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About

About

Américo Azevedo - [PhD], he is head of CESE Centre for Enterprise Systems Engineering and Cientific Director of FABTEC Laboratory of Processes and Technologies for Production Advanced Systems

He is an Associate Professor with Aggregation in the Department of Industrial Engineering and Management at Faculty of Engineering of University of Porto (FEUP). He has gained large experience in the academic, industrial and consultancy environments.

He teaches in the academic programmes of FEUP and PBS (Porto Business School) and in specific programmes such as EDAM (Engineering Design and Advanced Manufacturing) of the MIT-Portugal Program.

His research and teaching focuses on operations management, business processes management and enterprise collaborative networks. He has been active in supervising PhD and M.Sc research thesis on this research areas.

He has been author of many articles in international journals and technical publications and also active in preparing and participating in R&D projects involving industrial companies. He has been reviewer and evaluator of several international R&D Industrial projects and member of several scientific programmes committees.

Responsible for leading more than 45 company based national and international R&D and consulting projects in the domain of enterprise networks and industrial and operations management. He has been responsible in several consulting assignments with industrial companies, with special emphasis in operations and industrial management as well as in designing and developing new facilities, process optimization and development and implementation of decision support and planning tools for order management. Experience in several sectors/industries: machinery, semiconductors, ceramics, furniture, packaging, shoes and cork processing.

 

Interest
Topics
Details

Details

  • Name

    Américo Azevedo
  • Role

    TEC4 Coordinator
  • Since

    01st January 1993
  • Nationality

    Portugal
  • Contacts

    +351222094398
    americo.azevedo@inesctec.pt
022
Publications

2024

A Value-Oriented Framework for Return Evaluation of Industry 4.0 Projects

Authors
Tostes, AD; Azevedo, A;

Publication
Lecture Notes in Mechanical Engineering

Abstract
Organizations can transform their businesses and create more value by adopting Industry 4.0 initiatives. During evaluating these projects, the decision-maker must assess significant uncertainties (risks) resulting from socio-technical, economic, and financial factors. One of the main objectives of this study was to identify the necessary building blocks to develop a framework for project implementation in high-risk scenarios, as in the case of Industry 4.0. A multi-criteria framework divided into three stages was proposed, integrating knowledge from Front-End-Innovation (FEI), Innovation Decision Process (IDP), Traditional Project Evaluation Methods, and Real Options Valuation (ROV). The first step is to identify an investment opportunity. The second step is the definition of a business model. The third step is the simulation of different implementation strategies to give managerial flexibility to decision-makers to decide the best strategy to mitigate risks. A real case study was used to test the framework. According to the results, managers can use this framework to create different project implementation scenarios and determine the best strategy to mitigate risks. However, we must still understand whether uncertainties behave discretely, dynamically, or both, the interactions between elements, and how to calculate them to improve our model. © 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.

2023

Collaborative Planning in Non-Hierarchical Networks-An Intelligent Negotiation-Based Framework

Authors
Bastos, J; Azevedo, A; Avila, P; Mota, A; Costa, L; Castro, H;

Publication
APPLIED SCIENCES-BASEL

Abstract
In today's competing business market, companies are constantly challenged to dynamically adapt to customer expectations by diminishing the time response that goes from the beginning of the business opportunity to the satisfaction of the customer need. Simultaneously, there is increased recognition of the advantages that companies obtain in focusing on their core business and seeking other competencies through partnerships with other partners by forming collaborative networks. These new collaborative organizational structures require a new set of methods and tools to support the management of manufacturing processes across the entire supply chain. The present paper addresses the collaborative production planning problem in networks of non-hierarchical, decentralized, and independent companies. By proposing a collaborative planning intelligent framework composed of a web-based set of methods, tools, and technologies, the present study intends to provide network stakeholders with the necessary means to responsively and efficiently address each one of the market business opportunities. Through this new holistic framework, the managers of the networked companies can address the challenges posed during collaborative network formation and supply chain production planning.

Supervised
thesis

2022

Digital Twin for Manufacturing Equipment in Industry 4.0

Author
Tomás Miguel Antero Moreno

Institution
UP-FEUP

2022

A Value-Oriented Framework for Return Evaluation of Digital Business Transformation in SMEs

Author
Alexander Dutra Tostes

Institution
UP-FEUP

2022

Deep Reinforcement Learning for Production Flow Control

Author
Manuel Tomé de Andrade e Silva

Institution
UP-FEUP

2021

Deep Reinforcement Learning for Production Flow Control

Author
Manuel Tomé de Andrade e Silva

Institution
UP-FEUP

2021

Metodologias para melhoria de processos e crescimento numa empresa de marketing

Author
André Filipe Nogueira Ribeiro

Institution
UP-FEUP