A mixed-integer linear programming model for harvesting, loading and transporting sugarcane. A case study in Peru

Due to opportunities for economic and social development in the biofuels market, improvement to the supply chain has become a relevant matter. In agro-industrial supply chains, procurement costs are highly relevant. Since sugarcane is a high performance raw material for ethanol production, this pape...

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Vydané v:	Dyna (Medellín, Colombia) Ročník 83; číslo 195; s. 173 - 179
Hlavní autori:	Morales-Chávez, Marcela María, Soto-Mejía, José A., Sarache, William Ariel
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Bogota Universidad Nacional de Colombia 01.01.2016
Predmet:	biocombustibles Biofuels caña de azúcar ENGINEERING, MULTIDISCIPLINARY Ethanol integer lineal programming mixed-integer lineal programming planeación de cadenas de abastecimiento programación lineal entera mixta Sugarcane supply chain planning supply chain planning caña de azúcar programación lineal entera mixta biofuels biocombustibles mixed-integer lineal programming sugarcane planeación de cadenas de abastecimiento
ISSN:	0012-7353, 2346-2183
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Abstract	Due to opportunities for economic and social development in the biofuels market, improvement to the supply chain has become a relevant matter. In agro-industrial supply chains, procurement costs are highly relevant. Since sugarcane is a high performance raw material for ethanol production, this paper proposes a Mixed-Integer Linear Programming Model for cost optimization for harvesting, loading and transportation operations. The model determines the quantity of machines and workers to meet the biofuel plant requirements. Costs of resources for harvesting and loading as well as transportation costs from the land parcel to the production plant are minimized. Also, the model calculates the cost of penalties for shortages (unmet demand) and the cost of equipment idle time. The implementation of the model in a Peruvian biofuels company, showed a cost reduction of around 11 % when compared to the current costs.
AbstractList	Due to opportunities for economic and social development in the biofuels market, improvement to the supply chain has become a relevant matter. In agro-industrial supply chains, procurement costs are highly relevant. Since sugarcane is a high performance raw material for ethanol production, this paper proposes a Mixed-Integer Linear Programming Model for cost optimization for harvesting, loading and transportation operations. The model determines the quantity of machines and workers to meet the biofuel plant requirements. Costs of resources for harvesting and loading as well as transportation costs from the land parcel to the production plant are minimized. Also, the model calculates the cost of penalties for shortages (unmet demand) and the cost of equipment idle time. The implementation of the model in a Peruvian biofuels company, showed a cost reduction of around 11 % when compared to the current costs. Debido a las oportunidades de desarrollo económico y social del mercado de los biocombustibles, el mejoramiento de su cadena de suministro se ha convertido en un tema altamente relevante. Dado que la caña de azúcar es una de las materias primas de mayor rendimiento para la producción de etanol, el presente artículo propone un modelo de Programación Lineal Entera Mixta para optimizar los costos en las operaciones de corte, cargue y transporte. El modelo determina la cantidad de máquinas y trabajadores para satisfacer los requerimientos de la planta de biocombustible. Se minimizan los costos de asignación de equipos, costos de transporte y adicionalmente se consideran los costos de penalización por demanda no satisfecha y por ociosidad de los equipos disponibles. La aplicación de este modelo en una empresa Peruana, presentó un porcentaje promedio de disminución de costos del 11 % al ser comparados con los costos actuales de la empresa. Due to opportunities for economic and social development in the biofuels market, improvement to the supply chain has become a relevant matter. In agro-industrial supply chains, procurement costs are highly relevant. Since sugarcane is a high performance raw material for ethanol production, this paper proposes a Mixed-Integer Linear Programming Model for cost optimization for harvesting, loading and transportation operations. The model determines the quantity of machines and workers to meet the biofuel plant requirements. Costs of resources for harvesting and loading as well as transportation costs from the land parcel to the production plant are minimized. Also, the model calculates the cost of penalties for shortages (unmet demand) and the cost of equipment idle time. The implementation of the model in a Peruvian biofuels company, showed a cost reduction of around 11 % when compared to the current costs.
Author	Morales-Chávez, Marcela María Soto-Mejía, José A. Sarache, William Ariel
AuthorAffiliation	Universidad Libre Seccional Pereira Universidad Tecnológica de Pereira Universidad Nacional de Colombia
AuthorAffiliation_xml	– name: Universidad Libre Seccional Pereira – name: Universidad Tecnológica de Pereira – name: Universidad Nacional de Colombia
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CitedBy_id	crossref_primary_10_1016_j_compag_2018_12_030 crossref_primary_10_3390_a15020060 crossref_primary_10_1016_j_eswa_2023_120881 crossref_primary_10_1111_itor_13018 crossref_primary_10_1016_j_compchemeng_2018_07_012 crossref_primary_10_1016_j_cor_2021_105419
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Title	A mixed-integer linear programming model for harvesting, loading and transporting sugarcane. A case study in Peru
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