Abstract
Palm oil industry is an important agricultural activity in Colombia. Agents of this industry have chosen associative strategies and vertical integrations to increase their efficiency. However, reducing logistics costs to compete with countries such as Thailand and Malaysia, is still a challenge, also due to the scarceness of applied research in the palm oil logistics processes. In this paper, we present a continuous-discrete simulation-based approach to evaluate and optimize the fresh fruit bunches unloading process at the mill. Two simulation models representing the current process and alternative process scenarios were developed and compared. The findings show that important improvements in waiting time and supplier satisfaction can be achieved without major investments.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
FEDEPALMA: Anuario estadístico 2017: Principales cifras de la agroindustria de la palma de aceite en Colombia 2012–2016, Bogotá D.C. (2017)
Superintendencia de Industria y Comercio: Agroindustria de la Palma de Aceite: Diagnóstico de Libre Competencia, pp. 1–9 (2011)
Duarte-Guterman Cía. Ltda.: Actualización de Costos de Producción de Aceite de Palma Informe final, Bogotá, Colombia (2009)
Joines, J.A., Roberts, S.D.: Simulation Modeling with SIMIO: A Workbook. Simio LLC, Pittsburgh (2015)
Beamon, B.M.: Supply chain design and analysis: models and methods. Int. J. Prod. Econ. 55(3), 281–294 (1998). https://doi.org/10.1016/S0925-5273(98)00079-6
Van Der Vorst, J.G.A.J., Beulens, A.J.M., Van Beek, P.: Modelling and simulating multi-echelon food systems. Eur. J. Oper. Res. 122(2), 354–366 (2000). https://doi.org/10.1016/S0377-2217(99)00238-6
Hung, W.Y., Samsatli, N.J., Shah, N.: Object-oriented dynamic supply-chain modelling incorporated with production scheduling. Eur. J. Oper. Res. 169(3), 1064–1076 (2006). https://doi.org/10.1016/j.ejor.2005.02.009
Lopez Milan, E., Miquel Fernandez, S., Pla Aragones, L.M.: Sugar cane transportation in Cuba, a case study. Eur. J. Oper. Res. 174(1), 374–386 (2006). https://doi.org/10.1016/j.ejor.2005.01.028
Grunow, M., Günther, H.O., Westinner, R.: Supply optimization for the production of raw sugar. Int. J. Prod. Econ. 110(1–2), 224–239 (2007). https://doi.org/10.1016/j.ijpe.2007.02.019
López-Milán, E., Plà-Aragonés, Lluis M.: Optimization of the supply chain management of sugarcane in Cuba. In: Plà-Aragonés, Lluis M. (ed.) Handbook of Operations Research in Agriculture and the Agri-Food Industry. ISORMS, vol. 224, pp. 107–127. Springer, New York (2015). https://doi.org/10.1007/978-1-4939-2483-7_5
Doriguel, F., Crusciol, C.A.C., de O Florentino, H.: Mathematical optimization models in the sugarcane harvesting process. Sugarcane Technol. Res. (2018). https://doi.org/10.5772/intechopen.71530
Mohd-Lair, N.-A., Chan, C., Chua, B., Liew, W.Y.H.: Application of simulation in process improvement of palm oil mill FFB production: a case study. In: IEEE 2012 International Conference Statistics Science Business, Engineering, pp. 1–5 (2012). https://doi.org/10.1109/icssbe.2012.6396617
Kelton, W.D., Sadowski, R.P., Sturrock, D.T.: Simulation with Arena. McGrawHill Inc., New York (2007)
Iannoni, A.P., Morabito, R.: Análise do sistema logístico de recepção de cana-de-açúcar: um estudo de caso utilizando simulação discreta. Gestão Produção 9(2), 107–128 (2002). https://doi.org/10.1590/S0104-530X2002000200002
Prichanont, K., Prichanont, S., Buransri, N.: Improvement guidelines for sugar cane delivery systems. In: 35th International Conference on Computers and Industrial Engineering, pp. 1585–1590 (2005)
