Markov Model to Determinate the Rational Structure of Harvest-Transport Complex in Sugarcane

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Published: Feb 17, 2019
Keywords:
optimization, mathematical models, probability

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Yanara Rodríguez López
Universidad Agraria de La Habana
Yanoy Morejón-Mesa
Universidad Agraria de La Habana
Dagoberto Sosa-Guerra
Universidad Agraria de La Habana
Jorge Manuel-Blanco
Universidad Agraria de La Habana
Orlando Martínez-Bao
Universidad Agraria de La Habana

Abstract

The present investigation was carried out in Enterprise Unit “Héctor Molina Riaño”, with the objective of determining the rational structure of the complex harvest-transport of sugarcane with the use of Markov Model. It was obtained that, for a field with 22,8 t/ha yield, the brigade is organized with two harvester machines (with 16,37% of probability of one failing or breaking) and two means of transport (with 4,7% of probability of one failing or breaking). Given that, the probability of harvester machines operating with external means of transport is almost null, the expense for cycle stop (harvest-transport-reception) is 10,73 peso/h.

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How to Cite
Rodríguez López, Y., Morejón-Mesa, Y., Sosa-Guerra, D., Manuel-Blanco, J., & Martínez-Bao, O. (2019). Markov Model to Determinate the Rational Structure of Harvest-Transport Complex in Sugarcane. Revista Ciencias Técnicas Agropecuarias, 28(1). Retrieved from https://revistas.unah.edu.cu/index.php/rcta/article/view/1081
Issue
Vol. 28 No. 1 (2019): January-February-March
Section
Original Articles

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References

AGUILERA, O.; FONSECA, J.: Aplicación de un procedimiento para evaluar la eficiencia en el proceso de explotación según el consumo de combustible de las cosechadoras de caña KTP-2M, Ed. Grin Verlag, Berlín, Germany, 2013, ISBN: 10: 365646779X; ISBN-13: 978-3656467793.

AMÚ, L.G.: “Logística de cosecha. Evaluación de tiempos y movimientos. Indicadores y control”, Revista Tecnicaña, 26: 25-30, 2010, ISSN: 0123-0409.

BINI, A.D.; LATOUCHE, G.; MEINI, B.: Numerical methods for structured Markov chains, Ed. Oxford University Press on Demand, New York, USA, 2005, ISBN: 0-19-852768-3.

BOLCH, G.; GREINER, S.; DE MEER, H.; TRIVEDI, K.S.: Queueing networks and Markov chains: modeling and performance evaluation with computer science applications, Ed. John Wiley & Sons, 2006, ISBN: 0-471-79156-3.

CHING, W.K.; NG, M.K.: Markov Chains: Models, Algorithms and Applications, Ed. Springer US, New York, USA, 2006, ISBN: 978-1-4614-6312-2.

CONLISK, J.: “Interactive markov chains”, Journal of Mathematical Sociology, 4(2): 157-185, 1976, ISSN: 0022-250X.

FERNÁNDEZ, P.A.; ÁLVAREZ, R.E.: “Determinacion de los principales indicadores de fiabilidad de la cosechadora de cana KTP-1.”, Revista Ciencias Técnicas Agropecuarias, 1(3): 57-60, 1988, ISSN: 1010-2760, E-ISSN: 2071-0054.

FERNANDEZ, P.A.; DELGADO, O.N.: “Analisis del trabajo del parque de tractores en funcion del numero de roturas imprevistas.”, Revista Ciencias Técnicas Agropecuarias, 2(1): 27-32, 1989, ISSN: 1010-2760, E-ISSN: 2071-0054.

HERMANNS, H.: “Interactive markov chains”, En: Interactive Markov Chains, Ed. Springer, pp. 57-88, 2002a.

HERMANNS, H.: “Interactive Markov chains in practice”, En: Interactive Markov Chains, Ed. Springer-Verlag Berlin Heidelberg, vol. 2428, Berlin, Germany, pp. 125-146, 2002b, ISBN: 978-3-540-45804-3.

