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About

About

António Almeida, 33, started his training in the Integrated Master in Electrical Engineering and Computers, in the Automation and Control branch, in the Faculty of Engineering of the University of Porto (FEUP), having integrated the associated research laboratory of this faculty (INESC Porto) in 2010 under the doctoral program started in the meantime.

In his activity as a researcher and student of the PhD program in Industrial Engineering and Management, António dedicated his efforts to the study of new methods of performance management in complex industrial environments, having published more than a dozen papers in international journals with scientific arbitration and in national and international conferences. He actively participated in several national and European projects.


Between February 2015 and August 2016, António Almeida worked as Business Partner Analyst and Product Owner at SONAE, more specifically at BIT, for the Continente Online E-Commerce platform. During this time, he developed his skills in the retail area, more specifically in the logistics, procurement and digital marketing components. As Product Owner, António Almeida was an active element in the adoption and implementation of agile methodologies at SONAE. As of August 2016, António held the position of Principal Product Owner at Farfetch in the Supply Chain and Order Management areas. During this phase, António was responsible for managing the roadmap of agile development teams, with the main objective of providing Farfetch with an innovative supply chain management platform on a global scale, capable of adapting to the different logistics requirements imposed by boutiques and Brands, partners of this e-commerce platform.


António Almeida is currently Business Development Manager at INESC TEC, sharing coordination responsibility for TEC4INDUSTRY. The main goal of this unit is to promote consulting services and knowledge transfer services and digital technologies to industry, in order to promote digital transformation in Industry.

Details

Details

  • Name

    António Henrique Almeida
  • Role

    Business Developer
  • Since

    10th February 2010
016
Publications

2024

Semantic Asset Administration Shell Towards a Cognitive Digital Twin

Authors
Moreno, T; Sobral, T; Almeida, A; Soares, AL; Azevedo, A;

Publication
Lecture Notes in Mechanical Engineering

Abstract
Manufacturing industry is experiencing another revolution towards the digitalization of industrial processes. Different value chain actors must share specific and sensitive data according to business and data requirements. Digital architectures must ensure seamless and comprehensive communications between actors according to agreed-upon vocabularies. The digital representation of machines and other types of equipment, including crucial information about their static and dynamic operational data, is made possible by the ontological modelling of Asset Administration Shells (AAS), which is proposed in this paper as modular and semantically interoperable resources. These Cognitive Digital Twins are herein defined with de facto domain ontologies that model the semantics of the current operation, status and configurations of assets. This paper reports a proof-of-concept technical implementation that demonstrates an innovative digital architecture that connects and communicates active and modular Digital Twin of a machine in a bi-directional, connecting this asset to a digital manufacturing service provider. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

2024

Application of Augmented Reality to Support Manufacturing Resilience

Authors
Ramalho, FR; Moreno, T; Soares, AL; Almeida, AH; Oliveira, M;

Publication
Lecture Notes in Mechanical Engineering

Abstract
European industrial value chains and manufacturing companies have recently faced critical challenges imposed by disruptive events related to the pandemic and associated social/political problems. Many European manufacturing industries have already recognized the importance of digitalization to increase manufacturing systems’ autonomy and, consequently, become more resilient to adapt to new contexts and environments. Augmented reality (AR) is one of the emerging technologies associated with the European Industry 5.0 initiative, responsible for increasing human-machine interactions, promoting resilience through decision-making, and flexibility to deal with variability and unexpected events. However, the application and benefits of AR in increasing manufacturing resilience are still poorly perceived by academia and by European Manufacturing companies. Thus, the purpose of this paper is to contribute to the state of the art by relating the application of AR with current industrial processes towards manufacturing systems resilience. In order to cope with this objective, the industrial resilience and augmented human worker concepts are first presented. Then, through an exploratory study involving different manufacturing companies, a list of relevant disruptive events is compiled, as well as a proposal with specific ideas and functionalities on how AR can be applied to address them. In conclusion, this research work highlights the importance of AR in coping mainly with disruptive events related to Human Workforce Management and Market/Sales Management. The AR application ideas shared a common thread of availability and delivery of information to the worker at the right time, place, and format, acting on the standardization and flexibility of the work to support manufacturing resilience. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

