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Miguel Vieira obtained in 2017 his PhD in Leaders for Technical Industries (Engineering Design and Advanced Manufacturing focus area) by the Instituto Superior Técnico in partnership with the Massachusetts Institute of Technology under the MIT Portugal Program. Currently he is an Assistant Professor at the Faculty of Engineering at Lusófona University, Lisbon and Researcher at RCM2+. His main topics of research expertise have been centered in the industrial engineering challenges of applied optimization methods and simulation models to solve supply chain, design, production planning and scheduling problems of complex manufacturing systems. In particular, the main research is focused at developing mathematical programming models (LP, IP, MILP and MINLP), decomposition methods and non-exact approaches to provide optimal solutions to industrial cases, considering both deterministic and stochastic scenarios, with several first-author publications. Current research projects include the risk assessment of process design and planning, dynamic scheduling strategies for decisional tools in the context of Industry 4.0 paradigm and methods for improving solutions of real-world industrial optimization problems. Particular relevance has been given to the efficient use of novel automation technologies in industrial processes, with the development of machine learning algorithms based in deep and reinforcement learning for novel interfaces for human-robot interaction/cooperation in industrial processes and its integration on the decision-support operations to increase flexibility and productivity of production systems. Miguel Vieira is a Visiting Researcher in Instituto Superior Técnico Centro de Estudos de Gestão and Visiting Researcher in Universidade de Coimbra Centro de Engenharia Mecânica Materiais e Processos. Published 8 articles in journals. Has 11 section(s) of books. Organized 7 event(s). Participated in 2 event(s). Supervised 3 MSc dissertation(s). Has received 6 awards and/or honors. Participates and/or participated as Other in 2 project(s), Post-doc Fellow in 1 project(s) and Researcher in 3 project(s). Works in the area(s) of Social Sciences with emphasis on Economics and Business with emphasis on Industrial Relations, Exact Sciences with emphasis on Computer and Information Sciences, Engineering and Technology with emphasis on Other Engineering and Technologies and Engineering and Technology with emphasis on Chemical Engineering. In their professional activities interacted with 53 collaborator(s) co-authorship of scientific papers. In his curriculum Ciência Vitae the most frequent terms in the context of scientific, technological and artistic-cultural output are: Multipurpose batch plants; Risk assessment; Conditional value-at-risk; Stochastic programming; Augmented e-constraint method; Programação matemática; Otimização; Gestão de Operações e de Cadeias de Abastecimento; Análise de Decisão e de Risco; Avaliação Ambiental e da Sustentabilidade; Empreendedorismo e Inovação; Conditional Value at Risk (CVaR); Effective risk metric; Stochastic parameters; .
Identificação

Identificação pessoal

Nome completo
Miguel Jorge Vieira

Nomes de citação

  • Vieira, Miguel

Identificadores de autor

Ciência ID
231E-B072-18CC
ORCID iD
0000-0001-6702-5876
Google Scholar ID
https://scholar.google.pt/citations?user=wHD6c7EAAAAJ
Researcher Id
M-2103-2013

Endereços de correio eletrónico

  • miguel.vieira@ulusofona.pt (Profissional)

Moradas

  • Universidade Lusófona, Campo Grande, 376, 1749-024, Lisboa, Lisboa, Portugal (Profissional)

Domínios de atuação

  • Ciências Sociais - Economia e Gestão - Relações industriais
  • Ciências Exatas - Ciências da Computação e da Informação
  • Ciências da Engenharia e Tecnologias - Outras Ciências da Engenharia e Tecnologias
  • Ciências da Engenharia e Tecnologias - Engenharia Química
Formação
Grau Classificação
2017/10/20
Concluído
Líderes para as Indústrias Tecnológicas (Doutoramento)
Especialização em Sem especialidade
Universidade de Lisboa Instituto Superior Técnico, Portugal

Massachusetts Institute of Technology MIT Portugal Program, Portugal
"Towards the Development of a Decision-support Tool for the Production Planning and Campaign Scheduling of Biopharmaceutical Facilities" (TESE/DISSERTAÇÃO)
Aprovado com distinção (magna cum laude).
2011
Concluído
Technology Management Enterprise (Especialização pós-licenciatura)
Universidade de Lisboa Instituto Superior Técnico, Portugal

Massachusetts Institute of Technology MIT Portugal Program, Portugal
15
2008
Concluído
Engenharia Química (Mestrado integrado)
Universidade de Lisboa Instituto Superior Técnico, Portugal
"Development of the process information management system to improve monitoring of a dimethylterephthalate process" (TESE/DISSERTAÇÃO)
15
Percurso profissional

