Process mining applied to postal distribution

Detalles Bibliográficos
Autor Principal: Martínez, Victor
Otros autores o Colaboradores: Lanzarini, Laura Cristina, Ronchetti, Franco
Formato: Capítulo de libro
Lengua:español
Temas:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/130342
Consultar en el Cátalogo
Resumen:Process mining is a technique that allows analyzing business processes through event logs. In this article, different process mining techniques are used to analyze data based on the postal distribution of products in the Argentine Republic between the years 2017 and 2019. The results obtained allow stating that 85% of the shipments made conform exactly to the model. The analysis of the situations with a low level of adjustment to the discovered process constituted a tool for quick identification of some recurring problems in the distribution, facilitating the analysis of the deviations that occurred. In the future, we expect to incorporate these techniques to build early notifications that warn about the existence of excessive deviations from the process
Notas:Formato de archivo PDF. -- Este documento es producción intelectual de la Facultad de Informática - UNLP (Colección BIPA/Biblioteca)
Descripción Física:1 archivo (355,2 kB)

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