2023

Scalable Digital Twins for industry 4.0 digital services: a dataspaces approach

Authors
Moreno, T; Almeida, A; Toscano, C; Ferreira, F; Azevedo, A;

Publication
PRODUCTION AND MANUFACTURING RESEARCH-AN OPEN ACCESS JOURNAL

Abstract
The manufacturing industry faces a new revolution, grounded on the intense digitalization of assets and industrial processes and the increasing computation capabilities imposed by the new data-driven digital architectures. This reality has been promoting the Digital Twin concept and its importance in the industrial companies' business models. However, with these new opportunities, also new threads may rise, mainly related to industrial data protection and sovereignty. Therefore, this research paper will demonstrate the International Data Spaces reference model's application to overcome these limitations. Following a pilot study with a Portuguese machine producer/maintainer enterprise, this paper will demonstrate the development of a cutting and bending machine Digital Twin, leveraged on an International Data Spaces infrastructure for interoperability, for the plastic and metal industry and its importance to introduce this machine manufacturing company in a new business-to-business marketplace from the EU project Market 4.0.

2023

A Digital Twin Platform-Based Approach to Product Lifecycle Management: Towards a Transformer 4.0

Authors
Silva H.; Moreno T.; Almeida A.; Soares A.L.; Azevedo A.;

Publication
Lecture Notes in Mechanical Engineering

Abstract
Recently, we have been observing a significant evolution in products, machines, and manufacturing processes, towards a more digital and interoperable reality. In this sense, the power transformers sector has also been evolving to develop smart transformers for the future, capable of providing the digital capabilities to leverage new services and features that follow its entire life cycle, from the design and manufacturing to the use and dismantling/recycling. In this sense, this paper aims to present and demonstrate how an innovative digital twin platform can be used in a secure and trustable way for the enhancement of the power transformers’ performance and potential lifespan, enabling, at the same time, the promotion of new business models. A real use case is also presented to demonstrate the applicability of Asset Administration Shells (AAS) for power transformer life cycle management, as well as the use of the International Data Spaces (IDS) for the secure and trustable horizontal interoperability along with the different actors of the value chain, from the manufacturers to the power network and maintenance services companies.

2023

Digital Twin in complex operations environments: potential applications and research challenges

Authors
Ghanbarifard, R; Almeida, AH; Azevedo, A;

Publication
Proceedings - 2023 3rd Asia Conference on Information Engineering, ACIE 2023

Abstract
This paper aims to thoroughly discuss the use of Digital Twin technology in complex operations environments, highlighting its potential applications and the research challenges that need to be addressed. This is necessitated by the fact that currently there is no comprehensive literature review and framework for implementing Digital Twin technology in complex operations environments. Furthermore, existing interpretations of DT implementation are inadequately detailed and not very informative in this area. This may be a consequence of the difficulties of collecting and extracting useful information from data in real-time. Another drawback worth mentioning is that Digital twins at the moment center on an individual or isolated part instead of integrating the whole system and no current work talks about this holistic approach. This paper will focus on Digital Twins in complex operations environments and their applications. A review of scientific literature on the use of Digital Twins in complex operations environments is performed and the articles are categorized by the problems and challenges that they address requiring DT as a solution. A selection of papers that focus on this topic and represent the current situation of research will be emphasized. In conclusion, this work will be utilized as a baseline study to propose a Digital Twin reference framework, which eventually leads to implementing and evaluating a comprehensive Digital Twin methodology in complex systems. © 2023 IEEE.

Supervised
thesis

2022

Desenvolvimento de uma plataforma IoT para a gestão eficiente do consumo de água

Author
RUI PEDRO MARQUES NUNES

Institution
IPP-ISEP

2021

Novos processos de gestão logística na indústria de equipamentos eletrónicos

Author
Luís Simões Neves

Institution
UP-FEUP

2018

Bio-Measurements Estimation and Support in Knee Recovery through Machine Learning

Author
João Miguel Neves Bernardino

Institution
UP-FEUP

2018

IM2HoT: Interactive Machine-Learning to improve the House of Things

Author
João Pedro Milano da Silva Cardoso

Institution
UP-FEUP

2016

Avaliação rápida de sobrecargas pós-contingência em ramos de sistemas elétricos interligados

Author
Ricardo Jorge de Lima Capão

Institution
UP-FEUP