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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Veröffentlicht in:Dyna (Medellín, Colombia) Jg. 83; H. 195; S. 173 - 179
Hauptverfasser: Morales-Chávez, Marcela María, Soto-Mejía, José A., Sarache, William Ariel
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Bogota Universidad Nacional de Colombia 01.01.2016
Schlagworte:
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
Online-Zugang:Volltext
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Zusammenfassung: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.
Bibliographie:ObjectType-Article-1
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content type line 14
ISSN:0012-7353
2346-2183
DOI:10.15446/dyna.v83n195.49490