Ciência

Categoria Profissional
Instituição de acolhimento
Empregador
2024/01/01 - Atual Investigador (Investigação) Universidade Lusófona de Humanidades e Tecnologias, Portugal
RCM2+ Centro de Investigação em Gestão de Ativos e Engenharia de Sistemas, Portugal
2019 - Atual Investigador visitante (Investigação) Universidade de Coimbra Centro de Engenharia Mecânica Materiais e Processos, Portugal
2011/09 - Atual Investigador visitante (Investigação) Instituto Superior Técnico Centro de Estudos de Gestão, Portugal
2019 - 2021 Investigador Auxiliar (carreira) (Investigação) Universidade de Coimbra Centro de Engenharia Mecânica Materiais e Processos, Portugal
2017 - 2019 Pós-doutorado (Investigação) Instituto Superior Técnico Centro de Estudos de Gestão, Portugal
2017 - 2017 Investigador visitante (Investigação) University College London Department of Chemical Engineering, Reino Unido
2011 - 2017 Investigador Contratado (Investigação) Massachusetts Institute of Technology MIT Portugal Program, Portugal

Docência no Ensino Superior

Categoria Profissional
Instituição de acolhimento
Empregador
2021 - Atual Professor Auxiliar (Docente Universitário) Universidade Lusófona de Humanidades e Tecnologias, Portugal
2019 - 2020 Professor Visitante (Docente Ensino Superior Politécnico) Instituto Politécnico de Leiria Escola Superior de Tecnologia e Gestão, Portugal

Outros

Categoria Profissional
Instituição de acolhimento
Empregador
2008 - 2010 Process Engineer Tintas Robbialac S.A., Portugal
2008 - 2008 Production and Process Engineering Trainee Oxxynova GmbH, Alemanha
Degussa-Hüls AG, Alemanha
Projetos

Projeto

Designação Financiadores
2021 - Atual FuturePharma
PTDC/EME-SIS/6019/2020
Investigador
Universidade de Coimbra Centro de Engenharia Mecânica Materiais e Processos, Portugal
2020 - 2023 Penelope
H2020 Grant agreement ID: 958303
Investigador
Universidade de Coimbra Centro de Engenharia Mecânica Materiais e Processos, Portugal
2019 - 2021 Cobotis
Investigador
Universidade de Coimbra Centro de Engenharia Mecânica Materiais e Processos, Portugal
2017 - 2021 DM4Manufacturing
Bolseiro de Pós-Doutoramento
Instituto Superior Técnico Centro de Estudos de Gestão, Portugal
Em curso
Produções

