Abstract
This chapter describes the application of linear programming techniques to the automatic planning of manufacturing and distribution decisions at the main sugar producer in Argentina. We summarize the production and logistics chain for the sugar business of this company, and present a linear programming model representing the key planning decisions within these processes. We provide details on the implementation of a software tool for managing the data, solving the model, and analyzing the results. That software tool and embedded model allowed the sugar planning team to improve the planning decisions by having a global comprehension of a very complex decision structure and analyzing multiple scenarios. At the same time, the team obtained a better understanding of the limits and potential of the available industrial and logistical facilities.
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References
Chiadamrong N, Kawtummachai R (2008) A methodology to support decision-making on sugar distribution for export channel: a case study of Thai sugar industry. Comput Electron Agric 64(2):248–261
DÃaz J, Pérez I (2000) Simulation and optimization of sugar cane transportation in harvest season. In: Proceedings of the 32nd winter simulation conference, pp 1114–1117
Higgins A (1999) Optimizing cane supply decisions within a sugar mill region. J Sched 2(5):229–244
Higgins A (2002) Australian sugar mills optimize harvester rosters to improve production. Interfaces 32(3):15–25
Higgins A, Beashel G, Harrison A (2006) Scheduling of brand production and shipping within a sugar supply chain. J Oper Res Soc 57:490–498
Hollingworth J, Allsop J, Butterfield D, Swart R, Smith M, Woodbury W, Turnbull K, Bonavita J, Chandler D, Banks D, Almannai K, Cashman M, Blanton II P, Wu S, Winters C (2000) C++ builder 5 developer’s guide. Sams Professional, New York
Kostina A, Guillén-Gosálbeza G, Meleb F, Bagajewiczc M, Jiméneza L (2010) Integrating pricing policies in the strategic planning of supply chains: a case study of the sugar cane industry in Argentina. Comput Aided Chem Eng 28:103–108
Lejars C, Le Gal P, Auzoux S (2008) A decision support approach for cane supply management within a sugar mill area. Comput Electron Agric 60:239–249
Le Gal P, Le Masson J, Bezuidenhout C, Lagrange L (2009) Coupled modelling of sugarcane supply planning and logistics as a management tool. Comput Electron Agric 68(2):168–177
Mosek ApS (2010) The MOSEK optimization tools manual. Mosek ApS, Copenhagen
Taechasook P, Sethanan K, Bureerat S (2008) Application of genetic algorithms for sugar cane harvesting decision. Proceedings of the technology and innovation for sustainable development conference, pp 172–177
Acknowledgements
The authors would like to thank Fabio BardÃn, Miguel Casares, Hugo DÃaz, Miguel Kremer, Alejandro Peuchot, Rodolfo Roballos, Alberto Salvado, and Alejandro Serrano from Ledesma SAAI. The authors are indebted to Prof. James Bookbinder for his valuable comments and remarks, which greatly improved this chapter.
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Braier, G., Marenco, J. (2013). Strategic and Tactical Modeling in the Argentine Sugar Industry. In: Bookbinder, J. (eds) Handbook of Global Logistics. International Series in Operations Research & Management Science, vol 181. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-6132-7_5
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DOI: https://doi.org/10.1007/978-1-4419-6132-7_5
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