An optimization model for the aggregate production planning of a Brazilian sugar and ethanol milling company

DOI10.1007/S10479-008-0428-9zbMath1279.90210OpenAlexW1992228855WikidataQ57719511 ScholiaQ57719511MaRDI QIDQ839784

Rafael P. O. Paiva, Reinaldo Morabito

Publication date: 3 September 2009

Published in: Annals of Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10479-008-0428-9

zbMATH Keywords

mixed integer optimizationproduction lot-sizingaggregate production planningprocess selectionsugar and ethanol Mills

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Mixed integer programming (90C11)

Related Items (7)

A multiple objective methodology for sugarcane harvest management with varying maturation periods ⋮ An optimization model for combined selecting, planting and harvesting sugarcane varieties ⋮ A review of mathematical optimization models applied to the sugarcane supply chain ⋮ A hierarchical supply chain model for the sugar–alcohol energy sector with robust optimization analysis ⋮ Addressing uncertainty in sugarcane harvest planning through a revised multi-choice goal programming model ⋮ Joint optimization of pricing and planning decisions in divergent supply chain ⋮ Harvest planning in the Brazilian sugar cane industry via mixed integer programming

Cites Work

• Australian sugar mills optimise siding rosters to increase profitability
• Sugar cane transportation in Cuba, a case study
• Scheduling of road vehicles in sugarcane transport: a case study at an Australian sugar mill
• Improving harvesting and transport planning within a sugar value chain
• COMBINING PROCESS SELECTION AND LOT SIZING MODELS FOR PRODUCTION SCHEDULING OF ELECTROFUSED GRAINS
• Optimizing transportation and storage of final products in the sugar and ethanol industry: a case study

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