Publicado

2016-09-01

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

DOI:

https://doi.org/10.15446/dyna.v83n198.52719

Palabras clave:

Discrete-event simulation, sugarcane supply, decision support system (en)
Simulación por eventos discretos, abastecimiento de caña de azúcar, sistema de soporte a las decisiones (es)

Autores/as

This research presents a discrete-event simulation model of cane supply as a decision support system for managers in a sugarcane mill. The research considers harvesting, transporting, and unloading cane at the mill yard, including the time windows, inherent uncertainty in the system, and queues of all operations. The model was implemented in C++, and the Qt Creator development environment was used to generate a graphical interface. We found that fifty percent of the time, the trailers are waiting; we also assessed the impact of mill downtime on the unloaded cane in the mill yard. Additional environments were also evaluated: rainy period, harvesting in remote places, and an alternative configuration at the unloading area that improves the process efficiency.
Esta investigación presenta un modelo de simulación de eventos discretos del sistema de abastecimiento de caña como sistema de soporte a las decisiones para los administradores en los ingenios azucareros. Comprende las operaciones de cosecha, transporte y descarga de la caña en el patio del ingenio, además tiene en cuenta ventanas de tiempo, la incertidumbre inherente del sistema y considera las colas de todas las operaciones. El modelo fue implementado en C++ utilizando el entorno de desarrollo Qt Creator para generar una interfaz gráfica. Se encontró que el 50% del tiempo las tractomulas se encuentran en espera, además se evaluó el impacto de los paros de molienda en la cantidad de caña descargada. Otros ambientes fueron también evaluados: época lluviosa, cosecha en campos lejanos y una configuración alternativa en la zona de descarga de caña que mejora la eficiencia del proceso.

Referencias

Power, D.J., Decision support systems: Concepts and resources for managers, Westport: Greenwood publishing Group, 2002.

Cochran, J.K. and Chen, M.S., An integrated multicomputer DSS design for transport planning using embedded computer simulation and database tool, Decision Support Systems, 7, pp. 87-97, 1991.

Lejars, C., Auzoux, S., Siegmund B. and Letourmy P., Implementing sugarcane quality-based payment systems using a decision support system, Computers and Electronics in Agriculture, 70, pp. 225-233, 2010.

Nilsson, D., Dynamic simulation of straw harvesting systems: Influence of climatic, geographical and biological factors on performance and costs, Journal of Agricultural Engineering Research, 76, pp. 27-36, 2000. DOI: 10.1006/jaer.1999.0456

Sokhansanj, S., Kumar, A. and Turhollow, A.F., Development and implementation of integrated biomass supply analysis and logistics model (IBSAL), Biomass and Bioenergy 30, pp. 838-847, 2006. DOI: 10.1016/j.biombioe.2006.04.004

Kumar, A. and Sokhansanj, S., Switchgrass (Panicum vigratum, L.) delivery to a biorefinery using integrated biomass supply analysis and logistics (IBSAL) model, Bioresource Technology, 98, pp. 1033-1044, 2007. DOI: 10.1016/j.biortech.2006.04.027

Parthanadee, P. and Buddhakulsomsiri, J., Simulation modeling and analysis for production scheduling using real-time dispatching rules: A case study in canned fruit industry, Computers and Electronics in

Agriculture, 70, pp. 245-255, 2010. DOI: 10.1016/j.compag.2009.11.002

Mobini, M., Sowlati, T. and Sokhansanj, S., Forest biomass supply logistics for a power plant using the discrete-event simulation approach, Applied Energy, 88, pp. 1241-1250, 2011. DOI: 10.1016/j.apenergy.2010.10.016

Busato, P. and Berruto, R., A based-web tool for biomass production systems, Biosystem Engineering Special Issue: Operations Management, 120, pp. 102-116, 2013. DOI: 10.1016/j.biosystemseng.2013.09.002

Barnes, A., Meyer, E. and Schmidt, E., Evaluation of methods to reduce harvest-to-crush delays using a simulation model, Proc. S. Afr. Sug. Technol. Ass., 74, pp. 25-28, 2000.

Guilleman, E., Le Gal, P.Y., Meyer, E. and Schmidt, E., Assessing the potential for improving mill area profitability by modifying cane supply and harvest scheduling: A South African study, Proc. S. Afr. Sug. Technol. Ass., 7, pp. 566-579, 2003.

