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 hybrid chaotic-based discrete wavelet transform and Aquila optimisation tuned-artificial neural network approach for wind speed prediction

Results in Engineering | 2022

Yao Ziggah

Maria Rodrigues

Susana Relvas

Scheduling of multi product/multi-pump pipeline distribtion system

2021 1st International Conference On Cyber Management and Engineering, CyMaEn 2021 | 2021

A. Wassila

Sahnounm'hammed Sahnounm'hammed

S. Mehdi

Preface

Springer Proceedings in Mathematics and Statistics | 2021

J.P. Almeida

J.F. Oliveira

A.A. Pinto

Designing and planning the downstream oil supply chain under uncertainty using a fuzzy programming approach

Computers and Chemical Engineering | 2021

C. Lima

In-House Logistics Operations Enhancement in the Automobile Industry Using Simulation

Springer Proceedings in Mathematics and Statistics | 2021

F. Coelho

Research Groups

Projects