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Sobre

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

018
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

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.

2017

Product lifecycle management in knowledge intensive collaborative environments: An application to automotive industry

Autores
Ferreira, F; Faria, J; Azevedo, A; Marques, AL;

Publicação
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT

Abstract
Today, manufacturing is moving towards customer-driven and knowledge-based proactive production. Shorter product life cycles lead to increased complexity in areas such as product and process design, factory deployment and production operations. To handle this complexity, new knowledge-based methods and technologies are needed to model, simulate, optimize and monitor manufacturing systems. Product lifecycle management research tends to focus on situations that are responsive to formal analysis and modelling. However, in several domains such as knowledge intensive collaborative environments, it's not possible to model processes using formal notations. Knowledge based and collaborative process management involves a combination of structured and non-structured processes. Structured processes management can be reduced to a set of fully-defined rules leading to high efficiency but also low flexibility, whereas the management of non-structured processes is not prone to a full formalization. A combination of both structured and unstructured management approaches is required in order to achieve a successful trade-off between efficiency, flexibility and controllability. We call a process as semi-structured when it contains both structured and non-structured sub-processes leading to a flexible and efficient hybrid approach. Large enterprise information systems, impose structured and predictable workflows, while knowledge based collaborative processes are unpredictable to some extent, involving high amount of human-decision. Moreover, large enterprise information systems are not able to manage the daily ad hoc communication inherent to the knowledge-based process itself. This paper introduces a set of concepts, methods and tools of an innovative Hybrid Process Management approach validated by a real world business case in the automotive industry.

Teses
supervisionadas

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

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

2016

Improvement in the process of shipping non-perishable goods

Autor
Sara Filipa Gonçalves Ascenção

Instituição
UP-FEUP