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Francisco Trejo

Observed name: FRANCISCO TREJO
Observed institution: Universidad Anáhuac
ORCID: 0000-0002-2662-0609
Observed ORCID: 0000-0002-2662-0609
OpenAlex ID: A5001862231
Application of a grey model MCGM (1,1) for demand forecasting in a third-party logistics providers in maquila industry in Mexico
2025 · Francisco Trejo, Rafael Torres Escobar · Grey Systems Theory and Application · 3
Application of the Sugeno-Takagi-Kang Fuzzy Logic Model as a Decision Support System with a Mathematical Approach for Managing Uncertainty in Supply Chain for the Demand Forecasting: Proposal of a Fuzzy Time Series Forecasting Model (FTS)
2026 · Francisco Trejo, Rafael Torres-Escobar, et al. · Signals and communication technology · 1
GM (1,1) Model and Deep Neural Networks (GMDNN (1,1)) for Forecasting in Contexts of Small Data and High Uncertainty: An Application in Intelligent Logistics
2026 · Francisco Trejo, Rafael Torres-Escobar, et al. · Lecture notes in computer science · 1
A Hybrid Fuzzy–Markov Forecasting Model (HFMFM) for Air Cargo Demand Prediction Under High Uncertainty: A Case Study of Tijuana International Airport
2026 · Francisco Trejo, Alberto Ochoa-Zezzatti · Lecture notes in computer science
Decision Support System Based on Grey Systems and Markov Chain MCGM (1,1) Applied to Improve Forecast for Demand Uncertainty
2025 · Francisco Trejo, Rafael Torres Escobar, et al. · Lecture notes in computer science
Forecasting 3PL demand of warehousing services with interval type-3 fuzzy logic and GM (1,1)
2024 · Francisco Trejo, Rafael Torres Escobar, et al. · International Journal of Combinatorial Optimization Problems and Informatics.
Application of the Sugeno-Takagi-Kang fuzzy logic for demand forecasting in the supply chain, a Fuzzy temporary series forecast model (FTS) proposal
2023 · FRANCISCO TREJO, RAFAEL TORRES ESCOBAR · Proceedings International Conference on Industrial Engineering and Operations Management
Grey Markov model GM (1, 1) applied in forecasting demand in the supply
2022 · FRANCISCO TREJO · Proceedings International Conference on Industrial Engineering and Operations Management
Works count: 8
Citation count: 5
H-index: 1
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