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Sobre
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Sobre

Sou licenciado em Engenharia Elétrica e Informática pela Faculdade Lusíada, Famalicão (1994). Os meus interesses de investigação são o balanceamento, planeamento e desenvolvimento de novos sistemas de produção flexíveis e inovadores.

Desde, maio de 1995, sou investigador sénior no Centro de Engenharia de Sistemas Empresariais do INESC TEC, onde tenho participando ativamente em atividades de investigação e desenvolvimento. Participei em vários projetos de I & D, incluindo: “CEC-made-shoe: Custom, Environment and Comfort made shoe”, “EUROShoE – extended user oriented shoe enterprise“, “CICLOP - Computerised and integrated closing operations”, “FIT4U - Framework of Integrated Technologies for User Centred Products (2 European patents) 

Tópicos
de interesse
Detalhes

Detalhes

072
Publicações

2021

An IIoT Solution for SME’s

Autores
Cunha, B; Hernández, E; Rebelo, R; Sousa, C; Ferreira, F;

Publicação
Lecture Notes in Electrical Engineering

Abstract

2021

Using variable neighbourhood descent and genetic algorithms for sequencing mixed-model assembly systems in the footwear industry

Autores
Sadeghi, P; Rebelo, RD; Ferreira, JS;

Publicação
OPERATIONS RESEARCH PERSPECTIVES

Abstract
This paper addresses a new Mixed-model Assembly Line Sequencing Problem in the Footwear industry. This problem emerges in a large company, which benefits from advanced automated stitching systems. However, these systems need to be managed and optimised. Operators with varied abilities operate machines of various types, placed throughout the stitching lines. In different quantities, the components of the various shoe models, placed in boxes, move along the lines in either direction. The work assumes that the associated balancing problems have already been solved, thus solely concentrating on the sequencing procedures to minimise the makespan. An optimisation model is presented, but it has just been useful to structure the problems and test small instances due to the practical problems’ complexity and dimension. Consequently, two methods were developed, one based on Variable Neighbourhood Descent, named VND-MSeq, and the other based on Genetic Algorithms, referred to as GA-MSeq. Computational results are included, referring to diverse instances and real large-size problems. These results allow for a comparison of the novel methods and to ascertain their effectiveness. We obtained better solutions than those available in the company. © 2021 The Authors

2021

Scheduling of Assembly Systems in the Footwear Industry

Autores
Basto J.; Ferreira J.S.; Rebelo R.D.;

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

Abstract
In the last years, the paradigm of the Portuguese footwear industry has improved drastically to become one of the main world players. In fact, a lot has changed, from low-cost mass production to serving clients consisting of small retail chains, where orders are small and models are varied. In order to deal with such modifications, the footwear industry started investing in technological solutions. The industrial case presented in this paper fits that purpose. The goal is to contribute to the solution of complex scheduling problems arising in the new mixed-model flexible automatic stitching systems of an important footwear factory. The project starts by building an optimization model. Although the model has its own usefulness, the CPLEX program is only capable of reaching optimal solutions for small problem instances. Therefore, a recent metaheuristic, the Imperialist Competitive Algorithm (ICA), has been chosen to tackle larger problems. The ICA is capable of finding optimal results for smaller instances and achieving adequate solutions for real problems in short periods of time. Moreover, ICA improves the results obtained so far by the method currently used in the factory.

2020

Exploring the Linkages Between the Internet of Things and Planning and Control Systems in Industrial Applications

Autores
Soares, R; Marques, A; Gomes, R; Guardão, L; Hernández, E; Rebelo, R;

Publicação
Lecture Notes in Mechanical Engineering

Abstract

2020

Implementing RAMI4.0 in Production - A Multi-case Study

Autores
Hernández, E; Senna, P; Silva, D; Rebelo, R; Barros, AC; Toscano, C;

Publicação
Lecture Notes in Mechanical Engineering

Abstract