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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.
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Identification

Personal identification

Full name
Paulo Jorge Rodrigues Nascimento

Citation names

  • Nascimento, P.

Author identifiers

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

Email addresses

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

Telephones

Mobile phone
  • 926428891 (Personal)

Addresses

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

Websites

Knowledge fields

  • Engineering and Technology

Languages

Language Speaking Reading Writing Listening Peer-review
Portuguese (Mother tongue)
English Advanced (C1) Proficiency (C2) Proficiency (C2) Advanced (C1) Proficiency (C2)
Education
Degree Classification
2020/11/02 - 2023
Ongoing
 Mechanical Engineering (Doutoramento)
Faculty of Science and Technology, University of Coimbra, Portugal
2018/08/27 - 2020/07/20
Concluded
 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" (THESIS/DISSERTATION)
 18
2015/09/10 - 2018/05/30
Concluded
 Engineering and Industrial Management (Licenciatura)
Faculty of Science and Technology, University of Coimbra, Portugal
 18
Affiliation

Teaching in Higher Education

Category
Host institution 		Employer
2022/09 - 2023/01 Invited Assistant (University Teacher) Universidade de Coimbra, Portugal
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
2021/09 - 2022/01 Invited Assistant (University Teacher) Universidade de Coimbra, Portugal
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
Projects

Grant

Designation Funders
2021/06 - 2025/05 Using large optimization models to drive additive manufacturing transformation
83570DFA
 Fundação para a Ciência e a Tecnologia
Outputs

Publications

Book chapter
  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.
    Accepted • 10.1007/978-3-031-20788-4_8
Journal article
  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
Activities

Event participation

Activity description
Type of event 		Event name
Institution / Organization
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.
Call
 Simio Student Competition, May 2020
Simio LLC, United States
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.
Call
 Eurekathon
Universidade do Porto Porto Business School, Portugal

Association member

Society Organization name Role
2019/05/27 - 2020/10/29 Mechanical Engineering Students Association - University of Coimbra Treasurer

Interview (newspaper / magazine)

Activity description Newspaper / 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
Distinctions

Award

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