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

A holistic MILP model for scheduling and inventory management of a multiproduct oil distribution system

Omega (United Kingdom) | 2021

H. Mostafaei

P.M. Castro

I. Harjunkoski

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

Computers and Operations Research | 2021

William Meira

Leandro Magatão

Flávio Jr.

Lúcia Arruda

Jonas Vaqueiro

A.P. Barbosa-Póvoa

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

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

Towards an Integrated Framework for Aerospace Supply Chain Sustainability

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