Susana Isabel Carvalho Relvas

Associate Professor

Instituto Superior Técnico

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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 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.

Publications

A solution framework for the long-term scheduling and inventory management of straight pipeline systems with multiple-sources

Computers & Operations Research | 2021

William Meira

Leandro Magatão

Flávio Jr.

Lúcia Arruda

Jonas Vaqueiro

Building disaster preparedness and response capacity in humanitarian supply chains using the Social Vulnerability Index

European Journal of Operational Research | 2020

D. Alem

H.F. Bonilla-Londono

D. Ferreira

A. Moreno

Scheduling of a single-source multiproduct pipeline system by a matheuristic approach: Combining simulated annealing and MILP

Computers and Chemical Engineering | 2020

W.H.T. Meira

L. Magatão

F. Neves-Jr

L.V.R. Arruda

J.P. Vaqueiro

Supply chain management under product demand and lead time uncertainty

International Journal of Operational Research | 2020

J.J. Vicente

Using Machine Learning for Enhancing the Understanding of Bullwhip Effect in the Oil and Gas Industry

Machine Learning and Knowledge Extraction | 2019

T.P. Ribeiro

S. Relvas

Research Groups

Projects

Contacts

CEGIST - Centro de Estudos de Gestão
Instituto Superior Técnico

Av. Rovisco Pais, 1049 - 001 Lisboa
Tel: +351 21 841 77 29 (ext. 1729)
Fax: +351 21 841 79 79
E-mail: cegist@tecnico.ulisboa.pt

Sponsored by

FCT

Host Institution

IST Lisboa