Ana Paula Barbosa Póvoa
Full Professor
Instituto Superior Técnico
Ana Barbosa-Póvoa is a Full Professor in Operations and Logistics, at the Engineering and Management Department of Instituto Superior Técnico (IST), University of Lisbon. She holds a PhD from the Imperial College of Science Technology and Medicine and her research focus is on developing a comprehensive understanding of complex problems in supply chains and operations management, supported by novel and sound engineering systems models and techniques. Sustainability, resilience, uncertainty and risk in the design and planning of supply chains are among the main research-addressed domains. Ana has created and coordinates the research group in Operations Management and Logistics and Supply Chain Management (OpLog) at the Centre for Management Studies of IST. She has a large experience of in supervision and has been awarded with several research grants. Her research has led to several national and international awards having twice received the honor of being considered the best researcher in Industrial Management at the University of Lisbon. She is an editor of the Computers and Chemical Engineering Journal and a member of several editorial boards, namely the European Journal of Operational Research, the International Journal of Production Economics, TOP, and Operations Research Perspectives. She is one of the Vice Presidents of the EURO, European Association of Operational Research Society; a founder member of the Euro Working Group in Sustainable Supply Chains of the European Association of Operational Research – where she is currently part of the coordination team, and a member of the Euro Working Group on Retail, and the Euro Working Group on Location and Analysis. She serves in the events sub-committee of the EURO WISDOM Forum.
Publications
Springer Proceedings in Mathematics and Statistics | 2019
C. Barbosa
N. Falcão e Cunha
C. Malarranha
P. Amorim
M.S. Carvalho
A. Azevedo
T. Pinto-Varela
A.C. Barros
F. Alvelos
C. Alves
J.P. De Sousa
B. Almada-Lobo
J.V. De Carvalho
Processes | 2019
Journal of Cleaner Production | 2019
Computer Aided Chemical Engineering | 2018
Computer Aided Chemical Engineering | 2018
J.M. Pinto
Research Groups
OpLog – Operations, Logistics and Supply Chain Management
Projects
WSmart Route+ : Towards a Smart Waste Collection Route Planning System
The WSmart Route+ project studies a new paradigm on smart waste management. Data analytics combined with route optimization will be explored to improve waste collection operation supporting the adoption of a smart waste collection based on dynamic routes as opposed to the traditional blind collection that is based on static routes. Everyday thousands of kilometres are travelled to collect tonnes of waste with high uncertainty on the amount of waste in each bin, a fact that can lead to inefficient collection operations where resources are used to collect often a small amount of waste.
LAIfeBlood - Artificial Intelligence for Blood Management
The goal of LAIfeBlood project is to provide IPST with new tools to improve efficiency of blood supply operations in Portugal. LAIfeBlood project is particularly focused on: (1) extracting temporal and geographical patterns from historical collection and transfusion data; (2) developing predictive models for the expected collections and transfusions in different temporal and geographic areas; and (3) developing software tools to optimize the planning of collections at the national level according to the availability of IPST teams and resources and collection events.
ImproveOR - Decision support tools for better quality in operating rooms management
The ImproveOR project aims at improving efficiency in surgical care delivery and at improving access to surgical care, as a result of an increase of the operating room responsiveness to surgical demand and a better coordination between surgical supply and demand. Decision support tools are developed combining optimization approaches to assist resource capacity planning decisions in the operating room with structured participatory approaches to capture stakeholders’ views and preferences regarding the surgical patient flows and the planning and scheduling of surgeries.
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.