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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

032
Publications

2021

Grasp the Challenge of Digital Transition in SMEs—A Training Course Geared towards Decision-Makers

Authors
Azevedo, A; Almeida, AH;

Publication
Education Sciences

Abstract
Small and medium-sized enterprises (SMEs) in Europe risk their competitiveness if they fail to embrace digitalization. Indeed, SMEs are aware of the need to digitalize—more than one in two SMEs are concerned that they may lose competitiveness if they do not adopt new digital technologies. However, a key obstacle is related with decision-makers’ lack of awareness concerning digital technologies potential and implications. Some decision-makers renounce digital transition simply because they do not understand how it can be incorporated into the business. Take into account this common reality, especially among SMEs, this research project intends to identify the skills and subjects that need to be addressed and suggests the educational methodology and implementation strategy capable of maximizing its success. Therefore, and supported by a focused group research methodology, an innovative training program, oriented to decision-makers, was designed and implemented. The program was conceived based on a self-directed learning methodology, combining both asynchronous lecture/expositive and active training methodologies, strongly based on state-of-the-art knowledge and supported by reference cases and real applications. It is intended that the trainees/participants become familiar with a comprehensive set of concepts, principles, methodologies, and tools, capable of significantly enhancing decision-making capability at both strategic and tactical level. The proposed programme with a multidisciplinary scope explores different thematic chapters (self-contained) as well as cross-cutting thematic disciplines, oriented to the Industry 4.0 and digital transformation paradigm. Topics related with Digital Maturity Assessment, Smart Factories and Flexible Production Systems, Big Data, and Artificial Intelligence for Smarter Decision-Making in Industry and Smart Materials and Products, as well as new production processes for new business models. Each thematic chapter in turn is structured around a variable set of elementary modules and includes examples and case studies to illustrate the selected topics. A teaching-learning methodology centered on an online platform is proposed, having as a central element, a collection of videos complemented by a set of handouts that organize the set of key messages and take-ways associated with each module. In this paper, we present the design and practice of this training course specifically oriented to decision-makers in SME.

2021

Process Thinking in Engineering Education

Authors
Azevedo, A;

Publication
2021 IEEE Global Engineering Education Conference (EDUCON)

Abstract

2021

Innovative Learning Scheme to Up-skilling and Re-skilling - Designing a Collaborative Training Program Between Industry and Academia Towards Digital Transformation

Authors
Simoes, AC; Ferreira, F; Almeida, A; Zimmermann, R; Castro, H; Azevedo, A;

Publication
Smart and Sustainable Collaborative Networks 4.0 - 22nd IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2021, Saint-Étienne, France, November 22-24, 2021, Proceedings

Abstract
Small and medium-sized enterprises (SMEs) in Europe are conscious that their competitive position depends on their success to embrace digitalisation challenges. However, some decision-makers in companies discard digital transformation because they do not understand how it can be incorporated into their businesses. Therefore, academia, research centres, and technological clusters are responsible for building the infrastructures and providing the support and the training that will progressively change this mindset. This paper aims to report an experience on designing a training program to train the trainers under the digital transformation topic. To define strategies to understand better the companies (and professionals) needs and motivations and the requisites to deliver the training course, the focus group methodology was applied. In this paper, we present a training program methodology and structure that intend to respond to industrial requests and, in this way to accelerate the digital transformation of companies, especially SMEs. © 2021, IFIP International Federation for Information Processing.

2020

Sustainability as a driver of operational excellence - The relevance of variability in process operations

Authors
Silva, D; Azevedo, A;

Publication
International Journal of Integrated Supply Management

Abstract
Sustainable development is a widely spread concept nowadays, especially due to external pressure related to environmental and social issues, affecting all players of the supply chain. Sustainable policies must be adopted, such as improving process performance and reducing waste. With sustainability as a driver of operational excellence, this study is focused on the improvement of the production process of a company by reducing variability. A variability analysis was done to understand its root causes and act upon them, as well as a quantification of waste in the process. Finally, an improvement plan was delineated to mitigate the problems identified. Copyright © 2020 Inderscience Enterprises Ltd.

2020

Architecture Model for a Holistic and Interoperable Digital Energy Management Platform

Authors
Senna, PP; Almeida, AH; Barros, AC; Bessa, RJ; Azevedo, AL;

Publication
Procedia Manufacturing

Abstract

Supervised
thesis

2021

Service Design of Photovoltaic Solar Energy Storage Systems

Author
Ana Catarina Barros Correia

Institution
UP-FEUP

2021

Analysis and Assessment of Sellers' Operational Performance in an E-Marketplace

Author
André Filipe da Silva Ramos

Institution
UP-FEUP

2021

Resilience in Industry 4.0 Digital Infraestructures and Platforms

Author
Daniel de Sousa Ribeiro

Institution
UP-FEUP

2021

Strengthening a public Hospital’s internal Logistics system through Lean and optimization techniques

Author
Leonor Cid Meneses

Institution
UP-FEUP

2021

Metodologias para melhoria de processos e crescimento numa empresa de marketing

Author
André Filipe Nogueira Ribeiro

Institution
UP-FEUP