Process optimization in sugarcane industry

• Grant number: 09/14901-4
• Support Opportunities: Regular Research Grants
• Start date: December 01, 2009
• End date: November 30, 2011
• Field of knowledge: Agronomical Sciences - Forestry Resources and Forestry Engineering - Forest Biomass Energy
• Principal Investigator: Helenice de Oliveira Florentino Silva
• Grantee: Helenice de Oliveira Florentino Silva
• Host Institution: Instituto de Biociências (IBB). Universidade Estadual Paulista (UNESP). Campus de Botucatu. Botucatu , SP, Brazil

Abstract

Brazil is the world's largest sugarcane (Saccharum spp) producer. This culture is responsible for 25% of the world's yield, with a turnover of more than R$ 40 billion a year, and direct employment for more than 3,6 million workers in 354 industries. It is an important socioeconomic crop providing the raw material for three important agro-industries: sugar, spirits and alcohol.The country export 17.2 million tonnes of sugar and 2.5 billion liters of ethanol, generating an average investment in the country of 3 billion dollars per year, which shows the great importance of sugarcane to the Brazilian economy.The businesses of this area acquire large dimensions, the sector faces new challenges, promoting strong impact on the economic, productive, agrarian, environment and social questions. To achieve and sustain all this development, the culture and the productivity of the sugarcane need to grow and the management of the plants needs to advance in efficiency. This requires a great amount of investments in administrative rationalization in the processing units. In this aspect, mathematical modeling and optimization techniques can be of great assistance. The aim is that these techniques contribute to the optimization of the process, can be used as important sources of production estimates, making calculations and helping decisions. (AU)

Scientific publications

(4)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

DE OLIVEIRA FLORENTINO, H.; PATO, M. V.. A bi-objective genetic approach for the selection of sugarcane varieties to comply with environmental and economic requirements. Journal of the Operational Research Society, v. 65, n. 6, SI, p. 842-854, JUN 2014. (10/07585-6, 09/14901-4)

HELENICE O. FLORENTINO; DANIELA R. CANTANE; FERNANDO L.P. SANTOS; CÉLIA A. REIS; MARGARIDA V. PATO; DYLAN JONES; MARIANNA CERASUOLO; ROGÉRIO A. OLIVEIRA; LUIZ G. LYRA. GENETIC ALGORITHM FOR OPTIMIZATION OF THE AEDES AEGYPTI CONTROL STRATEGIES. Pesquisa Operacional, v. 38, n. 3, p. 389-411, 2018-12-00. (14/01604-0, 09/15098-0, 10/07585-6, 09/14901-4)

FLORENTINO, HELENICE DE OLIVEIRA; DE LIMA, ADRIANO DAWISON; DE CARVALHO, LIDIA RAQUEL; BALBO, ANTONIO ROBERTO; DONADON HOMEM, THIAGO PEDRO. Multiobjective 0-1 integer programming for the use of sugarcane residual biomass in energy cogeneration. International Transactions in Operational Research, v. 18, n. 5, p. 605-615, SEP 2011. (10/07585-6, 09/14901-4)

DE OLIVEIRA FLORENTINO, H.; PATO, M. V.. A bi-objective genetic approach for the selection of sugarcane varieties to comply with environmental and economic requirements. Journal of the Operational Research Society, v. 65, n. 6, p. 13-pg., 2014-06-01. (10/07585-6, 09/14901-4)