Susana Isabel Carvalho Relvas

Professor Associado

Instituto Superior Técnico

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WEBSITE ORCID CIÊNCIA VITAE ResearcherID Scopus GScholar

Susana Relvas is an Associate Professor at the Department of Engineering and Management (DEG) of Instituto Superior Técnico (IST), University of Lisbon (UL), Portugal. She obtained her PhD in 2008, Industrial Engineering and Management from IST. She is currently IST Deputy Director for Funding and Competitiveness, Vice-President of DEG, Executive Board Member of IST TagusPark Campus, Coordinator of the Lifelong Learning Programme on Engineering and Management @ Técnico+, and Deputy Director of RENE @ KIC InnoENergy. Her research interests are Logistics, Operations Management, and Supply Chain Management applied to topics such as the Retail Industry, Agri-Food Supply Chains, Manufacturing, and Energy Supply Chains, linking to Human-Centred Approaches, Sustainability, and Resilience. She is settling the Logistics Lab at IST TagusPark in coordination with Tânia Ramos, which will focus on research and teaching in Logistics, centred on innovation and R&D development and strong collaboration with industry. She is currently supervising 5 PhD students and 10 MSc students.


Keywords: Logistics | Retail | OR & Management Science

Publicações

Design and planning of resilient closed-loop supply chains

IO 2013 - XVI Congresso da Associação Portuguesa de Investigação Operacional | 2013

Ana Barbosa-Póvoa

Sónia Cardoso

Optimal multi-periodic, multi-product inventory management model

XVI Congresso da Associação Portuguesa de Investigação Operacional | 2013

Ana Barbosa-Póvoa

Joaquim Vicente

Risk management in the design and planning of closed-loop supply chains

23 European Symposium on Computer Aided Process Engineering | 2013

Sonia R. Cardoso

Ana Paula F. D. Barbosa-Povoa

A Kraslawski

I Turunen

Modeling Integrated Biorefinery Supply Chains

23 European Symposium on Computer Aided Process Engineering | 2013

Helena Paulo

Ana Paula F. D. Barbosa-Povoa

A Kraslawski

I Turunen

A Mixed Integer Linear Program decomposition solution to the scheduling activities in a real-world pipeline used to transport heavy oil derivatives

23 European Symposium on Computer Aided Process Engineering | 2013

Joao A. Fabro

Sergio L. Stebel

L. V. R. Arruda

Jr. Neves

Ana Paula F. D. Barbosa-Povoa

A Kraslawski

I Turunen