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Activity based model based on AI to support the prediction of activity durations in metalworking project management Cover

Activity based model based on AI to support the prediction of activity durations in metalworking project management

Production Engineering Archives
Volume 31 (2025): Issue 4 (December 2025)
By: José Silva,  Paulo Ávila,  Luiz Faria,  João Bastos,  Luís Pinto Ferreira,  Hélio Castro and  João Matias  
Open Access
|Dec 2025

Authors

José Silva

jose.sil@ua.pt

University of Aveiro, Campus Universitário de Santiago, Aveiro, Portugal

Paulo Ávila

psa@isep.ipp.pt

ISEP, Polytechnic of Porto, Porto, Portugal
INESC TEC – Instituto de Engenharia de Sistemas e Computadores, Porto, Portugal

Luiz Faria

lef@isep.ipp.pt

ISEP, Polytechnic of Porto, Porto, Portugal

João Bastos

jab@isep.ipp.pt

ISEP, Polytechnic of Porto, Porto, Portugal
INESC TEC – Instituto de Engenharia de Sistemas e Computadores, Porto, Portugal

Luís Pinto Ferreira

lpf@isep.ipp.pt

ISEP, Polytechnic of Porto, Porto, Portugal
Associate Laboratory for Energy, Transports and Aerospace (LAETA-INEGI), Porto, Portugal

Hélio Castro

hcc@isep.ipp.pt

ISEP, Polytechnic of Porto, Porto, Portugal
INESC TEC – Instituto de Engenharia de Sistemas e Computadores, Porto, Portugal

João Matias

jmatias@ua.pt

University of Aveiro, Campus Universitário de Santiago, Aveiro, Portugal
GOVCOPP – Unidade de Investigação em Governança, Competitividade e Políticas Públicas, Universidade de Aveiro, Aveiro, Portugal
DOI: https://doi.org/10.30657/pea.2025.31.52 | Journal eISSN: 2353-7779 | Journal ISSN: 2353-5156
Journal RSS Feed
Language: English
Page range: 565 - 579
Submitted on: Jun 1, 2025
Accepted on: Nov 20, 2025
Published on: Dec 6, 2025
Published by: Quality and Production Managers Association
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Artificial intelligence,
IDEF0 Method,
Metalworking industry,
Project Management,
Time Prediction
Related subjects:
Business and economics,
Business management,
Business management, other,
Engineering,
Mechanical engineering,
Production technology,
Process engineering and industrial engineering,
Materials sciences,
Materials sciences, other

© 2025 José Silva, Paulo Ávila, Luiz Faria, João Bastos, Luís Pinto Ferreira, Hélio Castro, João Matias, published by Quality and Production Managers Association
This work is licensed under the Creative Commons Attribution 4.0 License.

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