Heuristic lot size scheduling on unrelated parallel machines with applications in the textile industry. - Cristóvão Silva; José M. Magalhães (Comput. Ind. Eng., 2006)

MAPP - A web-based decision support system for the mould industry. - Cristóvão Silva; Licínio Roque; Ana Sofia Almeida (Decis. Support Syst., 2006)

The ECHORD project proposals analysis - Research profiles, collaboration patterns and research topic trends. - Germano Veiga; Cristóvão Silva; Ricardo Araújo; J. Norberto Pires; Bruno Siciliano (Expert Syst. Appl., 2013)

Discontinued Products - An Empirical Study of Service Parts Management. - Luís Miguel D. F. Ferreira; Amílcar Arantes; Cristóvão Silva (ICORES, 2017)

Solving a Discrete Lot Sizing and Scheduling Problem with Unrelated Parallel Machines and Sequence Dependent Setup Using a Generic Decision Support Tool. - Nathalie Klement; Cristóvão Silva; Olivier Gibaru (APMS (1), 2017)

Proposal of a Reconfigurability Index Using Analytic Network Process. - Isabela Maganha; Cristóvão Silva; Luis Ferreira; Matthias Thürer; Enzo Morosini Frazzon; Marco Silvestri (IEEM, 2019)

POLC-A: an assessment of POLCA's authorization element. - Matthias Thürer; Nuno O. Fernandes; Mark Stevenson; Cristóvão Silva; Silvio Carmo-Silva (J. Intell. Manuf., 2019)

Thirty Years of Flexible Job-Shop Scheduling: A Bibliometric Study. - Pedro Coelho; Ana Pinto; Samuel Moniz; Cristóvão Silva (ISM, 2020)

Parallel Metaheuristics for Shop Scheduling: enabling Industry 4.0. - Pedro Coelho; Cristóvão Silva (ISM, 2020)

Adaptation and validation of the HCTM Scale into Human-robot interaction Portuguese context: A study of measuring trust in human-robot interactions. - Ana Pinto; Sónia Sousa 001; Cristóvão Silva; Pedro Coelho (NordiCHI, 2020)

A Well Lubricated Machine: A Data Driven Model for Lubricant Oil Conditions. - Roney Malaguti; Nuno Lourenço 002; Cristóvão Silva (EPIA, 2021)

A Distributed Model for Manufacturing Scheduling: Approaching the EDGE. - Pedro Coelho; Cristóvão Silva (APMS (1), 2021)

Wear and Tear: A Data Driven Analysis of the Operating Condition of Lubricant Oils. - Roney Malaguti; Nuno Lourenço 002; Cristóvão Silva (APMS (5), 2021)

The Potential of Low-Power, Cost-Effective Single Board Computers for Manufacturing Scheduling. - Pedro Coelho; Catarina Bessa; Jorge Landeck; Cristóvão Silva (ISM, 2022)

Industry 5.0: The Arising of a Concept. - Pedro Coelho; Catarina Bessa; Jorge Landeck; Cristóvão Silva (ISM, 2022)

Optimization of the Energy Consumption for Robotic Kitting in the Automotive Industry. - Mário Jorge Simões; Telmo Pinto 001; Cristóvão Silva (ROBOT (1), 2023)

Simulation of a Kitting System for the Replenishment of an Automotive Assembly Line. - Santiago Montoya Zapata; Nathalie Klement; Cristóvão Silva; Olivier Gibaru; Meriem Lafou (SOHOMA, 2023)

A supervised machine learning model for determining lubricant oil operating conditions. - Roney Malaguti; Nuno Lourenço 002; Cristóvão Silva (Expert Syst. J. Knowl. Eng., 2023)

Understanding the Drivers of Lean Learning in Industrial Environments. - Bruno Pereira; Luís Miguel D. F. Ferreira; Cristóvão Silva (APMS (2), 2024)

Nesting and scheduling optimization of additive manufacturing systems: Mapping the territory. - Marcelo Pinto; Cristóvão Silva; Matthias Thürer; Samuel Moniz (Comput. Oper. Res., 2024)

Multi-agent system for perturbations in the kitting process of an automotive assembly line. - Santiago Montoya Zapata; Nathalie Klement; Cristóvão Silva; Olivier Gibaru; Meriem Lafou (Eng. Appl. Artif. Intell., 2024)

Optimal decomposition approach for solving large nesting and scheduling problems of additive manufacturing systems. - Paulo Jorge Nascimento; Cristóvão Silva; Carlos Henggeler Antunes; Samuel Moniz (Eur. J. Oper. Res., 2024)

TuneNSearch: a hybrid transfer learning and local search approach for solving vehicle routing problems. - Arthur Corrêa; Cristóvão Silva; Liming Xu; Alexandra Brintrup; Samuel Moniz (CoRR, 2025)

Unraveling the Rainbow: can value-based methods schedule? - Arthur Corrêa; Alexandre Jesus; Cristóvão Silva; Samuel Moniz (CoRR, 2025)