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Sobre

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

024
Publicações

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.

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

2019

Design of an assessment industry 4.0 maturity model: An application to manufacturing company

Autores
Azevedo, A; Santiago, SB;

Publicação
Proceedings of the International Conference on Industrial Engineering and Operations Management

Abstract
The context of the fourth industrial revolution brings companies numerous challenges. Agility, flexibility, and responsiveness are necessary characteristics in this business ecosystem, with the deep insertion of digital technologies in manufacturing. Therefore, this work has the objective of developing a model of measurement of the maturity and readiness of the industry 4.0 so that companies can visualize their positioning in this new reality. Qualitative and quantitative methods were used for the development of the model that contemplates 6 (six) dimensions. It was applied in the Industrial Pole of Manaus (PIM), in a multinational manufacturing company. The results obtained are adherent to the reality of the company in relation to the industry 4.0. © 2019, IEOM Society International.

2018

Hybrid modelling of MTO/ETO manufacturing environments for performance assessment

Autores
Barbosa, C; Azevedo, A;

Publicação
International Journal of Production Research

Abstract

2018

Collaborative Transformation Systems - Path to Address the Challenges Around the Competitiveness of Mature Countries

Autores
Azevedo, A;

Publicação
COLLABORATIVE NETWORKS OF COGNITIVE SYSTEMS

Abstract
In mature countries manufacturing is one of the most significant sources of economic development and growth. In those countries, manufacturing transformation systems will be grounded on seamless collaborative environments and will have a high degree of flexibility in production, in terms of product needs (specifications, quality, design), volume, timing, resource efficiency and cost, being able to adapt to customer needs and make use of the entire network chain for value creation. Future transformations systems will be massively collaborative and will be enabled by a network-centric approach, making use of multidimensional data analytics, driven by advanced ICT and the latest available proven manufacturing technologies.

Teses
supervisionadas

2019

Plataforma para análise do efeito da variabilidade em processos operacionais

Autor
Rodrigo Fernandes de Abreu

Instituição
UP-FEUP

2019

Analysis and Improvement of Processes Using Variability Analysis Tools

Autor
Bruno Miguel de Oliveira Ribeiro da Silva

Instituição
UP-FEUP

2019

Tecnologia Blockchain - Potencial de Aplicação no âmbito dos Processos de Negócio das Cadeias de Abastecimento

Autor
Tiago Alves Borrego

Instituição
UP-FEUP

2019

Analysis and Improvement of Account Management Processes

Autor
Maria Miguel Pimenta de Almeida Ferreira

Instituição
UP-FEUP

2019

Order Preparation Processes for an Online Retail Store

Autor
Mariana Coimbra Azeiteiro

Instituição
UP-FEUP