Conant R, Foster I, et al.: Toward a new generation of agricultural systems data, models, and knowledge products: State of agricultural systems science. Agricultural Systems 155, 269–288 (2017).

    Article  Google Scholar 

  12. Caicedo N., García G., Montoya-Torres J.: Towards the integration of lean principles and optimization for agricultural production systems: a conceptual review proposition, Journal of the Science of Food and Agriculture 100 (2), 453–464 (2020).

    Article  Google Scholar 

  13. Rika A, Tjahjono B,: A framework for managing sustainable palm oil supply chain operations: A case of Indonesia. Production Planning and Control 28(13), 1093–1106 (2017).

    Article  Google Scholar 

  14. Lodree A, Uzochukwu E,: Production planning for deteriorating item with stochastic demand and consumer choice. International Journal of Production Economics 116, 219–232 (2008).

    Article  Google Scholar 

  15. Amorim P, Gunther H, Almada B,: Multi-objective integrated production and distribution planning of perishable products. International Journal of Production Economics 138, 89–101 (2012).

    Article  Google Scholar 

  16. Itoh T, Ishii H, Nanseki T,: A model of crop planning under uncertainty in agricultural management. International Journal of Production Economics 81, 555–558 (2003).

    Article  Google Scholar 

  17. Ahumada O, Villalobos JR, Mason N,: Tactical planning of the production and distribution of fresh agricultural products under uncertainty. Agricultural Systems 112, 17–26 (2012).

    Article  Google Scholar 

  18. Da Silva AF, Silva FA, Ximenez E, Addressing uncertainty in sugarcane harvest planning through a revised multi-choice goal-programming model. Appl Math Model 39:5540–5558 (2015).

    Article  Google Scholar 

  19. Riveiro JA, Marey MF, Marco JL, Alvarez C: Procedure for the classification and characterization of farms for agricultural production planning: Application in the northwest of Spain. Computers and Electronics in Agriculture 61, 169–178 (2008).

    Article  Google Scholar 

  20. Borodin V, Bourtembourg J, Hnaien F, Labadie N, Handling uncertainty in agricultural supply chain management. European Journal of Operational Research 254, 348–359 (2016).

    Article  Google Scholar 

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Correspondence to Nestor E. Caicedo Solano .

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Caicedo Solano, N.E., García LLínás, G.A., Montoya-Torres, J.R. (2022). Operational Planning Model for Harvesting of Fresh Agricultural Products. In: Vargas Florez, J., et al. Production and Operations Management. Springer Proceedings in Mathematics & Statistics, vol 391. Springer, Cham. https://doi.org/10.1007/978-3-031-06862-1_14

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