Interactive learning of modeling and discrete-events simulation through Lego® parts. - José Arnaldo Barra Montevechi; Fabiano Leal; Rafael de Carvalho Miranda; Tábata Fernandes Pereira (WSC, 2013)

Identification of the main methods used in simulation projects. - José Arnaldo Barra Montevechi; Tábata Fernandes Pereira; Carlos Eduardo Sanches da Silva; Rafael de Carvalho Miranda; Anna Paula G. Scheidegger (WSC, 2015)

Integrating soft systems methodology to aid simulation conceptual modeling. - Tábata Fernandes Pereira; José Arnaldo Barra Montevechi; Rafael de Carvalho Miranda; Jonathan Daniel Friend (Int. Trans. Oper. Res., 2015)

Increasing the efficiency in integer simulation optimization: Reducing the search space through data envelopment analysis and orthogonal arrays. - Rafael de Carvalho Miranda; José Arnaldo Barra Montevechi; Aneirson Francisco da Silva; Fernando Augusto Silva Marins (Eur. J. Oper. Res., 2017)

A simulation-based approach to perform economic evaluation scenarios. - José Arnaldo Barra Montevechi; Rafael Florencio da Silva Costa; Alexandre Ferreira de Pinho; Rafael de Carvalho Miranda (J. Simulation, 2017)

Discrete simulation-based optimization methods for industrial engineering problems: A systematic literature review. - Wilson Trigueiro de Sousa Junior; José Arnaldo Barra Montevechi; Rafael de Carvalho Miranda; Afonso Teberga Campos (Comput. Ind. Eng., 2019)

Shop floor simulation optimization using machine learning to improve parallel metaheuristics. - Wilson Trigueiro de Sousa Junior; José Arnaldo Barra Montevechi; Rafael de Carvalho Miranda; Mona Liza Moura de Oliveira; Afonso Teberga Campos (Expert Syst. Appl., 2020)

A new approach using fuzzy DEA models to reduce search space and eliminate replications in simulation optimization problems. - Fernando Augusto Silva Marins; Aneirson Francisco da Silva; Rafael de Carvalho Miranda; José Arnaldo Barra Montevechi (Expert Syst. Appl., 2020)

Application of a management and storage system for knowledge generated from simulation projects as a teaching and assessment tool. - Tábata Fernandes Pereira; José Arnaldo Barra Montevechi; Fabiano Leal; Rafael de Carvalho Miranda; Anna Paula Galvão Scheidegger (Simul., 2021)

Goal programming and multiple criteria data envelopment analysis combined with optimization and Monte Carlo simulation: An application in railway components. - Aneirson Francisco da Silva; Fernando Augusto Silva Marins; Erica Ximenes Dias; Rafael de Carvalho Miranda (Expert Syst. J. Knowl. Eng., 2022)

Decision support in productive processes through DES and ABS in the Digital Twin era: a systematic literature review. - Carlos Henrique dos Santos; José Arnaldo Barra Montevechi; José Antonio de Queiroz; Rafael de Carvalho Miranda; Fabiano Leal (Int. J. Prod. Res., 2022)

Metamodel-based simulation optimization: A systematic literature review. - João Victor Soares do Amaral; José Arnaldo Barra Montevechi; Rafael de Carvalho Miranda; Wilson Trigueiro de Sousa Junior (Simul. Model. Pract. Theory, 2022)

Ensemble-Based Infill Search Simulation Optimization Framework. - José Arnaldo Barra Montevechi; João Victor Soares do Amaral; Rafael de Carvalho Miranda; Carlos Henrique dos Santos; Flavio Oliveira de Brito; Michael E. F. H. S. Machado (WSC, 2023)

Simulation-Based Digital Twins: An Accreditation Method. - Carlos Henrique dos Santos; José Arnaldo Barra Montevechi; Afonso Teberga Campos; Rafael de Carvalho Miranda; José Antonio de Queiroz; João Victor Soares do Amaral (WSC, 2024)

Adaptive metamodeling simulation optimization: Insights, challenges, and perspectives. - João Victor Soares do Amaral; José Arnaldo Barra Montevechi; Rafael de Carvalho Miranda; Carlos Henrique dos Santos (Appl. Soft Comput., 2024)

Advancing credit risk modelling with Machine Learning: A comprehensive review of the state-of-the-art. - André Aoun Montevechi; Rafael de Carvalho Miranda; André Luiz Medeiros; José Arnaldo Barra Montevechi (Eng. Appl. Artif. Intell., 2024)

A new multiple criteria data envelopment analysis with variable return to scale: Applying bi-dimensional representation and super-efficiency analysis. - Aneirson Francisco da Silva; Rafael de Carvalho Miranda; Fernando Augusto Silva Marins; Erica Ximenes Dias (Eur. J. Oper. Res., 2024)

Digital Twin simulation models: a validation method based on machine learning and control charts. - Carlos Henrique dos Santos; Afonso Teberga Campos; José Arnaldo Barra Montevechi; Rafael de Carvalho Miranda; Antonio Fernando Branco Costa (Int. J. Prod. Res., 2024)

Systematic Literature Review on Multi-Objective Simulation Optimization. - Mariane Gonçalves de Alcantara; Aneirson Francisco da Silva; Fernando Augusto Silva Marins; Rafael de Carvalho Miranda (Complex Syst. Model. Simul., 2025)

An integrated approach using discrete event simulation and design of experiments for working capital management in the fuel retail trade. - Ricardo Henrique Batista; Rafael de Carvalho Miranda; André Luiz Medeiros; João Victor Soares do Amaral; Aneirson Francisco da Silva (J. Simulation, 2025)

Adaptive metamodeling-based simulation optimisation. - João Victor Soares do Amaral; Rafael de Carvalho Miranda; José Arnaldo Barra Montevechi; Carlos Henrique dos Santos; Flávio de Oliveira Brito (J. Oper. Res. Soc., 2025)