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Flavio S. Fogliatto
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- affiliation: Federal University of Rio Grande do Sul, Industrial Engineering Department, Brazil
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2020 – today
- 2024
- [j18]Bruno Miranda dos Santos
, Flavio Sanson Fogliatto
Modeling help chains in health services as social networks: moving from linearity to complexity. Int. J. Prod. Res. 62(16): 5791-5808 (2024) - [j17]Riccardo Patriarca
Conceptualization of a functional random walker for the analysis of socio-technical systems. Reliab. Eng. Syst. Saf. 251: 110341 (2024) - 2023
- [j16]Guilherme Luz Tortorella
Readiness of Brazilian Industrial Engineering postgraduate programs for Industry 4.0: A knowledge dimensions assessment. Comput. Appl. Eng. Educ. 31(3): 501-519 (2023) - [j15]Guilherme Luz Tortorella
Digital transformation of health services: a value stream-oriented approach. Int. J. Prod. Res. 61(6): 1814-1828 (2023) - [j14]Guilherme Luz Tortorella
Effect of Industry 4.0 technologies adoption on the learning process of workers in a quality inspection operation. Int. J. Prod. Res. 61(22): 7592-7607 (2023) - [j13]Leandro Miletto Tonetto
Information and communication technologies in emergency care services for patients with COVID-19: a multi-national study. Int. J. Prod. Res. 61(24): 8384-8400 (2023) - 2022
- [j12]Gabrielli Harumi Yamashita
Customized prediction of attendance to soccer matches based on symbolic regression and genetic programming. Expert Syst. Appl. 187: 115912 (2022) - [j11]Guilherme Luz Tortorella
Assessment and prioritisation of Healthcare 4.0 implementation in hospitals using Quality Function Deployment. Int. J. Prod. Res. 60(10): 3147-3169 (2022) - 2021
- [c2]Guilherme Luz Tortorella, Flavio S. Fogliatto, Diego A. Tlapa:
Digital Transformation of Health Services Value Streams. ACIS 2021: 1 - 2020
- [j10]Milad Yousefi, Moslem Yousefi, Masood Fathi
Patient visit forecasting in an emergency department using a deep neural network approach. Kybernetes 49(9): 2335-2348 (2020) - [j9]Milad Yousefi
Simulation-based optimization methods applied in hospital emergency departments: A systematic review. Simul. 96(10) (2020)
2010 – 2019
- 2019
- [j8]Matheus Lohmann, Michel Jose Anzanello
Grouping workers with similar learning profiles in mass customization production lines. Comput. Ind. Eng. 131: 542-551 (2019) - 2018
- [j7]Milad Yousefi, Moslem Yousefi, Ricardo Poley Martins Ferreira
Chaotic genetic algorithm and Adaboost ensemble metamodeling approach for optimum resource planning in emergency departments. Artif. Intell. Medicine 84: 23-33 (2018) - [j6]Fernanda Araujo Pimentel Peres, Flavio Sanson Fogliatto:
Variable selection methods in multivariate statistical process control: A systematic literature review. Comput. Ind. Eng. 115: 603-619 (2018) - [j5]Felipe Soares
Element selection and concentration analysis for classifying South America wine samples according to the country of origin. Comput. Electron. Agric. 150: 33-40 (2018) - [j4]Guilherme Brittes Benitez
Systematic Layout Planning of a Radiology Reporting Area to Optimize Radiologists' Performance. J. Digit. Imaging 31(2): 193-200 (2018) - 2017
- [j3]Filipe R. Lucini
Text mining approach to predict hospital admissions using early medical records from the emergency department. Int. J. Medical Informatics 100: 1-8 (2017) - 2016
- [j2]Rafael Calegari
Forecasting Daily Volume and Acuity of Patients in the Emergency Department. Comput. Math. Methods Medicine 2016: 3863268:1-3863268:8 (2016) - 2011
- [c1]Michel J. Anzanello
Clustering variables selection in Mass Customized scenarios affected by workers' learning. IEEM 2011: 327-331
2000 – 2009
- 2008
- [j1]Flavio S. Fogliatto
Multiresponse optimization of products with functional quality characteristics. Qual. Reliab. Eng. Int. 24(8): 927-939 (2008)
Coauthor Index
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