"There is abundant knowledge but there is a lack of skills to apply that knowledge".

Dr. Trigos Salazar is is a Research Professor of the Department of Marketing and Business Intelligence at EGADE Business School and Leader of the Thematic Area Research Group (GAT) in Transdisciplinary Analysis of Value Chains and Global Opportunities at the Business School of Tecnológico de Monterrey.

Dr. Trigos Salazar has published broadly on areas related to the sustainable use of quantitative tools to maximize corporate performance. His research interests range from business analytics, industrial and corporate statistics, simulation and math programming, to economic engineering, corporate finance, and investments. He is a member of the SNI (Sistema Nacional de Investigadores), Level 1, Conacyt, and he is also a member of the Mexican Academy of Sciences. 

In the corporate field, he served as Director of Organizational Engineering and Director of Development of the Organization Gates Rubber Mexico, where his team qualified for the final stage of Charles C. Gates award; a major international award for teamwork and best practice. Professor Trigos has also acted as a consultant for companies including Aventis Pharma, Interjet, and Banco Azteca.

In addition to his teaching activity at EGADE Business School, Professor Trigos has held several managerial roles at Tecnologico de Monterrey, Director of Research and Graduate Programs, Director of the Doctoral Program in Industrial Engineering, Director of the Masters in Industrial Engineering, and Director of the international bachelor’s degree in Industrial Engineering. He has also been the academic advisor for student teams that have obtained first and third places in the International Software Simulation Competition organized by the Institute of Industrial Engineers (IIE) and the Rockwell Software. 

    • Ph.D.
      Georgia Institute of Technology
    • Master in Finance
      EGADE Business School
    • M.Sc.  In Industrial Engineering
      Georgia Institute of Technology
    • Master in Engineering with major in Operations Research
      Tecnológico de Monterrey
  • SNI (Sistema Nacional de Investigadores), Level 1, Conacyt
  • Mexican Academy of Sciences
  • MIT International Faculty Fellow
  • Best class average: December 2013
  • Best class average: June 1988 
  • Best class average:  December 1986
  1. F. Trigos, D. Maldonado-Cortés, L. Peña-Parás, G.E. García (2019) "Influence of Coating Chemical Composition and Thickness Layer on the Wear Behavior of Cutting Tools a Business Analytics Approach". Tribology in Industry, 41 (2) 286-291
  2. Trigos, F., Vázquez-Alcocer, A., Cardénas-Barrón, L.E.  (2019) "A simulation-based heuristic that promotes business profit while increasing the perceived quality of service industries". International Journal of Production Economics, 211, 60-70
  3. Trigos, F., López, E.M. (2019) "Tooling capacity analytics for the vulcanizing planning decision problem to improve strategic business profit". International journal of production research, Published online.
  4. Trigos-Salazar, F., & Lopez-Soriano, E. M. (2018) "Optimization of surface roughness on slitting knives by titanium dioxide nano particles as an additive in grinding lubricant. ". International Journal of Advanced Manufacturing Technology, 96 (9-12) 4111–4121
  5. Trigos, F., & López, E. M. (2018). Programming Global Strategy to Maximize Net Income Modeling Legal Conditions and Corporate Values. In Operations and Service Management: Concepts, Methodologies, Tools, and Applications (pp. 407-427). IGI Global. 
  6. Trigos, F., López, E.M. (2017) A vulcanizing decision planning as a particular one-dimensional cutting stock problem with limited part-related tooling in make-to-order industrial environments, International journal of production research, 55 (10), 2881-2896, Impact Factor 1.323, Q1, Taylor and Francis. ISSN: 1366-588X (Accepted August 15, 2016). DOI: 10.1080/00207543.2016.1227100.
  7. Trigos, F., López, E.M. (2016) Maximising profit for multiple-product, single-period, single-machine manufacturing under sequential set-up constraints that depend on lot size International journal of production research, 54 (4), 1134-1151 Impact Factor 1.323, Q1, Taylor and Francis. ISSN: 1366-588X. (Accepted May 19th 2015) DOI: 10.1080/00207543.2015.1055348