Document Type

Article

Publication Date

9-11-2013

Journal/Book/Conference Title

Transportation Science

DOI of Published Version

10.1287/trsc.2015.0650

Total Pages

26

Abstract

Sugar mills in Brazil represent significant capital investments. To maintain appropriate returns on their investment, sugar companies seek to run the mills at capacity over the entire nine months of the sugarcane harvest season. Because the sugar content of cane degrades considerably once it is cut, maintaining inventories of cut cane is undesirable. Instead, mills want to coordinate the arrival of cut cane with production. In this paper, we present a model of the sugarcane harvest logistics problem in Brazil. We introduce a series of valid inequalities for the model, introduce heuristics for finding an initial feasible solution, and for lifting the lower bound. Computational results demonstrate the effectiveness of the inequalities and heuristics. In addition, we explore the value of allowing trucks to serve multiple rather than single locations and demonstrate the value of allowing the harvest speed to vary.

Keywords

logistics, integer programming, agriculture/food

Comments

The authors would like to thank John Deere for financial support.

Journal Article Version

Author's Original

Published Article/Book Citation

Transportation Science Vol. 51, No. 2, May 2017, pp. 771–789. https://doi.org/10.1287/trsc.2015.0650

Rights

Copyright © 2013, by Kamal Lamsal, Phillip C. Jones, Barrett W. Thomas.

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URL

http://ir.uiowa.edu/tippie_pubs/62