La *Maestría en Logística y Cadena de Suministro* tiene el agrado de invitar al público en general a su seminario, el cual se llevará a cabo el *lunes 14 de marzo del 2022 a las 6:00 pm* el cuál se llevará a cabo en línea por medio del *Equipo MS Teams Seminario Logística Enero 2022 (Código Equipo * *gxo00jo)*. Teniendo las siguientes presentaciones: *Title*: The sugarcane supply chain - A review of mathematical optimization models *Speaker:* Dra. Socorro Rangel
*Abstract: *Sugarcane is a product of great economic relevance and, as well as its use for the production of different types of sugar, it is also a renewable source for the production of bio-fuels, other bio-products, and electricity. In this context, efficient planning and technology changes are necessary to ensure high productivity, competitiveness and harmony with economic, social, and environmental issues. Mathematical optimization models can be useful to build efficient planning tools for the activities involved in the sugarcane supply chain, helping to address these challenges. In this talk we present a description of the sugarcane supply chain and a literature review of mathematical optimization models that have been proposed to represent its main stages: planting, harvesting, transporting, industrial processing, and marketing. The findings show that several models have been proposed to represent these five stages, however, most of them have not been thoroughly explored from the point of view of strength of the models and solution methods. Moreover, the harvesting stage is the one that has received more attention than the other stages. In the coordination of two or more stages, there are many challenges yet to be addressed by mathematical optimization models. This research has been partially funded by the Brazilian agencies: FAPESP, CAPES, CNPq.
*Short Bio:* Socorro Rangel is a volunteer professor in the Mathematics Department at UNESP- Campus São José do Rio Preto-Brazil, where she worked from 1989 to 2021. She received her PhD at Brunel University, England in 1996. Since then she has been mainly involved in the study of large-scale combinatorial optimisation problems. The focus has been on building efficient models for practical applications, and developing solving techniques based on hybrid algorithms that combine several methods such as partial enumeration, cutting planes, heuristics, pre-processing and aggregation/decomposition. Among the applications, she has been involved in modelling and solving production planning problems in soft drink and furniture industry.
Alumnos de inscritos en 2do, 4to y 6to, así como estudiantes de TC- CONACYT, asistencia obligatoria.
*Link: * https://teams.microsoft.com/l/meetup-join/19%3ad34adbfde042457f8cbd2f98fbb8c...