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Américo Azevedo é coordenador do CESE - Centro de Engenharia de Sistemas Empresariais, do INESC TEC e Diretor Científico do FABTEC - Laboratório de Processos e Tecnologias para Sistemas Avançados de Produção.

Especialista em Gestão de Operações e em Organização e Gestão de Processos de Negócio, tem sido responsável por variados projetos empresariais (de consultoria e de I&D) de âmbito nacional e internacional. Professor Associado c/ Agregação da FEUP e docente na Porto Business School, onde também desenvolve projetos de consultoria empresarial. No Programa MIT Portugal, tem tido atividade na área EDAM (Engineering Design and Advanced Manufacturing) no âmbito da Gestão de Operações.

A sua atividade docente, desenvolvida em diversos cursos de mestrado e doutoramento da FEUP e de pós-graduação e de formação executiva na PBS (Porto Business School), está centrada fundamentalmente no domínio da Gestão de Operações, Sistemas Avançados de Produção e da Organização e Gestão de Processos de Negócio. 

Publica com regularidade em revistas científias, sendo autor/co-autor em mais de 180 publicações científicas.

Américo Azevedo é Licenciado em Engenharia Electrotécnia e de Computadores (1988), prestou provas de "Aptidão Pedagógica e Capacidade Científica" (1992), é Doutorado em Operações pela Universidade do Porto (2000) e Agregado pela Universidade do Porto (2017).

Tópicos
de interesse
Detalhes

Detalhes

027
Publicações

2021

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

Autores
Azevedo, A; Almeida, AH;

Publicação
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.

2020

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

Autores
Silva, D; Azevedo, A;

Publicação
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

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

Publicação
Procedia Manufacturing

Abstract

2020

COVID- 19: outcomes for Global Supply Chains

Autores
Fonseca, LM; Azevedo, AL;

Publicação
MANAGEMENT & MARKETING-CHALLENGES FOR THE KNOWLEDGE SOCIETY

Abstract
The COVID-19 crisis exposed the vulnerability and poor resilience of the global supply chains. The objective of this research is to reflect on the possible impacts of the Coronavirus crisis in the global supply chains and provide some recommendations to overcome the present situation, offering suggestions for future research: (1) What are the contingency factors affecting Supply Chains in the complex COVID-19 operating environment? (2) How do these factors affect post-COVID-19 operating performance? After a contextualization of the COVID-19 pandemic crisis and its impacts, theoretical background on Supply Chains and Supply Chain Management are presented, and a summary of the main scenarios for the post-COVID-19 crisis are discussed. The propositions regarding the contingency factors and their impact on the Supply Chain operating performance in post-COVID-19 suggest that successful companies will focus on creating a new kind of operational performance and minimize risks. To that end, companies will aim to improve their operations' resilience (ability to resist, hold on, and recover from shocks) and accelerate the end-to-end digital transformation. Consumers will have to adapt to the contact-free economy, less low-cost supply chains, and put additional emphasis on service levels. Governments will reinforce the focus in the health sector supply chain and increase spending in the health and social care sectors. Furthermore, the longer, the more concentrated, the less transparent, and the more price sensitivity is the supply chain, the more challenging the adaptation to the new pos pandemic realities. Suggestions for future research are also provided.

2019

Assessing the impact of performance determinants in complex MTO/ETO supply chains through an extended hybrid modelling approach

Autores
Barbosa, C; Azevedo, A;

Publicação
International Journal of Production Research

Abstract

Teses
supervisionadas

2020

Management of new products on the retail market

Autor
Sara Luísa Marques Freitas Lemos

Instituição
UP-FEUP

2020

Mapping and Improving the Customer Support Team's Performance in an E-commerce Platform

Autor
Paulo Miguel da Silva Alves

Instituição
UP-FEUP

2020

Deep Reinforcement Learning for Production Flow Control

Autor
Manuel Tomé de Andrade e Silva

Instituição
UP-FEUP

2020

Hybrid Machine Learning/Simulation Approaches for Logistic Systems Optimization

Autor
Francisco Alexandre Lourenço Maia

Instituição
UP-FEUP

2020

Previsão de Vendas para o Setor do Retalho Aplicando Máquinas de Vetores de Suporte

Autor
Fernando António Castro da Silva

Instituição
UP-FEUP