Prof. Deisemara Ferreira

Her main research interests are optimization model for production planning problems and logistics. She has been working with lot sizing and scheduling problems over the past years, attempting to propose new mixed-integer linear optimization models to realistically describe practical production planning settings. Due to the complexity of such models, part of this research line focuses on developing solution methods to provide good-quality solutions. The integration of production planning and distribution problems within a supply chain scope is also part of her academic research. More recently, she has collaborated on the investigation of some logistics problems under uncertainty that arises in disaster relief situations. Basically, the aim of this branch of research is to propose new efficient models and mathematical-based heuristics to solve real-life instances based on Brazilian disasters.

Position

Assistant Professor at the Department of Physics, Chemistry and Mathematics (DFQM) at the Federal University of São Carlos (UFSCar-Sorocaba) – CCTS, Brazil.

Currently, she supervises Master’s and PhD students enrolled in the Production Engineering Graduate Program (PPGEPS-So) at the Federal University of São Carlos (UFSCar-Sorocaba) – CCGT, Brazil.

Education:

2002-2006. PhD in Production Engineering (Operations Research emphasis). Federal University of São Carlos (UFSCar-São Carlos), Brazil.
2000-2002. MSc in Applied Mathematics, São Paulo State University “Júlio de Mesquita Filho”, São José do Rio Preto, SP, Brasil.
1996-1999. Mathematics degree. São Paulo State University “Júlio de Mesquita Filho”, São José do Rio Preto, SP, Brasil.
Position
Assistant Professor in Department of Physics Chemistry and Mathematics (DFQM), Federal University of São Carlos (UFSCar-Sorocaba) – CCTS, Brazil.
Currently, I supervise Master and PhD students   enrolled in the Production Engineering postgraduate programme (PPGEPS-So). Federal University of São Carlos (UFSCar-Sorocaba) – CCGT, Brazil.

Areas of interest:

• Production planning, lot sizing and scheduling problems.
• Reverse Logistics and Humanitarian Logistics, Distribution, Supply Chain Management.
• Operational Research, Mathematical Modeling and Solution Methods.

Research Groups:

Leader of the Research Group on Mathematical and Computational Methods Applied to Engineering

Researcher of the Research Group in Operations and Logistics (GPOL) - UFSCar