IBE, O.: Markov processes for stochastic modeling, Ed. Newnes, 2013, ISBN: 0-12-407839-7.

KIJIMA, M.: Markov Processes for Stochastic Modeling, Ed. Chapman & Hall, 1st edición ed., Cambridge, USA, 194 p., 1997, ISBN: 0 412 60660 7.

KIJIMA, M.: Markov processes for stochastic modeling, Ed. Springer, Cambridge, USA, 2013, ISBN: 1-4899-3132-5.

LÓPEZ, Y.M.; RAMÍREZ, N.M.; DE ARMAS, R.L.P.; MACHADO, Y.M.: “Optimización del proceso Cosecha–Transporte–Recepción de la caña de azúcar”, Revista Cubana de Ciencias Informáticas, 5(3), 2012, ISSN: 2227-1899.

MATOS RAMÍREZ, N.; IGLESIAS CORONEL, C.; GARCÍA CISNEROS, E.: “Organización racional del complejo de máquinas en la cosecha-transporte-recepción de la caña de azúcar en la Empresa Azucarera ARGENTINA”, Revista Ciencias Técnicas Agropecuarias, 23(2): 27-33, 2014, ISSN: 2071-0054.

MATOS, R.N.; IGLESIAS, C. E.: “Modelo económico–matemático para la organización racional de los medios técnicos en la cosecha–transporte-recepción de la caña de azúcar”, Revista de Ciencias Técnicas Agropecuarias, 21(3): 49-54, 2012, ISSN: 1010-2760, E-ISSN: 2071-0054.

MATOS, R.N.; IGLESIAS, C.E.; GARCÍA, C. E.: “Organización racional del complejo de máquinas en la cosecha – transporte – recepción de la caña de azúcar en la Empresa Azucarera “Argentina””, Revista Ciencias Técnicas Agropecuarias, 23(2): 28-33, 2014, ISSN: 1010-2760, E-ISSN: 2071-0054.

ORTIZ-CAÑAVATE, J.: Las máquinas agrícolas y su aplicación, Ed. Mundi Prensa, reimpresa ed., Madrid, España, 526 p., 2003, ISBN: 84-8476-117-7.

RODRÍGUEZ, L.Y.; MOREJÓN, M.Y.; SOSA, G.D.; MARTÍNEZ, B.O.: “Modelación matemática del complejo cosecha-transporte de la caña de azúcar para su racionalización”, Revista de Ciencias Técnicas Agropecuarias, 24(Exp.): 42-48, 2015, ISSN: 1010-2760, E-ISSN: 2071-0054.

SÁNCHEZ, B.A.: “Aplicación de Cadenas de Markov en un proceso de producción de plantas in vitro”, Tecnología en Marcha, 29(1): 74-82, 2016, ISSN: 2215-3241.

SHKILIOVA, L.: “Fundamento teorico para determinar la efectividad de mantenimiento técnico”, Revista Ciencias Técnicas Agropecuarias, 13(1): 51-53, 2004, ISSN: 1010-2760, E-ISSN: 2071-0054.

SHKILIOVA, L.; SUÁREZ, P.C.; IGLESIAS, C.C.: “Fiabilidad de los complejos tecnológicos”, Revista Ciencias Técnicas Agropecuarias, 9(3-4): 23-29, 2000, ISSN: 1010-2760, E-ISSN: 2071-0054.

TIJMS, H.C.; TIJMS, H.C.: Stochastic models: an algorithmic approach, Ed. John Wiley & Sons Chichester, vol. 994, 1994.

YESIN, K.S.; SEVOSTYANOV, A.L.: “Logistics of Grain Transportation: Program Exploitation for Calculation of Optimum Number of Vehicles.”, Ecology and Transport, Bulletin of PNU, 32(1), 2014, ISSN: 1996-3440, Disponible en: http://pnu.edu.ru/media/vestnik/articles-2014/117-124, [Consulta: 10 de diciembre de 2017].

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