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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

023
Publicações

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.

2018

Towards a hybrid multi-dimensional simulation approach for performance assessment of MTO and ETO manufacturing environments

Autores
Barbosa, C; Azevedo, A;

Publicação
28TH INTERNATIONAL CONFERENCE ON FLEXIBLE AUTOMATION AND INTELLIGENT MANUFACTURING (FAIM2018): GLOBAL INTEGRATION OF INTELLIGENT MANUFACTURING AND SMART INDUSTRY FOR GOOD OF HUMANITY

Abstract
Despite the growing relevance of customization as a source of competitive advantage, the make-to-order (MTO)/engineer-to-order (ETO) manufacturing strategies have been neglected in the literature. Companies following these strategies deal with simultaneous customer-oriented projects that compete for and share resources, while coordinating interdependent engineering and production activities. It becomes relevant understanding the impact that different development projects and production variables have on the manufacturing system performance. For this, we propose a hybrid multi-dimensional simulation model, using System Dynamics (SD), Discrete Event Simulation (DES) and Agent-based simulation (ABS) for MTO/ETO performance assessment. (C) 2018 The Authors. Published by Elsevier B.V.

Teses
supervisionadas

2017

Methodology to improve processes in fashion e-tail business: design and implementation

Autor
Magda da Silva Ferreira

Instituição
UP-FEUP

2017

Reducing the Confirmation Time of the Expedition Date

Autor
Miguel Araújo Teixeira Formigal

Instituição
UP-FEUP

2017

Previsão com agregação temporal univariada e multivariada: um caso de estudo no setor do retalho

Autor
Ana Daniela Barbosa Rodrigues de Oliveira

Instituição
UP-FEUP

2017

Análise de Variabilidade num Processo Industrial de Produção de Bolachas

Autor
Ana Fátima Maia Carneiro

Instituição
UP-FEUP

2016

Levantamento e mapeamento de processos numa empresa de consultoria

Autor
Ana Patrícia Rodrigues Moreira Santos Mota

Instituição
UP-FEUP