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Sobre
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Sobre

Sou licenciado em Engenharia Eletrotécnica - Universidade do Porto (1978), mestre em Investigação Operacional e Engenharia de Sistemas - Universidade Técnica de Lisboa (1989) e doutor em Ciências da Engenharia - Universidade do Porto (1996).
Comecei minha carreira profissional na indústria como engenheiro de manutenção, em 1978. Ao longo de 6 anos, fui também engenheiro de projetos em duas empresas.
Desde 1987, trabalhei como Consultor e Líder de vários projetos industriais no INEGI, um instituto de interface de I&D da UP.
Fui coordenador da Unidade de Engenharia e Gestão Industrial da FEUP (1997-98 e 2003-05), onde atualmente sou Professor Associado.
Fui membro do Conselho de Administração da STCP, a Companhia de Transportes Públicos do Porto (1998-2002 e 2006-2012).
Mantenho uma atividade de investigação regular desde 1991. Sou investigador sénior, atualmente membro da CEGI, unidade de engenharia industrial e gestão do INESC TEC. Os meus principais tópicos de interesse são os sistemas de transporte, sistemas de apoio à decisão e aplicações de investigação operacional. Atualmente, sou membro do Conselho Editorial da "Transportation Research Procedia".

Tópicos
de interesse
Detalhes

Detalhes

001
Publicações

2018

Linking fields with GMA: Sustainability, companies, people and Operational Research

Autores
Teles, MD; de Sousa, JF;

Publicação
Technological Forecasting and Social Change

Abstract
This article is about making decisions concerning the management of sustainability, decisions that may influence the use or protection of natural resources or address difficult societal choices. Managers have more and more to tackle a diversity of problems in a rigorous and transparent way. One of the distinctive features of these decisions is that managers must give attention to both the values of people affected and factual information concerning the potential consequences of actions. This imposes the adoption of new methods for structuring spaces, strategy alternatives, and organizational planning. The support from operational research analysts becomes increasingly important, as we are dealing with people mostly without strong quantitative or model-building backgrounds. With the presence of different perspectives and mental models, behavior elements are at the core of the problem and unintentional biases in model use may occur. Our intention is to help promote the transference of knowledge to and within companies so that they may assure resilience. We found in general morphological analysis a great help for that. We want to make available a meta-model based on Operational Research for fields involving public resources and multiple interests to aid current and future managers of companies. We conclude the article with two case studies to illustrate our approach. © 2017 Elsevier Inc.

2017

A Multi-User Integrated Platform for Supporting the Design and Management of Urban Mobility Systems

Autores
Fontes, T; Correia, J; De Sousa, JP; De Sousa, JF; Galvão, T;

Publicação
Transportation Research Procedia

Abstract
Public transport networks were, in the past, mainly designed to maximize the efficiency of commuting trips. However, with such perspective there are considerable risks to marginalize some specific population groups (e.g. disabled, elderly, children, pregnant, people in poverty). For enhancing social inclusion and improving the accessibility of more vulnerable citizens, such networks are often redesigned and adjusted. Nevertheless, even with such adjustments, it is sometimes difficult to provide efficient services that fully address the real needs and capabilities of travelers, partially because of the failure in following the fast technological and demanding changes of modern societies. Taking in mind these challenges, we have developed a conceptual model to support knowledge sharing and decision-making in urban mobility, and to improve the way travel information is addressed. The multi-user integrated platform proposed in this work is supported by the idea that information from different channels must be centralized, organized, managed and properly distributed. This idea is grounded in two main principles: (i) past and real-time information from a wide range of sources is combined for knowledge extraction, and such knowledge is going to be used not only to allow travelers to better plan their trips, but also to help transport providers to develop services adapted to the needs and preferences of their customers; and (ii) information is provided in a personalized way taking into account socio-economical differences between groups of travelers. © 2017 The Authors. Published by Elsevier B.V.

