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Process mining applied to postal distribution

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Martínez, Victor

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Material type: Article

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Summary: 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

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Item type	Home library	Collection	Call number	URL	Status	Date due	Barcode
Capítulo de libro	Biblioteca de la Facultad de Informática	Biblioteca digital	A1211 (Browse shelf(Opens below))	Link to resource	No corresponde

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Previous	A1208 Predicción del impacto de la vacunación : una aproximación desde la simulación	A1209 Calidad de datos aplicada a la base de datos abierta de casos registrados de COVID-19	A1210 Implementación técnica de una arquitectura orientada a integrar conocimiento externo heterogéneo en motor de reglas	A1211 Process mining applied to postal distribution	A1212 Experiencias en el uso de TIC y rampas digitales en la enseñanza de informática a alumnos de educación terciaria con discapacidad visual o auditiva	A1213 Aportes para pensar la educación en pandemia desde la accesibilidad	A1214 Catalogación de aplicaciones realidad aumentada para enseñanza-aprendizaje	Next

Formato de archivo PDF. -- Este documento es producción intelectual de la Facultad de Informática - UNLP (Colección BIPA/Biblioteca)

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

Congreso Argentino de Ciencias de la Computación (27mo : 2021 : Salta, Argentina)