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Paulo Nascimento is a Ph.D. student at the Faculty of Sciences and Technology of the University of Coimbra, funded by an MIT Portugal Program (MPP2030-FCT) Ph.D. scholarship. Holding both a BSc and an MSc in Industrial Engineering and Management from the University of Coimbra, Paulo has also been a Visiting Researcher at other institutions, including MIT CSAIL. His research, driven by real-world challenges primarily inspired by Additive Manufacturing-based scenarios, focuses on integrating Operations Research methodologies such as Optimization, Simulation, and Machine learning, to create versatile and broadly applicable advanced analytic solutions for practical Operations Management issues. His teaching experience spans both undergraduate and graduate level courses, covering topics like Flexible Production Systems, Continuous Improvement, and Quality Management. Additionally, Paulo has co-supervised master's dissertations in production scheduling and Additive Manufacturing, and worked alongside companies to improve their production scheduling.
Identificação

Identificação pessoal

Nome completo
Paulo Jorge Rodrigues Nascimento

Nomes de citação

  • Nascimento, P.

Identificadores de autor

Ciência ID
E112-F5CB-7B35
ORCID iD
0000-0003-4139-1100

Endereços de correio eletrónico

  • pnascimento@student.dem.uc.pt (Profissional)

Telefones

Telemóvel
  • 926428891 (Pessoal)

Moradas

  • Rua das Biscainhas de Baixo 23, 3090-477, Maiorca, Figueira da Foz, Portugal (Pessoal)

Websites

Domínios de atuação

  • Ciências da Engenharia e Tecnologias

Idiomas

Idioma Conversação Leitura Escrita Compreensão Peer-review
Português (Idioma materno)
Inglês Utilizador proficiente (C1) Utilizador proficiente (C2) Utilizador proficiente (C2) Utilizador proficiente (C1) Utilizador proficiente (C2)
Formação
Grau Classificação
2020/11/02 - 2023
Em curso
Mechanical Engineering (Doutoramento)
Faculty of Science and Technology, University of Coimbra, Portugal
2018/08/27 - 2020/07/20
Concluído
Engineering and Industrial Management (Mestrado)
Faculty of Science and Technology, University of Coimbra, Portugal
"Lot sizing and scheduling on parallel production lines with product families in the paper industry" (TESE/DISSERTAÇÃO)
18
2015/09/10 - 2018/05/30
Concluído
Engineering and Industrial Management (Licenciatura)
Faculty of Science and Technology, University of Coimbra, Portugal
18
Percurso profissional

Docência no Ensino Superior

Categoria Profissional
Instituição de acolhimento
Empregador
2022/09 - 2023/01 Assistente Convidado (Docente Universitário) Universidade de Coimbra, Portugal
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
2021/09 - 2022/01 Assistente Convidado (Docente Universitário) Universidade de Coimbra, Portugal
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
Projetos

Bolsa

Designação Financiadores
2021/06 - 2025/05 Using large optimization models to drive additive manufacturing transformation
83570DFA
Fundação para a Ciência e a Tecnologia
Produções

Publicações

Artigo em revista
  1. Paulo Jorge Nascimento; Cristóvão Silva; Carlos Henggeler Antunes; Samuel Moniz. "Optimal decomposition approach for solving large nesting and scheduling problems of additive manufacturing systems". European Journal of Operational Research (2024): https://doi.org/10.1016/j.ejor.2024.03.004.
    10.1016/j.ejor.2024.03.004
  2. João Maranha; Paulo Jorge Nascimento; Tomaz Alexandre Calcerano; Cristóvão Silva; Stefanie Mueller; Samuel Moniz. "A decision-support framework for selecting additive manufacturing technologies". Journal of Manufacturing Technology Management (2023): https://doi.org/10.1108/JMTM-02-2023-0047.
    10.1108/JMTM-02-2023-0047
Capítulo de livro
  1. Nascimento, Paulo; Silva, Cristóvão; Mueller, Stefanie; Moniz, Samuel. "Nesting and Scheduling for Additive Manufacturing: An Approach Considering Order Due Dates". In Springer Proceedings in Mathematics & Statistics, 117-128. Springer International Publishing, 2023.
    Aceite para publicação • 10.1007/978-3-031-20788-4_8
Atividades

Participação em evento

Descrição da atividade
Tipo de evento
Nome do evento
Instituição / Organização
2020/02 - 2020/05 The challenge consisted in the development of a solution that would allow a distribution center that was receiving a greater number of references, to optimize its internal logistics and to efficiently deal with variable demand, respecting various logistical restrictions. By developing an optimization-simulation model, it was demonstrated how to design a wave management system, and also, how to organize the warehouse, achieving the 4th place internationally, being this competition promoted by the American company Simio LLC.
Concurso
Simio Student Competition, May 2020
Simio LLC, Estados Unidos
2019/11/08 - 2019/11/09 The addressed challenge was to develop concrete and creative solutions in order to contribute to a healthy life and general well-being. All participants had access to a diversity of data sources, private and public, in order to carry out analyzes and create tools, with the main objective of building predictive and prescriptive solutions to a real problem, related to aging and rural isolation. This event was promoted by NOS SGPS, LTPlabs and Porto Business School, reaching the final stage of the contest, and obtaining the 7th place.
Concurso
Eurekathon
Universidade do Porto Porto Business School, Portugal

Entrevista (jornal / revista)

Descrição da atividade Jornal / Forum
2020/07/29 Interview for supply chain magazine, in order to explain the participation in the Simio Student Competition, and the developed solution which made it possible to achieve the 4th place. Supply Chain Magazine

Membro de associação

Nome da associação Tipo de participação
2019/05/27 - 2020/10/29 Mechanical Engineering Students Association - University of Coimbra Treasurer
Distinções

Prémio

2020 3% Best Students Award
University of Coimbra, Portugal
2019 3% Best Students Award
University of Coimbra, Portugal
2018 3% Best Students Award
University of Coimbra, Portugal