Profiles


Jonnatan Fernando Aviles

Food Engineering , Production Engineering

Español/Francés/Inglés

Av. 24 de Mayo 7-77 y Hernán Malo

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javiles@uazuay.edu.ec

Jonnatan Fernando Aviles

Education


  • Doctor en Ciencias de Ingenieria, Instituto Tecnologico y de Estudios Superiores de Monterrey, Mexico, 2016
  • Maestria en Ciencias Con Especialidad en Sistemas de Calidad y Productividad, Instituto Tecnologico y de Estudios Superiores de Monterrey, Mexico, 2014
  • Maestro en Ciencias de Calidad y Productividad., Instituto Tecnologico y de Estudios Superiores de Monterrey, Mexico, 2013
  • Ingeniero Industrial, Universidad de Cuenca, Ecuador, 2003

Jonnatan Fernando Aviles

Food Engineering , Production Engineering

javiles@uazuay.edu.ec


Expertise and Research Interests

Lean Manufacturing, Design of Experiments, Logistics Optimization, Six Sigma


Notable Achievements

  • Mejor Graduado Tecnológico de Monterrey Programa Doctorado en Ciencias de Ingeniería especialidad Ingeniería Industrial, 2016
  • Beca Excelencia Académica para cursar estudios de Doctorado en Instituto Tecnológico de Monterrey, 2012
  • Beca de Investigación Conacyt México proyecto Modelación matemática de Equipos para desarrollos Lean basados en el comportamiento, 2012
  • Beca Excelencia Académica para cursar estudios de Posgrado en Instituto Tecnológico de Monterrey, 2010
  • Mejor Graduado Universidad de Cuenca Ingeniería Industrial 2002, 2002
  • Beca de excelencia académica estudios de Ingeniería Industrial Universidad de Cuenca, 2000
  • Primer premio concurso “New Entrepreneurs Contest, Edition Cuenca – Ecuador”, organizado por JCI, UDA, UPS. , 2000

Research projects and activities

    Publications

    • A Method for Identifying Multiple RFID Tags in High Electromagnetic Interference Environments. Canadian Journal of Electrical and Computer Engineering, pág: 346-352 (2015)
      Link: 10.1109/CJECE.2015.2469632

    • Decision making method to select team members applying personnel behavior based lean model. Industrial Engineering & Management Systems., pág: 215-233 (2016)
      Link: NODE07019569

    • Effect of germination with sodium selenite on the isoflavones and cellular antioxidant activity of soybean (Glycine max). LWT-Food Science and Technology, pág: 64-70 (2018)
      Link: https://doi.org/10.1016/j.lwt.2018.01.060

    • Effect of wheat (Triticum aestivum) germination in presence of sodium selenite on the anti-proliferative activity of cancer cells, Istanbul. (2014).

    • Handbook of Research on Holistic Optimization Techniques in the Hospitality, Tourism, and Travel Industry (Advances in Hospitality, Tourism, and the Services Industry) (2016)

    • Identifying multiple RFID tags in high interference environments, Denver. (2013).

    • Lean team selection, based on personnel behavior and lean model implementation scheme whereas conflicts among people and availability of people time, Monterrey. (2016).

    • Optimization of wheat sprouting for production of selenium enriched kernels using response surface methodology and desirability function. LWT-Food Science and Technology, pág: 1080-1086 (2016)
      Link: https://doi.org/10.1016/j.lwt.2015.08.056

    • Production Planning and Scheduling Optimization Model for glass industry, Santiago de Chile. (2016).

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