DISCIPLINARY BACKGROUND


Why study the Doctorate in Engineering Sciences, with Emphasis in Systems Analysis and Modeling?


In today's society, there are priority environmental, sustainable development, technological and social problems that must be addressed by experts in systems analysis and modeling, who have cutting-edge knowledge in the generation and application of systemic, mathematical and computational tools.

The Doctorate in Engineering Sciences, with emphasis in Systems Analysis and Modeling represents an original and interesting proposal for graduate students who want to specialize in addressing these problems at the regional and national level. This doctorate is aimed at generating and applying knowledge using a systemic approach in conjunction with the application of state-of-the-art mathematical and computational tools for the modeling, analysis and solution of relevant problems.


To train PhDs in Engineering Sciences, with emphasis in Systems Analysis and Modeling with a solid academic preparation oriented to research based on cutting-edge knowledge that contributes to the study, modeling, analysis and formulation of solutions for engineering systems, in order to impact the academic-scientific, business and social environment within the regional, national and international scope.
In the year 2023, the PhD program in Engineering Sciences, with emphasis on Systems Analysis and Modeling is recognized as a program of excellence for its high academic quality supported by consolidated academic bodies, lines of generation and application of cutting-edge knowledge that allows having committed graduates who are continuously updated and innovating in the analysis and modeling of systems; generating high impact products at national and international level through the implementation of collaborative research projects.
General Objective
  • To train human resources with scientific and technical knowledge to carry out research projects that allow the analysis and modeling of engineering systems by means of systemic, mathematical and computational tools that have been developed internationally.

Specific Objectives
  • Promote critical thinking skills for the solution of socially relevant problems through the generation, innovation and application of new techniques and methods in systems engineering, mathematical and computational analysis and modeling.
  • Generate state-of-the-art knowledge for the analysis and modeling of engineering systems through the systemic approach and mathematical and computational tools.
  • Develop research skills for the design and implementation of projects related to the analysis and modeling of systems that contribute to the solution of current problems of different sectors of society, based on the application of the scientific method.
  • To develop collaborative and interdisciplinary work skills that contribute to the improvement of social problems from a sustainable point of view, using a systemic and analytical approach.
The line of generation and application of knowledge (LGAC) that will be cultivated in the Doctorate in Engineering Sciences, with emphasis in Systems Analysis and Modeling is:

Systems Analysis and Modeling:

  • The objective of this line is to analyze and model engineering systems, and with them to study and understand their behavior over time.
    In this LGAC the conceptualization, design and analysis of systems is developed by taking into account the general context of its environment. For this, the systemic approach, mathematical and computational tools are applied in order to obtain its modeling, based on analysis and diagnosis techniques, heuristic techniques for planning, maturity models, dynamic models, cellular automata, evolutionary algorithms, Petri nets and simulation models, among others.

The proposed GLAC originates from the conjunction of the GLACs cultivated in both academic bodies that support this doctoral program, and is based on the multidisciplinarity and the relationship that exists between each of the disciplines being worked on. This line is based on the scientific production of the academic bodies, where the systemic approach, computational models, and the mathematical formality used in systems modeling are linked.




Duration

3.5 years (7 semesters)


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Basic Academic Core

We have twelve full-time researchers with Ph.D. degrees.



  1. Ortega, O., Robles, C., Garnica, J. (2017). Marketing-oriented organizational diagnosis in family SMEs. In El Marketing y la Orientación hacia el Consumidor Local. Pachuca: Universidad Autónoma del Estado de Hidalgo. ISBN 978-607-482-522-0.

  2. Rivera-Gómez, H., Lara, J., Montaño-Arango, O., Hernández-Gress, E.S., Corona-Armenta, J.R. (2018). Joint production and repair efficiency planning of a multiple deteriorating system. Flexible Services and Manufacturing Journal, 1-26, https://doi.org/10.1007/s10696-018-9313-2

  3. Eduardo Cruz Aldana, Antonio Oswaldo Ortega Reyes, Jaime Garnica González, Eva Selene Hernández Gress, Carlos Robles Acosta, Octavio Castillo Acosta (2018). Theoretical Foundation of a Human-Techno-Structural Model of Managerial Competences for the Public Transport of Dry Cargo. American Journal of Industrial and Business Management, 8, 1073-1092.

  4. Rivera, H., Montaño, O., Corona, J. R. Garnica, J., Hernández, E. S. and Barragán, I. Production and Maintenance Planning for a Deteriorating System with Operation-Dependent Defectives, Applied Sciences, 8 (165), pp. 1-23. ISSN: 2076-3417 . http://dx.doi.org/10.3390/app8020165.

