The dynamic stochastic linear programming model for management in the consumption of fuel in flex

Main Article Content

Paulo Cesar Chagas Rodrigues

Abstract

From the amount invested in fuel prices, the rate of road that owners of vehicles powered by combustion need to run within the city and on the roads in the region, began a study in order to allow a better definition as to the cost of supply of vehicle with Ethanol or gasoline. And to analyze the equation that the government, through Petrobras announces in the media, because it is mentioned that to obtain the lowest cost when the supply should divide the value of a liter of Ethanol Gasoline for that case stay above 0.70 is the ideal fuel to petrol and vice versa.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

Article Details

Section
Articles
Author Biography

Paulo Cesar Chagas Rodrigues, Insituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP) Campus Avaré

Curso o doutorado em Engenharia Mecânica na UNESP de Guaratinguetá.

References

ALLEN S. J.; SCHUSTER, E. W. (2004) Controlling the risk for a agricultural harvest. Manufacturing & Service Opertions Management, v. 6, n. 3, p 225-236.

BERTRAND, J. W. M.; FRANSOO, J. C. (2002) Modeling and Simulation: Operations management research methodologies using quantitative modeling. International Journal of Operations & Production Management, v. 22, n. 02, p. 241-264.

GARCÍA-DASTUGUE, S. J. (2003) Dynamic time-based postponement: Conceptual development and empirical test. Ph.D, Ohio: Ohio State University.

GOLDBERG, D. E. (2000) Genetic algorithms in search, Optimization and Machine Leaning. Addison Wesley Limited.

GRONDIN, F. (1998) Improvements of the dynamic programming algorithm for tree bucking. Wood and Fiber Science, v. 30, n. 1, p. 91-104.

KIVINEN, V. P. (2007) Design and testing of stand-specific bucking instructions for use on modern cut-to-length harvesters. Dissertação (Department of Forest Resource Management), Helsinki: University Helsinki.

KO, M.; TIWARI, A.; MEHNEN, J. (2010) A review of soft computing applications in supply chain management. Applied Soft Computing. V. 10, p. 661-674.

LAMBERT, D. M.; EMMELHAINZ, M. A.; GARDNER, J. T. (1996) Developing and Implementing Supply Chain Partnerships. The International Journal of Logistics Management, v. 7, n. 2, p. 1-18.

LAWRENCE, J. A.; PASTERNACK, B. A. (2001) Applied management science: modeling, spreadsheet analysis, and communication for decision making. 2 ed. New Jersey: Wiley.

Most read articles by the same author(s)

1 2 3 4 5 6 > >>