Michel J. Anzanello
Michel J. Anzanello
Professor of Industrial Engineering, Federal University of Rio Grande do Sul
Verified email at
Cited by
Cited by
Learning curve models and applications: Literature review and research directions
MJ Anzanello, FS Fogliatto
International Journal of Industrial Ergonomics 41 (5), 573-583, 2011
Text mining approach to explore dimensions of airline customer satisfaction using online customer reviews
FR Lucini, LM Tonetto, FS Fogliatto, MJ Anzanello
Journal of Air Transport Management 83, 101760, 2020
Text mining approach to predict hospital admissions using early medical records from the emergency department
FR Lucini, FS Fogliatto, GJC da Silveira, JL Neyeloff, MJ Anzanello, ...
International journal of medical informatics 100, 1-8, 2017
Making the value flow: application of value stream mapping in a Brazilian public healthcare organisation
GL Tortorella, FS Fogliatto, M Anzanello, GA Marodin, M Garcia, ...
Total Quality Management & Business Excellence 28 (13-14), 1544-1558, 2017
The impacts of lean production on the complexity of socio-technical systems
M Soliman, TA Saurin, MJ Anzanello
International Journal of Production Economics 197, 342-357, 2018
Participatory ergonomics intervention for improving human and production outcomes of a Brazilian furniture company
LB de Macedo Guimarães, MJ Anzanello, JLD Ribeiro, TA Saurin
International Journal of Industrial Ergonomics 49, 97-107, 2015
Learning curve modelling of work assignment in mass customized assembly lines
MJ Anzanello, FS Fogliatto
International journal of production research 45 (13), 2919-2938, 2007
Simultaneous identification of low-molecular weight phenolic and nitrogen compounds in craft beers by HPLC-ESI-MS/MS
KP Cheiran, VP Raimundo, V Manfroi, MJ Anzanello, A Kahmann, ...
Food chemistry 286, 113-122, 2019
Selecting the best clustering variables for grouping mass-customized products involving workers' learning
MJ Anzanello, FS Fogliatto
International Journal of Production Economics 130 (2), 268-276, 2011
Counterfeit Cialis and Viagra fingerprinting by ATR-FTIR spectroscopy with chemometry: Can the same pharmaceutical powder mixture be used to falsify two medicines?
RS Ortiz, K de Cássia Mariotti, B Fank, RP Limberger, MJ Anzanello, ...
Forensic science international 226 (1-3), 282-289, 2013
Selecting the best variables for classifying production batches into two quality levels
MJ Anzanello, SL Albin, WA Chaovalitwongse
Chemometrics and Intelligent Laboratory Systems 97 (2), 111-117, 2009
Curvas de aprendizado: estado da arte e perspectivas de pesquisa
MJ Anzanello, FS Fogliatto
Gestão & Produção 14, 109-123, 2007
A novel specific artificial intelligence-based method to identify COVID-19 cases using simple blood exams
F Soares, A Villavicencio, FS Fogliatto, MH Pitombeira Rigatto, ...
MedRxiv, 2020.04. 10.20061036, 2020
A learning curve-based method to implement multifunctional work teams in the Brazilian footwear sector
LBM Guimarães, MJ Anzanello, JS Renner
Applied ergonomics 43 (3), 541-547, 2012
Lean manufacturing implementation, context and behaviors of multi-level leadership: a mixed-methods exploratory research
G Tortorella, D Fettermann, M Anzanello, R Sawhney
Journal of Manufacturing Technology Management 28 (7), 867-891, 2017
Scott test evaluation by multivariate image analysis in cocaine samples
MCA Marcelo, KC Mariotti, RS Ortiz, MF Ferrão, MJ Anzanello
Microchemical Journal 127, 87-93, 2016
Multicriteria variable selection for classification of production batches
MJ Anzanello, SL Albin, WA Chaovalitwongse
European journal of operational research 218 (1), 97-105, 2012
A review of recent variable selection methods in industrial and chemometrics applications
MJ Anzanello, FS Fogliatto
European Journal of Industrial Engineering 8 (5), 619-645, 2014
A multivariate-based wavenumber selection method for classifying medicines into authentic or counterfeit classes
MJ Anzanello, RS Ortiz, RP Limbergerb, P Mayorga
Journal of pharmaceutical and biomedical analysis 83, 209-214, 2013
Scheduling learning dependent jobs in customised assembly lines
MJ Anzanello, FS Fogliatto
International Journal of Production Research 48 (22), 6683-6699, 2010
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