• Profesor de Operaciones y Supply Chain, Profesor de Tiempo Completo
  • Colegio de Administración y Economía, CADE
  • 297-1700 ext 1344
  • jediaz@usfq.edu.ec


  • PhD in Business and Management, The University of Manchester
  • MSc in Food and Resource Economics, Rheinische Friedrich-Wilhelms-Universität Bonn


Professor, Universidad San Francisco de Quito
( 2016 - Hasta el presente )
Teaching, research and projects
Seminar Leader, The University of Manchester
( 2015 - 2016 )
Course: “Decision Modelling for Resource Management”, this course is focussed on the solution of real-world problems through optimization
Quality Management Regional Analyst, Nestlé
( 2010 - 2011 )
High and ultra performance liquid chromatography (HPLC y UPLC) expert, responsible for liposoluble vitamins for Ecuador, Colombia y Venezuela
Research Assistant, Technische Universität München
( 2009 - 2009 )
HPLC, micro y ultra filtration


Evolutionary robust optimization in production planning–interactions between number of objectives, sample size and choice of robustness measure
Integrating meta-heuristics, simulation and exact techniques for production planning of a failure-prone manufacturing system
Simulation-Based Optimization for Production Planning: Integrating Meta-Heuristics, Simulation and Exact Techniques to Address the Uncertainty and Complexity of Manufacturing Systems
Multi-Objective Formulations for Robust Optimization
Implicit and explicit averaging strategies for simulation-based optimization of a real-world production planning problem
Simulation-based GA optimization for Production Planning
Linear Programming Applied to Production Planning of Manufacturing Processes
Eficiencia de las pruebas discriminatorias para reportar diferencias cuando se utilizan consumidores ecuatorianos


Director and founder of the "Evolutionary Optimization Group" at Universidad San Francisco de Quito. Multi-objective optimization under uncertainty, simulation-based optimization, automatic design and configuration of evolutionary algorithms, seeding in evolutionary algorithms, robust optimization and matheuristics.