Hugo Miguel Ferreira

Hugo Ferreira is a researcher with a PhD in Informatics, in the area of artificial intelligence (automated planning and machine learning), FEUP, 2011. He has been involved in data-mining and machine learning projects in the areas of structural health monitoring (acoustic emissions), on-line recommendation (fashion industry), prediction of industrial energy consumption (ornamental stone cutting machines) and industrial maintenance (detection and prognosis). Other areas of interest include applying machine learning to collaborative processes (decision support systems, social computing, human computing and serious games).

Domains

Enterprise Systems Engineering Artificial Intelligence

Projects

ADIRA_I4.0

To revitalize the industrial sector, it is imperative to invest in R & D, developing new technologies based on knowledge, not overlooking a digital world in strong development. In response to this paradigm of "digitalization" of the industrial sector comes the "Industry 4.0" where manufacturing technologies are combined with the most advanced information and communication technology systems. In this path, there is the obvious need to find innovative, modular and economically viable solutions that enable transforming the capital goods (e.g. machine tools) in Components of Industry 4.0. Moreover, the industry 4.0 presents a very broad conceptual and theoretical framework involving a deep work at the level of its parameterization (e.g. RAMI 4.0) and standards or trends in terms of technological layers (communication protocols, sensing, etc.), however, there are no implementations that may be considered as a reference expecting the market the emergence of application frameworks. The ADIRA INDUSTRY 4.0 will take advantage of this empty references creating a reality applied to the machine tools, metalworking industry and SME, allowing the company to set up innovative products / services. In addition to the innovation in the integration and administration layers of the Components, one of the most disruptive aspects relates to the integration with either new capital goods as with previous generations, or present capital goods but not compatible with Industry 4.0. In fact, the approach through retrofitting modules, involving the mechatronic component and the sensing layer, presents itself as highly promising, since it allows to rapidly expand to the existing equipment or the equipment not compatible with the industry 4.0 concept. This new product / service of high-density technology to be develop and implemented by ADIRA is an innovative solution at world level and capable of generating new strategic markets. Project Datasheet

Desenvolvimento de soluções tecnológicas e de software Industria 4.0 aplicadas a bens de equipamento.

Fasten

Industry 4.0 has now extended its focus to a broader set of technologies rather than just CPS, and to the most vital processes included in the product and production systems lifecycle, rather than just to production. In all the dialects where the Industry 4.0 language is spoken, Industrial Internet of Things, Additive Manufacturing and Robotics from the technology side and Mass Customization, Product-Service Systems and Sustainable Manufacturing from the business side always represent key cornerstones and top priority challenges. FASTEN “mission” is to develop, demonstrate, validate, and disseminate an integrated and modular framework for efficiently producing custom-designed products. More specifically, FASTEN will demonstrate an open and standardized framework to produce and deliver tailored-designed products, capable to run autonomously and deliver fast and low cost additive manufactured products. This will be achieved by effectively pairing digital integrated service/products to additive manufacturing processes, on top of tools for decentralizing decision-making and data interchange. Sophisticated software technologies for self-learning, self-optimizing, and advanced control will be applied to build a full connected additive manufacturing system. ThyssenKrupp and Embraer are two of these companies that must overcome challenges of this nature, in order to cope with an increasing demand diversity, products with shorter life cycles, and the need for supplying low volumes per order, requiring flexible solutions capable to effectively manufacture and deliver personalized products.

Flexible and Autonomous Manufacturing Systems for Custom-Designed Products

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Publications

Supervised and unsupervised techniques in textile quality inspections

Ferreira, HM;Carneiro, DR;Guimaraes, MA;Oliveira, FV;

2024

5TH INTERNATIONAL CONFERENCE ON INDUSTRY 4.0 AND SMART MANUFACTURING, ISM 2023

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

An integrated life cycle for workflow management based on learning and planning

Ferreira, HM;Ferreira, DR;

2006

INTERNATIONAL JOURNAL OF COOPERATIVE INFORMATION SYSTEMS

Learning, planning, and the life cycle of workflow management

Ferreira, DR;Ferreira, HM;

2005

Ninth IEEE International EDOC Enterprise Computing Conference, Proceedings

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Supervised theses

Quantitative Types for Programming Languages

Jorge Miguel Soares Ramos

D - 2022

UP-FCNAUP

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.