McDonald, B.C., Dube, E., Bezuidenhout, C.N.: TranSwarm: a sugarcane transport simulation model based on behavioural logistics. In: Proceedings of South African Sugar Technolohy Association, pp. 434–438 (2008)
de Assis Rangel, J.J., Cunha, A.P., de Azevedo, L.R., Vianna, D.S.: A simulation model to evaluate sugarcane supply systems. In: Simulation Conference (WSC), Proceedings of the 2010 Winter, pp. 2114–2125 (2010)
Bocanegra-Herrera, C.C., Vidal, C.J.: Development of a simulation model as a decision support system for sugarcane supply [Desarrollo de un modelo de simulación como un sistema de soporte de decisiones para el abastecimiento de caña de azúcar]. Dyna 83(198), 181–187 (2016). https://doi.org/10.15446/dyna.v83n198.52719
Das, M., Tomazela, G.J.M., Leandro, C.R., Oliveira, M.C., de Campos, F.C.: Simulação de eventos discretos na avaliação de um processo de corte, carregamento e transporte de cana-de- açúcar. Espacios, vol. 38, no. 21, p. 41 (2017)
Lestari, F., Ismail, K., Bakar, A., Hamid, A., Supriyanto, E., Sutupo, W.: Simulation of refinery-supplier relationship. In: International MultiConference Engineers Computer Scientists, vol. II, pp. 1–5 (2016)
Alfonso, E., Ferrucho, D., Roldán, A., Vargas, M., González, F.: Scenario analysis for reverse logistics implementation case study of the palm oil supply chain. In: Proceedings of 2009 Winter Simulation Conference, pp. 2310–2319 (2009)
Adarme, W., Fontilla, C., Arango, M.D.: Modelos logisticos para la optimizacion del transporte de racimos de fruto de palma de aceite en Colombia. Cienc. e Ing. Neogranadina 21, 89–114 (2011)
García-Cáceres, R., Núñez-Moreno, A., Ramírez-Ortiz, T., Jaimes-Suárez, S.: Caracterización de la Fase Upstream de la Cadena de Valor y Abastecimiento de la Agroindustria de la Palma de Aceite en Colombia. Dyna 179, 79–89 (2013)
Alfonso-Lizarazo, E.H., Montoya-Torres, J.R., Gutiérrez-Franco, E.: Modelling reverse logistics process in the agro-industrial sector: the case of the palm oil supply chain. Appl. Math. Model. 37, 9652–9654 (2013). https://doi.org/10.1016/j.apm.2013.05.015
García-Cáceres, R., Martínez-Avella, M.E., Palacios-Gómez, F.: Tactical optimization of the oil palm agribusiness supply chain. Appl. Math. Model. 39(20), 6375–6395 (2015). https://doi.org/10.1016/j.apm.2015.01.031
Ocampo, M.B., Gutiérrez, L.F., Sánchez, Ó.J.: Simulation of palm oil refining process. In: Vitae, vol. 23 (2016)
Velosa, F., Gomez, J.M.: Simulation and optimization of the process used in Colombia for the production of biodiesel from palm oil: a kinetic analysis and an economical approach. Technology 1, 2 (2008)
Zapata, C., Martínez, I., Arenas Castiblanco, E., Henao Uribe, C.: Producción De Biodiesel a Partir De Aceite Crudo De Palma: Diseño Y Simulación De Dos Procesos Continuos. Dyna 151, 71–82 (2007)
Banks, J., Carson, J.S., Nelson, B.L., Nicol, D.M.: Discrete Event System Simulation. New Jersey Prentice Hall Inc., Upper Saddle River (2000)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Racedo-Gutiérrez, J., Collazos-Morales, C., Gómez-Rueda, L., Sánchez-Cifuentes, J., Sanz, F.A., Cardenas, C.A. (2020). Improving Fresh Fruit Bunches Unloading Process at Palm Oil Mills with Discrete-Event Simulation. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science(), vol 12249. Springer, Cham. https://doi.org/10.1007/978-3-030-58799-4_17
Download citation
DOI: https://doi.org/10.1007/978-3-030-58799-4_17
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-58798-7
Online ISBN: 978-3-030-58799-4
eBook Packages: Computer ScienceComputer Science (R0)