Publicações

Artigo em conferência
  1. Vieira, M.; Barbosa-Póvoa, A.P.; Moniz, S.; Pinto-Varela, T.. "Simulation-optimization approach for the decision-support on the planning and scheduling of automated assembly lines". 2018.
    10.1109/CONTROLO.2018.8514297
  2. Vieira, Miguel; Pinto-Varela, Tânia; Barbosa-Póvoa, Ana Paula. "A multi-objective approach on the optimal production and maintenance planning of biopharmaceutical processes under performance decay using a continuous-time formulation". Trabalho apresentado em Foundations of Computer Aided Process Operations / Chemical Process Control, Tucson, Arizona, 2017.
Artigo em revista
  1. Pedro Simão; Miguel Vieira; Telmo Pinto; Tânia Pinto-Varela. "Design and Operation of Multipurpose Production Facilities Using Solar Energy Sources for Heat Integration Sustainable Strategies". Mathematics 10 11 (2022): 1941-1941. http://dx.doi.org/10.3390/math10111941.
    10.3390/math10111941
  2. Miguel Vieira; Samuel Moniz; Bruno S. Gonçalves; Tânia Pinto-Varela; Ana Paula Barbosa-Póvoa; Pedro Neto. "A two-level optimisation-simulation method for production planning and scheduling: the industrial case of a human–robot collaborative assembly line". International Journal of Production Research (2022): 1-21. https://doi.org/10.1080/00207543.2021.1906461.
    10.1080/00207543.2021.1906461
  3. Miguel Neves; Miguel Vieira; Pedro Neto. "A study on a Q-Learning algorithm application to a manufacturing assembly problem". Journal of Manufacturing Systems 59 (2021): 426-440. https://doi.org/10.1016/j.jmsy.2021.02.014.
    10.1016/j.jmsy.2021.02.014
  4. Miguel Vieira; Helena Paulo; Tânia Pinto-Varela; Ana Paula Barbosa-Póvoa. "Assessment of financial risk in the design and scheduling of multipurpose plants under demand uncertainty". International Journal of Production Research (2020): 1-21. https://doi.org/10.1080/00207543.2020.1804638.
    10.1080/00207543.2020.1804638
  5. Vieira, Miguel; Pinto-Varela, Tânia; Barbosa-Póvoa, Ana P.. "A model-based decision support framework for the optimisation of production planning in the biopharmaceutical industry". Computers & Industrial Engineering 129 (2019): 354-367. http://dx.doi.org/10.1016/j.cie.2019.01.045.
    Publicado • 10.1016/j.cie.2019.01.045
  6. Vieira, Miguel; Pinto-Varela, Tânia; Barbosa-Póvoa, Ana P.. "Production and maintenance planning optimisation in biopharmaceutical processes under performance decay using a continuous-time formulation: A multi-objective approach". Computers & Chemical Engineering 107 (2017): 111-139. http://dx.doi.org/10.1016/j.compchemeng.2017.03.008.
    Publicado • 10.1016/j.compchemeng.2017.03.008
  7. Vieira, Miguel; Pinto-Varela, Tânia; Moniz, Samuel; Barbosa-Póvoa, Ana P.; Papageorgiou, Lazaros G.. "Optimal planning and campaign scheduling of biopharmaceutical processes using a continuous-time formulation". Computers & Chemical Engineering 91 (2016): 422-444. http://dx.doi.org/10.1016/j.compchemeng.2016.04.009.
    10.1016/j.compchemeng.2016.04.009
Capítulo de livro
  1. Helena Paulo; Miguel Vieira; Bruno S. Gonçalves; Susana Relvas; Tânia Pinto-Varela; Ana P. Barbosa-Povoa. "A Discrete-Event Simulation Approach to the Design and Planning of Biomass Supply Chains considering Technological Learning". 1285-1291. Elsevier, 2023.
    10.1016/b978-0-443-15274-0.50205-5
  2. Helena Paulo; Miguel Vieira; Bruno S. Gonçalves; Tânia Pinto-Varela; Ana P. Barbosa-Póvoa. "Assessment of biomass supply chain design and planning using discrete-event simulation modeling". 967-972. Elsevier, 2022.
    10.1016/b978-0-323-95879-0.50162-4
  3. Vieira, Miguel; Coelho, Fabio; da Silva, Catia; Mota, Bruna; Guapo, Joana; Macedo, Rodrigo; Gonçalves, Bruno; et al. "Towards an integrated decision-support framework for the new generation of manufacturing systems". 2021.
    Aceite para publicação
  4. Vieira, Miguel; Moniz, Samuel; Gonçalves, Bruno; Pinto-Varela, Tânia; Barbosa-Póvoa, Ana Paula; Vieira, M.; Moniz, S.; et al. "Integrating Simulation and Optimization for Process Planning and Scheduling Problems". In 29th European Symposium on Computer Aided Process Engineering, 1441-1446. Elsevier, 2019.
    Publicado • 10.1016/b978-0-12-818634-3.50241-1
  5. Vieira, M.; Paulo, H.; Vilard, C.; Pinto-Varela, T.; Barbosa-Póvoa, A.P.; Vieira, Miguel; Paulo, Helena; et al. "Risk assessment for the design and scheduling optimization of periodic multipurpose batch plants under demand uncertainty". In 28th European Symposium on Computer Aided Process Engineering, 991-996. Elsevier, 2018.
