Citas bibligráficas
Nuñez, K., Pacheco, P. (2021). Optimización del proceso de gestión de flota para una empresa de transporte de carga por carretera usando Machine Learning, BI, GPS y SMS Gateway [Tesis, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/657542
Nuñez, K., Pacheco, P. Optimización del proceso de gestión de flota para una empresa de transporte de carga por carretera usando Machine Learning, BI, GPS y SMS Gateway [Tesis]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2021. http://hdl.handle.net/10757/657542
@misc{renati/397257,
title = "Optimización del proceso de gestión de flota para una empresa de transporte de carga por carretera usando Machine Learning, BI, GPS y SMS Gateway",
author = "Pacheco Chávez, Philipp Gil",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2021"
}
The objective of this thesis work is to present an optimization solution to the “Fleet Management“ process of a company dedicated to the road freight transport of goods in general. For the business architecture, the Zachman framework was used, which allowed the analysis of the business, its environment, structure and processes, from the perspective of the business as a black box that needs to be deciphered. Which allowed the purpose and objectives for which the business was created to be understood. Additionally, we use TOGAF and ADM, from the result of the analysis it is observed that the macro-process of “Fleet Management“ is one of the operational processes of vital importance for the business, since it is where the operational resources of the business are managed, it is also where the problem that will be the subject of study, analysis and solution proposal will be evidenced. On the other hand, the PMBOK Guide was used to manage the development of the project, determining the scope of the research, as well as the business analysis, the definition of the business architecture, the analysis of the problem, the engineering of the processes, the proposed solution, solution architecture using technological trends such as GPS, SMS Gateway, Machine Learning and BI, finally, the prototyping of the proposed solution and architecture will be designed. Likewise, risk management will be used to mitigate any incident.
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