
Tânia Rute Xavier de Matos Pinto Varela
Associate Professor
Instituto Superior Técnico
Tânia Pinto Varela is a Associated Professor in Engineering and Management Department, at Instituto Superior Técnico (IST), University of Lisbon, and a member of the Center for Management Studies (CEGIST), since 2011. She has a Bachelor´s degree in Operation Research and Systems Engineering and a PhD in Industrial Engineering and Management.
Tânia Pinto Varela has published more than 30 papers in an international peer-review scientific journal. She has been involved in more than ten Portuguese and European Union funded project since 2001. Her research interests focus on the design, planning and scheduling of process systems, energy integration and transition; design and planning of sustainable supply chains, covering sectors such as Manufacturing Industries, Automotive, Pharmaceutical, and Food aiming to optimize processes and resources leading to their efficiency and resiliency, considering sustainable industries (SDG 9), mitigate the environmental impact (SDG 11) and ensuring healthy lives and promoting universal well-being coverage (SDG3).
Publications
Computer Aided Chemical Engineering | 2024
Proceedings of the 3rd International Conference on Water Energy Food and Sustainability (ICoWEFS 2023) | 2024
Journal of Cleaner Production | 2023
Decision Support Systems | 2023
Bruno Barracosa
João Felício
Leonilde Moreira
Filipa Mendes
Sandra Verde
Computer Aided Chemical Engineering | 2023
Research Groups
OpLog – Operations, Logistics and Supply Chain Management
MOSAIC – systems modelling and Methods of Operations reSearch And analytICs
Projects
Future Pharma - Pharmaceutical Supply Chain of the Future
The pharmaceutical industry is being challenged to become more cost-efficient and responsive when developing and making drugs. Scientific and technological breakthroughs, increasing societal pressures, stringent regulations, and fast-changing markets are pushing the pharmaceutical supply chain to the limit. Recent findings confirm that the industry is struggling to maintain the right levels of innovation to ensure R&D productivity.
DM4 MANUFACTURING PROJECT
The main objective of the DM4Manufacturing project is the integrated development of advanced robotics with decision making methodologies to maximize the productivity of the factories of the future. Robots will be able to collaborate with humans in a shared workspace in the shop-floor, creating a co-working partnership, and will receive manufacturing orders in a completely flexible manufacturing scenario.
mSSChain - Managing Sustainable Supply Chains Sustainable Supply Chains
The m-SSChain project address the research questions how to design, plan and operate Sustainable Supply Chain (SSC) under an uncertain environment. Within this scope, the project aims to develop comprehensive and innovative general models for the design, planning and operation of resilient SSC under uncertainty. These models will be validated using real industrial cases.