2017

A General Morphological Analysis to Support Strategic Management Decisions in Public Transport Companies

Autores
De Fátima Teles, M; De Sousa, JF;

Publicação
Transportation Research Procedia

Abstract
This paper presents a General Morphological Analysis (GMA) meta-model aiming to help decision-makers wishing to integrate sustainability concerns into the company strategy. This is made by joining Operational Research (OR) analysts, decision-makers and stakeholders as participants in the problem structuring and formulation process. This is particularly relevant in societal issues, where public transport companies are particularly important. Indeed, public transport companies play a quite visible role in the dimensions of corporate social responsibility, namely because of four reasons: (i) they provide daily services crucial to mass customers' mobility; (ii) their investments are usually of high value and rather sensitive to technological development; (iii) they play a crucial role in the energy sector and (iv) are strongly dependent upon macro-policies. © 2017 The Authors. Published by Elsevier B.V.

2016

An online learning approach to eliminate Bus Bunching in real-time

Autores
Moreira Matias, L; Cats, O; Gama, J; Mendes Moreira, J; de Sousa, JF;

Publicação
APPLIED SOFT COMPUTING

Abstract
Recent advances in telecommunications created new opportunities for monitoring public transport operations in real-time. This paper presents an automatic control framework to mitigate the Bus Bunching phenomenon in real-time. The framework depicts a powerful combination of distinct Machine Learning principles and methods to extract valuable information from raw location-based data. State-of-the-art tools and methodologies such as Regression Analysis, Probabilistic Reasoning and Perceptron's learning with Stochastic Gradient Descent constitute building blocks of this predictive methodology. The prediction's output is then used to select and deploy a corrective action to automatically prevent Bus Bunching. The performance of the proposed method is evaluated using data collected from 18 bus routes in Porto, Portugal over a period of one year. Simulation results demonstrate that the proposed method can potentially reduce bunching by 68% and decrease average passenger waiting times by 4.5%, without prolonging in-vehicle times. The proposed system could be embedded in a decision support system to improve control room operations. (C) 2016 Published by Elsevier B.V.

2016

An Operations Research-Based Morphological Analysis to Support Environmental Management Decision-Making

Autores
Teles, MD; de Sousa, JF;

Publicação
DECISION SUPPORT SYSTEMS VI - ADDRESSING SUSTAINABILITY AND SOCIETAL CHALLENGES

Abstract
In this paper the authors present a meta-model aiming to support decision-makers that wish to know more about how to use systems models to cope with the integration of environmental concerns into the company strategy. This is made by using a General Morphological Analysis (GMA) to bridge the gap between Operations Research (OR) analysts, decision-makers and stake-holders, making all of them part of the problem structuring and formulation process, particularly in societal issues like the environmental ones. The novelty of this approach is two-fold: (i) there are no examples in literature of a GMA research that address a linkage between environmental practices, strategic objectives, and the integration of stakeholders in the decision-making process at the level of a company; (ii) there is no GMA that had covered all the phases of a decision-making problem (problem definition, problem analysis and problem solving) in such a context.

Teses
supervisionadas

2019

Aplicação de Metodologias Kaizen & TPM na Indústria de Transformação de Metal

Autor
Duarte da Costa Lima Calvão

Instituição
UP-FEUP

2019

The Impact of a Better Logistics on POP Marketing Material

Autor
Filipe Manuel de Pinho Brandão

Instituição
UP-FEUP

2019

Transport Planning in the Glass Industry

Autor
Joana Pinto de Sousa Von Hafe Pérez

Instituição
UP-FEUP

2019

Melhoria de Eficiência de uma Equipa de Instalação de Equipamentos

Autor
Juliana de Sousa Coelho

Instituição
UP-FEUP

2019

A decision support system for designing urban multimodal mobility and accessibility policies in a socio-technical transition context

Autor
Sérgio Pedro de Matos Duarte

Instituição
UP-FEUP