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DM4Manufacturing
About Project
Aligning Manufacturing Decision Making with Advanced Manufacturing Technologies
Acronym
DM4Manufacturing
Responsible
António Paulo Gomes Mendes Moreira
Status
Concluded
Start
January 1, 2016
End
January 31, 2021
Effective End
January 31, 2021
Global Budget
€1,296,560.00
Financing
€986,092.51
Website
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Members
Team Leaders
António Paulo Moreira
António Paulo Gomes Mendes Moreira has a degree in Electrical and Computer Engineering - FEUP (1986), Electronic Instrumentation option, a Master's degree in Electrotechnical and Computer Engineering - Systems Specialisation at FEUP (1991), a PhD in Electrical and Computer Engineering (1998) and an Aggregation - FEUP (2017). He is currently a Full Professor in the Department of Electrical and Computer Engineering at the Faculty of Engineering of the University of Porto. He is also a Researcher and Coordinator of CRIIS - Centre for Industrial Robotics and Intelligent Systems and Head of the iiLab – Industry and Innovation Laboratory at INESC TEC. He carries out research essentially in Robotics, Automation and Control, with an emphasis on its application in industrial projects and technology transfer. He has participated or is still participating in 25 scientific projects, being the coordinator or researcher responsible for 7 of them. The work carried out on these projects has generated 40 projects with companies or development and technology transfer contracts, and he is the lead researcher on 18 of these projects. He also participated in the development of 18 prototypes and 2 patents, of which he is co-owner. He has contributed to the creation of two spin-off companies. More details at: https://www.cienciavitae.pt/portal/EB15-85A7-4A0D
Pedro Amorim
Master of Science and Doctor of Philosophy in Industrial Engineering and Management by FEUP.
Head of the Research Center for Industrial Engineering and Management from INESC TEC Laboratório Associado.
Assistant Professor at the Department of Industrial Engineering and Management at FEUP.
Co Founder of LTPlabs - consultancy company that applies advanced analytical methods to help make better complex decisions.
Specialist in supply chain planning with an emphasis on food products. He was Supply Chain Analyst at Total Raffinage Marketing (França). Researcher/Consultant in several projects related to Operations Management and supported by different types of entities.
Author of several publications in international journals in the field of Operations Research (for example, International Journal of Production Economics, Industrial Engineering and Chemistry Research, Computers and Chemical Engineering, Interfaces) - Google citation profile.
César Toscano
I am a senior researcher with a degree in Electrical Engineering from University of Porto, Portugal (option of Digital and Computer Systems). Since 1996, I am responsible for Research and Technological Development projects in the Centre for Enterprise Systems Engineering (CESE) at INESC TE. Information Systems, Operations Management, Decision Support and Enterprise Collaborative Networks are my main areas of work. In this context, I have participated in national and European projects of applied research in close collaboration with other research institutions, technology centres, companies of the ICT sector and industrial companies from various sectors, among which stand out the textile, clothing and footwear sectors and the automotive industry. The following is a sample of European projects I was engaged with: AC/DC “Automotive Chassis Development for 5-Days-Cars”, eBiz-TCF “Harmonising e-Business processes and data exchanges for SMEs in the textile/clothing and footwear sectors in the Single Market”, STAMINA “Sustainable and reliable robotics for part handling in manufacturing automation”. Besides software-based prototypes, I published several articles in scientific journals, conference proceedings and book chapters.
Associated Centres
Industrial Engineering and Management
The Centre for Industrial Engineering and Management (CEGI) is internationally recognised in the fields of decision science, optimisation, operations management and service engineering. The mission is to support organisations and communities in decision-making by harnessing the power of data to develop robust and sustainable solutions to complex problems. Research at CEGI focuses on real-world challenges like transport planning, supply chain management, healthcare service networks, industrial operations optimisation, disaster response and recovery, and the impact assessment of public policies. By resorting to Artificial Intelligence, data science and mathematical modelling, CEGI aims to understand system behaviours, improve process efficiency, increase organisational resilience, and anticipate the effects of decisions in uncertain contexts. CEGI operates across critical sectors including mobility, healthcare, retail, industry, energy, and services, focusing on digital transition and sustainability. We collaborate with academia, companies, municipal authorities, hospitals, and regulators, transforming scientific knowledge into applied solutions. We believe that evidence-based management is key to tackling the challenges of a constantly changing world.
Robotics in Industry and Intelligent Systems
At the Centre for Robotics and Intelligent Systems, we develop innovative solutions to leverage robotics in the industrial, agricultural, and forestry contexts, driving the digital transformation of the industry. We take a practical approach - from design to deployment - to test the navigation and localisation of mobile robots, explore advances in 2D/3D industrial vision and advanced detection, while also focusing on industrial and collaborative robotics, as well as human-robot interfaces. Our TRIBE LAB is fertile ground for innovative ideas about the agriculture of the future; we develop prototypes and promote excellence in agricultural robotics and IoT technology: with prototypes, advanced sensors (LiDAR, AI cameras), and rapid prototyping tools, we accelerate the development of solutions for the agroforestry sector. We are also present at the iiLab, where we combine applied research, technological demonstration, and controlled environment testing, promoting the integration of emerging technologies into industry. From intelligent robotic cells and cyber-physical systems to data analysis and AI, it is an innovation space where companies can experiment with and validate solutions for the factory of the future. With a multidisciplinary team, and following European agendas, our research work combines fundamental science and application, impacting the design of solutions for Industry 4.0, fostering competitiveness and the digital transformation of the sector.
