
Carolina Soares de Morais
Researcher
Centro de Estudos de Gestão do Instituto Superior Técnico
Carolina Soares de Morais has a degree in Mining Engineering from Universidade do Estado de Minas Gerais, with exchange experience at Universidade de Vigo, where she attended courses in Industrial Engineering. She recently received her PhD in Engineering and Management from Instituto Superior Técnico - University of Lisbon. She has professional experience in fractional load transportation (4 years working with fleet management in a logistics company in Brazil) and is currently a researcher at CEGIST - Centre for Management Studies of Instituto Superior Técnico, with focus on the investigation of route optimization problems applied to smart waste management.
Publications
International Journal of Systems Science: Operations & Logistics | 2023
SUM2020 / 5TH Symposium on Urban Mining and Circular Economy | 2021
Operational Research | 2021
Operational Research | 2019
Research Groups
OpLog – Operations, Logistics and Supply Chain Management
Projects
Mobile-Pro-U: Mobile Processing Unit to Recover Packaging Glass
The present project refers to the development of an integrated system to process waste streams targeting the maximum glass cullet recovery centred in Mobile Processing Units (MPU). The solution proposed in the project relies in the project of an innovative Mobile Processing Unit (MPU), incorporating a whole flowsheet able to process streams containing packaging glass, such as the heavy reject of MBT plants and the bottom ash of the incinerators fed with undifferentiated urban waste, that produces a glass product with added value.
WSmart Route - Waste Collection Based on a Real Time Route Planning System
The WSmart Route project explores a new paradigm based on smart waste management, where real-time information plays a central role in changing the way operations are managed today. Recent advances in ICT make it possible to access information in real time through the use of sensors located inside the containers. However, access to the information collected by these sensors is not sufficient to increase efficiency in the waste collection operation by itself, making it essential to optimize the collection routes according to that information.