Marcelo S. Nagano

University of Sao Paulo, Brazil
Professor
Department of Production Engineering

Scopus ID: 23061561000
Web of Science profile: link
Google Scholar profile: link
ORCID ID: http://orcid.org/0000-0002-0239-1725

TOP-5 publications:

  1. Jabbour, C. J. C., Santos, F. C. A., Nagano, M. S. (2010). Contributions of HRM throughout the stages of environmental management: methodological triangulation applied to companies in Brazil. The International Journal of Human Resource Management, 21 (7), 1049–1089. doi: https://doi.org/10.1080/09585191003783512
  2. Guarnieri, P., Sobreiro, V. A., Nagano, M. S., Marques Serrano, A. L. (2015). The challenge of selecting and evaluating third-party reverse logistics providers in a multicriteria perspective: a Brazilian case. Journal of Cleaner Production, 96, 209–219. doi: https://doi.org/10.1016/j.jclepro.2014.05.040
  3. Jabbour, C. J. C., Santos, F. C. A., Nagano, M. S. (2008). Environmental management system and human resource practices: is there a link between them in four Brazilian companies? Journal of Cleaner Production, 16 (17),1922–1925. doi: https://doi.org/10.1016/j.jclepro.2008.02.004
  4. Jabbour, C. J. C., Santos, F. C. A., Fonseca, S. A., Nagano, M. S. (2013). Green teams: understanding their roles in the environmental management of companies located in Brazil. Journal of Cleaner Production, 46, 58–66. doi:10.1016/j.jclepro.2012.09.018
  5. Framinan, J. M., Nagano, M. S. (2008). Evaluating the performance for makespan minimisation in no-wait flowshop sequencing. Journal of Materials Processing Technology, 197 (1-3),1–9. doi: https://doi.org/10.1016/j.jmatprotec.2007.07.039

NEW-5 publications:

  1. Nagano, M. S., Rossi, F. L., Martarelli, N. J. (2018). High-performing heuristics to minimize flowtime in no-idle permutation flowshop. Engineering Optimization, 51 (2), 185–198. doi: https://doi.org/10.1080/0305215x.2018.1444163
  2. Rossi, F. L., Nagano, M. S. (2019). Heuristics for the mixed no-idle flowshop with sequence-dependent setup times and total flowtime criterion. Expert Systems with Applications, 125, 40–54. doi: https://doi.org/10.1016/j.eswa.2019.01.057
  3. Miyata, H. H., Nagano, M. S. (2019). The blocking flow shop scheduling problem: A comprehensive and conceptual review. Expert Systems with Applications, 137, 130–156. doi: https://doi.org/10.1016/j.eswa.2019.06.069
  4. Takano, M. I., Nagano, M. S. (2020). Solving the permutation flow shop problem with blocking and setup time constraints. International Journal of Industrial Engineering Computations, 469–480. doi: https://doi.org/10.5267/j.ijiec.2019.11.002
  5. Tomazella, C. P., Nagano, M. S. (2020). A comprehensive review of Branch-and-Bound algorithms: Guidelines and directions for further research on the flowshop scheduling problem. Expert Systems with Applications, 158, doi: https://doi.org/10.1016/j.eswa.2020.113556