Romão Filipe Santos

I am a researcher who is the Engineering Manager of the Operations Management and Decision Support team at the Centre of Enterprise Systems Engineering of INESC TEC. I have programming skills and Industrial Management experience, especially in simulation and optimisation methods to support decision-making, focusing on manufacturing and internal logistics. I hold a master’s degree in Electrical and Computer Engineering (Automation branch and specialisation in Industrial Management) from the Faculty of Engineering of the University of Porto (FEUP). I participated in a wide range of projects, including stock management, line balancing, production planning, and the definition of factory layouts. Experience in several industries (footwear, furniture, metal packaging, among others). My main areas of interest are Operations Management, Decision Support Systems and Machine Learning, with a particular interest in Reinforcement Learning.

Domains

Enterprise Systems Engineering Artificial Intelligence Systems Engineering and Management

Projects

T4CDTKC

This project aims to outline an innovative training program oriented to the development of skills around the themes inherent to the i4.0 industry. Within this scope, the structure of the programme is defined, the production of the thematic contents to be explored based on the pedagogical methodology adopted. A teaching-learning methodology centred on an online platform is explored, having as central element a collection of videos complemented by a set of 'handouts' that organise the set of key messages and 'take-ways' associated to each module.

BSLINESIM

Simulation and optimization of a robotic welding and painting line for accessories for earthmoving and cargo handling machines

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Publications

Deep Reinforcement Learning-Based Approach to Dynamically Balance Multi-manned Assembly Lines

Santos, R;Marques, C;Toscano, C;Ferreira, M;Ribeiro, J;

2024

Lecture Notes in Mechanical Engineering

Mitigating Biomass Supply Chain Uncertainty Through Discrete Event Simulation

Piqueiro, H;de Sousa, JP;Santos, R;Gomes, R;

2022

Proceedings of the International Conference on Industrial Engineering and Operations Management

Managing Disruptions in a Biomass Supply Chain: A Decision Support System Based on Simulation/Optimisation

Piqueiro, H;Gomes, R;Santos, R;de Sousa, JP;

2023

SUSTAINABILITY

Industrial IoT integrated with simulation -A digital twin approach to support real-time decision making

Santos, R;Basto, J;Alcalá, SGS;Frazzon, E;Azevedo, A;

2019

Proceedings of the International Conference on Industrial Engineering and Operations Management

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Centres

Enterprise Systems Engineering

The research carried out at the Centre for Enterprise Systems Engineering (CESE) has a direct impact on industrial transformation, developing sustainable, resilient, and human-centred solutions to address the challenges of the digital and green transitions. Through a co-creation and development approach with scientific and industrial partners, CESE contributes to improve organisational capabilities and driving systemic innovation in complex industrial contexts. As a multidisciplinary research centre, CESE bridges science and practice in the field of Systems Engineering, focusing on value creation within industrial ecosystems. This mission is structured around five research lines that define CESE scientific and technological expertise: Manufacturing Systems Design and Management, Supply Chain and Collaborative Networks Management, Architectures and Industrial Information Systems, Technology Management in Industry, Transportation and Logistics.