    10.1016/B978-0-444-64235-6.50174-1
  6. Vieira, M.; Liu, S.; Pinto-Varela, T.; Barbosa-Póvoa, A.P.; Papageorgiou, L.G.; Vieira, Miguel; Liu, Songsong; et al. "Optimisation of Maintenance Planning into the Production of Biopharmaceuticals with Performance Decay using a Continuous-time Formulation". In 26th European Symposium on Computer Aided Process Engineering, 1749-1754. Elsevier, 2016.
    Publicado • 10.1016/B978-0-444-63428-3.50296-4
  7. Vieira, Miguel; Pinto-Varela, Tânia; Barbosa-Póvoa, Ana Paula. "Periodic Versus Non-periodic Multipurpose Batch Plant Scheduling: A Paint Industry Case Study". In CIM Series in Mathematical Sciences, 445-465. Springer International Publishing, 2015.
    Publicado • 10.1007/978-3-319-20328-7_24
  8. Vieira, Miguel; Pinto-Varela, Tânia; Barbosa-Póvoa, Ana; Vieira, M.; Pinto-Varela, T.; Barbosa-Póvoa, A.P.. "Planning and Scheduling in the Biopharmaceutical Industry: An Overview". In Synthesis, Design, and Resource Optimization in Batch Chemical Plants, 107-126. CRC Press, 2015.
    10.1201/b18200-7
  9. Vieira, M.; Pinto-Varela, T.; Barbosa-Póvoa, A.P.. "Optimal scheduling of multi-stage multi-product biopharmaceutical processes using a continuoustime formulation". 301-306. 2014.
    10.1016/B978-0-444-63456-6.50051-X
Resumo em conferência
  1. Vieira, Miguel; Paulo, Helena; Pinto-Varela, Tânia; Barbosa-Póvoa, Ana Paula. "Design and scheduling of multipurpose plants under demand uncertainty: A model-based decision support system". Trabalho apresentado em IO2019 XX Congresso APDIO, 2019.
  2. Guapo, Joana; Pinto-Varela, Tânia; Vieira, Miguel; Chibeles-Martins, Nelson. "A Multi-objective Metaheuristic Approach for the Planning in Flexible Assembly Lines". Trabalho apresentado em IO2019 XX Congresso APDIO, 2019.
  3. Vieira, Miguel; Moniz, Samuel; Pinto-Varela, Tania; Barbosa-Povoa, Ana P.. "A hybrid optimization-simulation solution for the planning and scheduling of automated assembly lines". Trabalho apresentado em IO2018 XVIII APDIO Conference, 2018.
  4. Guapo, Joana; Vieira, Miguel; Pinto-Varela, Tânia; Barbosa-Póvoa, Ana Paula. "Escalonamento de linhas de produção flexíveis com utilização de Robots". Trabalho apresentado em IO2018 XIX Congresso APDIO, 2018.
  5. Vieira, Miguel; Guapo, Joana; MONIZ, SAMUEL; Pinto-Varela, Tânia; Barbosa-Póvoa, Ana Paula. "Simulation-Optimization framework for planning reconfigurable assembly lines". Trabalho apresentado em Computers and Industrial Engineering-CIE47, 2017.
  6. Vieira, Miguel; Pinto-Varela, Tânia; Barbosa-Póvoa, Ana Paula. "A decision-support framework for the planning optimisation of biopharmaceutical industrial processes". Trabalho apresentado em IO2017-XVIII Congresso APDIO, 2017.
  7. Vieira, Miguel; Pinto-Varela, Tânia; Barbosa-Póvoa, Ana Paula. "Unit-specific continuous time formulation for the scheduling of biopharmaceutical batch and continuous processes". Trabalho apresentado em Process Systems Engineering/ European Symposium on Computer Aided Process Engineering-PSE2015/ESCAPE25, 2015.
Tese / Dissertação
  1. Vieira, Miguel. "Towards the development of a decision-support tool for the production planning and campaign scheduling of biopharmaceutical facilities". Doutoramento, Universidade de Lisboa Instituto Superior Técnico, 2017.

Outros

Técnica de investigação
  1. ICOMPASS – Development of a proof-of-concept prototype of a model-based decision-support tool for the production and maintenance planning optimization for biopharmaceutical industrial cases.. Investigador. Vieira, Miguel.
    Investigador
Distinções

Prémio

2024 Best paper award in Process Systems Engineering - Augusto Queiróz Novais (papers published in 2021-2023)
Associação Portuguesa de Investigação Operacional, Portugal
2019 Menção Honrosa - Academia Electrão 1ª edição (Digital Electrão)
Amb3E Associação Portuguesa de Gestão de Resíduos, Portugal
2018 Best paper award in Process Systems Engineering - Augusto Queiróz Novais (papers published in 2017)
Associação Portuguesa de Investigação Operacional, Portugal

Outra distinção

2022 TOP30 posters selected for oral presentation IO2022
Associação Portuguesa de Investigação Operacional, Portugal
2021 TOP25 posters selected for oral presentation IO2021
Associação Portuguesa de Investigação Operacional, Portugal
2019 Finalista na EUREKATHON Student Competition
Universidade do Porto Porto Business School, Portugal
2011 PhD grant (SFRH/BD/51594/2011)
Fundação para a Ciência e a Tecnologia, Portugal