NOSEDAL SANCHEZ, JENARO

NOSEDAL SANCHEZ, JENARO

INGENIERÍA · Nivel 1

Desde 2024 es Director Académico en Universidad de las Américas Puebla

Perfil académico

Nombre JENARO NOSEDAL SANCHEZ
Área INGENIERÍAS Y DESARROLLO TECNOLÓGICO
Campo INGENIERÍA
Disciplina INGENIERÍA INDUSTRIAL
Especialidad SISTEMAS
CVU 34164
Institución
Dependencia FACULTAD DE INGENIERIA
Entidad MEXICO
Nivel 1
Vigencia Inicio: 01/01/2024
Fin: 31/12/2028

Publicaciones ORCID

2022
Analysis and improvement proposal for the supply and storage process in Tier 1 21st International Conference on Modeling and Applied Simulation, MAS 2022
Design and analysis of alternatives for the supply of components within the production facilities of new customers of a company with a full-service provider model 21st International Conference on Modeling and Applied Simulation, MAS 2022
Editorial on “Multilog – Managing multimodality-Challenges and Innovative solutions for multimodality: Selected Papers of the MULTILOG 2019 Conference on Multimodality” Case Studies on Transport Policy
Service level analysis for an automotive prototype manufacturing company through the application of discrete event modelling and simulation International Journal of Simulation and Process Modelling
2021
Bus fleet selection analysis for a BRT concession in the Mexico valley metropolitan zone Case Studies on Transport Policy
Performance evaluation of a road freight transportation company through SCOR metrics Case Studies on Transport Policy
Transactional failure mode and effect analysis an application to map risks in the service industry Case Studies on Transport Policy
Forecast of the optimal activation function for the stablecoins using neural network 20th International Conference on Modeling and Applied Simulation, MAS 2021
2020
Identification and empirical characterisation of flight arrival variation and the impact on departure punctuality International Journal of Services and Operations Management
2019
Modeling provision of disaster mutual assistance by electricity utilities using logistic regression International Journal of Disaster Risk Reduction