Le Gal, P.Y., Lejars C. and Auzoux, S., Magi: A simulation tool to address cane supply chain management. Proceedings of the South African Sugar Technologists' Association. Durban, South African, 77, 200, pp. 553-565, 2003.

Lejars, C., Le Gal, P.Y. and Auzoux, S., A decision support approach for cane supply management within a sugar mill area, Computers and Electronics in Agriculture, 60, pp. 239-249, 2008. DOI: 10.1016/j.compag.2007.08.008

Le Gal, P.Y., Lyne, P.W.L., Meyer E. and Soler, L.G., Impact of sugarcane supply scheduling on mill sugar production: A South African case study, Agricultural Systems, 96, pp. 64-74, 2008. DOI: 10.1016/j.agsy.2007.05.006

Le Gal, P.Y., Le Masson, J., Bezuidenhout, C.N. and Lagrange, L.F., Coupled modelling of sugarcane supply planning and logistics as a management tool, Computer and Electronics in Agriculture, 68, pp. 168-177, 2009. DOI: 10.1016/j.compag.2009.05.006

Arjona, E., Perez, V., Bueno, G. and Salazar, L., An interactive simulation environment for evaluating managerial decisions in a sugarcane plantation in Mexico, ARPN Journal of Agricultural and Biological Science, 9, pp. 24-37, 2014.

Higgins, A., Antony, G., Sandell, G., Davies, I., Prestwidge, D. and Andrew, B., A framework for integrating a complex harvesting and transport system for sugar production, Agricultural Systems, 82, pp. 99-115, 2004. DOI: 10.1016/j.agsy.2003.12.004

Higgins, A. and Davies, I., A simulation model for capacity planning in sugarcane transport, Computers and Electronics in Agriculture, 47, pp. 85-102, 2005. DOI: 10.1016/j.compag.2004.10.006

Iannoni, A.P. and Morabito, R., A discrete simulation analysis of a logistics supply system, Transportation Research Part E: Logistics and Transportation Review, 42, pp. 191-210, 2006. DOI: 10.1016/j.tre.2004.10.002

Jorio, R., Legendre, B., Gautz, L. and Abdellaouir, R., Incorporation of sugarcane harvesting and transport variables into a sugarcane harvest and transport scheduling model. Proc. S. Afr. Sug. Technol. Ass., 80, pp. 71-85, 2006.

Rangel, A.J.J., Prado, A.C. and Rangel, L.R., A simulation model to evaluate sugarcane supply systems. Proceedings of the 2010 Winter Simulation Conference, Baltimore, USA, pp. 2114-2125, 2010. DOI: 10.1109/WSC.2010.5678861

Hameed, I.A., Bochtis, D.D., Sørensen, C.G. and Vougioukas, S., An object-oriented model for simulating agricultural in-field machinery activities, Computer and Electronics in Agriculture, 81, pp. 24-32, 2012.

Tischer, I. y Carrion, A., La planificación jerárquica y su aplicación a la cosecha de la caña de azúcar en Colombia, Ingeniería y Competitividad, 4, pp. 42-52, 2003.

Neungmatcha, W., Sethanan, K., Gen, M. and Theerakulpisut, S., Adaptive genetic algorithm for solving sugarcane loading stations with multi-facility services problem, Computers and Electronics in Agriculture, 98, pp. 85-99, 2013. DOI: 10.1016/j.compag.2013.07.016

Da Silva, A.F., Silva, F.A. and Dias, E.X., Addressing uncertainty in sugarcane harvest planning through a revise multi-choice goal

Bocanegra-Herrera & Vidal / DYNA 83 (198), pp. 181-187, Septiembre, 2016.

programming model, Applied mathematical modelling, 39(18), pp. 5540-5558, 2015. DOI: 10.1016/j.apm.2015.01.007

Amú, L.G., Modelo de simulación y optimización para la gestión logística del sistema de abastecimiento de caña en un ingenio sucro-alcoholero colombiano, Tesis de Grado, Departamento de Ingeniería Industrial, Universidad del Valle, Cali, Colombia, 2011.

Dimensions

PlumX

Visitas a la página del resumen del artículo

1491

Descargas

Los datos de descarga aún no están disponibles.

Cómo citar

[1]
C. C. Bocanegra-Herrera y C. J. Vidal-Holguín, «Desarrollo de un modelo de simulación como un sistema de soporte de decisiones para el abastecimiento de caña de azúcar», DYNA, vol. 83, n.º 198, pp. 180–186, sep. 2016, doi: 10.15446/dyna.v83n198.52719.