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About

José Barbosa has a PhD in Automation and Computer Science from the University of Valenciennes and Hainaut-Cambrésis (France) and a MSc in Industrial Engineering at IPB. He is a senior researcher at Polytechnic Institute of Bragança, Portugal, participating in several European funded projects, namely in the EU FP7 ARUM, in the EU FP7 GRACE project and in the EU H2020 PERFoRM and GO0DMAN. He is also an invited professor at the Department of Electrical Engineering of the Polytechnic Institute of Bragança. José Barbosa has more than 35 papers published at international journals and proceedings of international conferences. His main research topics focus on the development of self-organizing and evolvable manufacturing control architectures following the holonic and multi-agent system paradigms enriched with biological inspired mechanisms, particularly applied into Cyber-Physical Systems and Internet of Things. He is also a senior member of the IEEE and member of the IEEE Technical Committee on Industrial Agents.

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Publications

2019

Symbiotic Integration of Human Activities

Authors
Fantini, P; Leitao, P; Barbosa, J; Taisch, M;

Publication
IFAC PAPERSONLINE

Abstract
Human integration in cyber-physical systems (CPS) is playing a crucial role in the era of the digital transformation, notably because humans are seen as the most flexible driver in an automated system. Two main reference models for human activities in production systems are usually considered, namely Human-in-the-Loop (HitL) and Human-in-the-Mesh (HitM), which present different requirements and challenges. This paper aims to overview the different activities related to the human integration in CPS, particularly discussing the requirements that can be found in HitL and HitM models for the different phases of the decision-making process, namely detect, determine, develop and describe; and analyzing the technologies and computational tools to support these human activities. The human integration in CPS is illustrated through three examples, where humans playing the operator and manager roles are integrated in the PERFoRM and FAR-EDGE ecosystems, covering different phases of the decision-making process. Copyright

2019

Using Internet of Things Technologies for an Efficient Data Collection in Maintenance 4.0

Authors
Cachada, A; Barbosa, J; Leitao, P; Alves, A; Alves, L; Teixeira, J; Teixeira, C;

Publication
2019 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL CYBER PHYSICAL SYSTEMS (ICPS 2019)

Abstract
The digital transformation in the manufacturing world raised an additional interest in data collection and connectivity, preferably to the one performed in real time. Internet of Things (IoT) and Machine to Machine (M2M) technologies allow the collection of the huge amount of generated data in the shop floor, at the desired rates and without any human intervention. This paper describes the application of IoT technologies to create an automatic data collection solution for an industrial metal stamping unit, supporting its posterior processing, aiming to develop monitoring, prediction and optimization in an industrial intelligent and predictive maintenance system.

2019

Development of Ergonomic User Interfaces for the Human Integration in Cyber-Physical Systems

Authors
Cachada, A; Barbosa, J; Leitao, P; Deusdado, L; Costa, J; Teixeira, J; Teixeira, C; Romero, L; Moreira, PM;

Publication
2019 IEEE 28TH INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE)

Abstract
Digitalization is transforming the worldwide economy. In such digital transformation the human integration in CPS assumes a crucial importance, complemented with some key enabling technologies like IoT, cloud computing, big data and machine learning. In this context, user interfaces are used to collect data and to monitor and control the systems, being required to use design and ergonomics guidelines, as well as user expirience, for their deployment in industrial enviroments. This paper describes the use of friendly and ergonomic user interfaces to support the human integration at operational and strategic level, aligned with the Industry 4.0 context, for an industrial metal stamping unit.

2019

Empowering Humans in a Cyber-Physical Production System: Human-in-the-loop Perspective

Authors
Costa, D; Pires, F; Rodrigues, N; Barbosa, J; Igrejas, G; Leitao, P;

Publication
2019 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL CYBER PHYSICAL SYSTEMS (ICPS 2019)

Abstract
In the Industry 4.0 context, humans are taking up new roles in Cyber-Physical Systems (CPS) since it was realized that they constitute the most flexible part of an automated system. With this new reality, humans are becoming integral parts of CPS, entering in the realm of the Human-in-the-Loop of Cyber-Physical Systems (HiLCPS). In this paper, the challenges and technologies for the integration of humans in CPS environments are briefly discussed, and a practical application of the HiLCPS concept is presented. For this purpose, a human operation workbench is empowered with intelligent decision and assistant systems that use, among others, reasoning algorithms, image processing and speech recognition, to improve the productivity and quality of the tasks performed by humans, particularly focusing the assembly of highly customized products, as well as the training of operators to perform complex assembly, repairing or maintenance tasks.

2019

A Lightweight Dynamic Monitoring of Operational Indicators for a Rapid Strategical Awareness

Authors
Leitao, P; Rodrigues, N; Ferreira, A; Pagani, A; Petrali, P; Barbosa, J;

Publication
2019 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL CYBER PHYSICAL SYSTEMS (ICPS 2019)

Abstract
In the era of the 4th industrial revolution, manufacturing companies are digitally transforming their businesses, processes and factories to address the current market demands. Among several opportunities, the dynamic monitoring of strategical indicators assume a crucial importance for the rapid awareness of the adaptation and optimization of a manufacturing process. In particular, the analysis of the effect that the variation of business factors will provoke in the associated performance indicators will allow to take strategical decisions to mitigate the occurrence of condition changes, as well as to optimize the system operation to face business opportunities. This paper describes the deployment of a KPI (Key Performance Indicators) monitoring tool in an industrial factory producing micro-waves, allowing the fast production reconfiguration facing the continuously and rapidly changing market conditions.