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Araceli Zavala Martí­nez

  • Contact Information
  • SNII Level
  • Education
  • Projects
  • Research Interests
  • Thesis
  • Publications
  • -

Contact Information:

Campus:

E-mail: araceli.zavala@tec.mx

ORCID: 0000-0002-8011-7561

SNII Level: 1

Education:

Ph.D. Engineering Mangement

Projects:

  • Game theory among technology companies,
  • Simulation of logistics corridors

Research Interests:

  • Inventory,
  • Resilience,
  • Data Science, Machine Learning,
  • Supply Chain,
  • AI

Thesis:

Quantitative considerations regarding supply chain resilience: a perspective from hardware and social networks

Publications:

  • Prieto-Medrano, Cassandra G., Gildardo Sanchez-Ante, Araceli Zavala, Angélica Lizeth Sánchez-López, Adriana Cavazos-Garduño, Ana Karina Carrillo-Pérez, Rebeca Garcia-Varela, and Yocanxóchitl Perfecto-Avalos. "AI-Driven Design and Comparative Evaluation of SNEDDS for the Optimized Nanoencapsulation of Phytoextracts". Nanomaterials 16, No. 13 (2026): 793. https://doi.org/10.3390/nano16130793
  • Lopez-Sanchez, E., Ramirez-Nafarrate, A., Zavala, A. et al. "Labor market competition in Mexico’s electronics manufacturing: a system dynamic model for trade policy evaluation". Ann Oper Res (2026). https://doi.org/10.1007/s10479-026-07128-7
  • Lopez-Sanchez E, Ramirez-Nafarrate A, Zavala A, Elizondo-Noriega A, Montalvo-Corzo RF (2025), "System dynamics model for evaluating ESG-based strategies to reduce turnover in manufacturing". European Business Review, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/EBR-01-2025-0029
  • Zavala, A., Nowicki, D., and Ramirez-Marquez, J. E. (2024). "Simultaneous Consideration of System Design and Post-Production Support Network Decisions in the Context of a Performance-Based Contract". IEEE Access. https://doi.org/10.1109/ACCESS.2024.3442672
  • Zavala, A., Verma, D., and Marquez, J. E. R. (2024). Exploring more than a decade of a systems engineering research center: a text analysis and community detection approach. Systems Engineering. https://doi.org/10.1002/sys.21760  
  • Navarro-López, D. E., Perfecto-Avalos, Y., Zavala, A., de Luna, M. A., Sánchez-Martínez, A., Ceballos-Sánchez, O., ... & Sánchez-Ante, G. (2024). Unraveling complex interactions: Machine learning approaches to predict bacterial survival against ZnO and lanthanum-doped ZnO nanoparticles. Antibiotics, 13(3), 220.
  • Perfecto-Avalos, Y., Navarro-López, D. E., Martínez-Beltrán, S., Rojas-Torres, D. E., Suárez Ávila, K. D., Robles, T. I., Zavala, A., de Luna, M. A., Sánchez-Martínez, A., Ceballos-Sánchez, O., & Sepúlveda-Villegas, M. (2023). Data-driven machine learning to predict the antibacterial activity of cerium-doped nanoparticles. ACS Applied Nanomaterials, 6(22), 20719–20730.
  • Zavala, Araceli, Shikha Soneji, Suchita Kothari, José Emmanuel Ramírez-Márquez, Hoong Yan See Tao, & Nicole Hutchison. (2020). Effectiveness of systems engineers in an organization: A visual and text analysis approach. IEEE Systems Journal, 1–12. https://doi.org/10.1109/JSYST.2020.2969359.
  • Zavala, Araceli, David Nowicki and Jose Emmanuel Ramirez-Marquez. 2019. “Quantitative Metrics to Analyze Supply Chain Resilience and Associated Costs.” *Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability* 233 (2): 186–99. https://doi.org/10.1177/1748006X18766738.
  • Zavala, Araceli and Jose Emmanuel Ramirez-Marquez. 2019. «Visual Analytics for Identifying Product Disruptions and Effects via Social Media». *International Journal of Production Economics* 208 (December 2017): 544–59. https://doi.org/10.1016/j.ijpe.2018.12.020.
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