  5. Rivera, H., Montaño, O., Corona, J. R. and Rivera, H. Maturity model for the assessment of best practices in manufacturing SMEs. Caso Estado de Hidalgo, Mexico, Mercados y Negocios, 1 (37), pp. 55-76. ISSN: 1665-7039.

  6. Gustavo Erick Anaya Fuentes, Eva Selene Hernández Gress, Juan Carlos Seck Tuoh Mora, Joselito Medina Marín, (2018) Solution to travelling salesman problem by clusters and a modified multi-restart iterated local search metaheuristic. PLoS ONE 13(8): e0201868. https:// doi.org/10.1371/journal.pone.0201868

  7. Irving Barragan-Vite, Juan C. Seck-Tuoh-Mora, Norberto Hernandez-Romero, Joselito Medina-Marin, Eva S. Hernandez-Gress, Distributed control of a manufacturing system with one-dimensional cellular automata. Complexity, In Press, accepted on July 2018.

  8. J.M. Saucedo-Solorio, A.N.Pisarchik, (2014) Synchronization of map-based neurons with memory and synaptic delay. Physiscs Letters A, 378(30-31), pp 2108-2112.

  9. Federico Nunez-Pina, Joselito Medina-Marin, Juan Carlos Seck-Tuoh-Mora, Norberto Hernandez-Romero, Eva Selene Hernandez-Gress, (2018) Modeling of Throughput in Production Lines Using Response Surface Methodology and Artificial Neural Networks, Complexity, Vol. 2018, Article ID 1254794, 10 pages, 2018 . https://doi.org/10.1155/2018/1254794

  10. Carlos Alberto Carrillo-Santos, Juan Carlos Seck-Tuoh-Mora, Norberto Hernández-Romero, Luis Enrique Ramos-Velasco, (2018) Wavenet identification of dynamical systems by a modified PSO algorithm, Engineering Applications of Artificial Intelligence, 73, 1-9, https://doi.org/10.1016/j.engappai.2018.04.025

  11. Oleksandr Karelin, Anna Tarasenko, Viktor Zolotov, and Manuel Gonzalez-Hernandez (2018), Study of the equilibrium state of systems with two renew able resources based on functional operators with shift, IAENG International Journal of Applied Mathematics, vol. 48, no.1, pp. 98-104, ISSN: 1992-9978, ISSN: 1992-9986, Hong Kong.

  12. Lagos Eulogio, P., Seck Tuoh Mora J.C., Hernández Romero N., Medina Marin J., (2017) A new method design for adaptive IIR system identification using hybrid CPSO and DE, Nonlinear Dynamics, vol. 88, no. 4, pp. 2371-2389.

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Dr. Juan Carlos Seck Tuoh Mora

Dr. Juan Carlos Seck Tuoh Mora
jseck@uaeh.edu.mx
SNI: 2
PRODEP: Current

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Dr. José Ramón Corona Armenta

Dr. José Ramón Corona Armenta
jrcorona@uaeh.edu.mx
PRODEP: Current

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Dr. Jaime Garnica González

Dr. Jaime Garnica Gonzalez
jgarnica@uaeh.edu.mx
PRODEP: Current

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Dr. Manuel González Hernández

Dr. Manuel González Hernández
mghdez@uaeh.edu.mx
SNI Level: 1
PRODEP: Current


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Dr. Norberto Hernández Romero

Dr. Norberto Hernández Romero
nhromero@uaeh.edu.mx
SNI 1
PRODEP: Current

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Dr. Oleksandr Karelin Anatolyecivh

Dr. Oleksandr Karelin Anatolyecivh
karelin@uaeh.edu.mx
SNI 1
PRODEP: Current

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Dr. Joselito Medina Marin

Dr. Joselito Medina Marín
jmedina@uaeh.edu.mx
SNI Level: 1
PRODEP: Current

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Dr. Oscar Montaño Arango

Dr. Oscar Montaño Arango
omontano@uaeh.edu.mx
SNI Level: 1
PRODEP: Current


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Dr. Antonio Oswaldo Ortega Reyes

Dr. Antonio Oswaldo Ortega Reyes
aortega@uaeh.edu.mx
SNI Level: C
PRODEP: Current

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Dr. Héctor Rivera Gómez

Dr. Héctor Rivera Gómez
hrivera@uaeh.edu.mx
SNI Level: 1
PRODEP: Current

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Dr. José Manuel Sausedo Solorio

Dr. José Manuel Sausedo Solorio
sausedo@uaeh.edu.mx
PRODEP: Current

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Dr. Irving Barragan Vite

Dr. Irving Barragán Vite
irvingb@uaeh.edu.mx
SNI C
PRODEP: Current








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