Process Mining Applied to Postal Distribution

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...

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Autores principales: Martínez, Víctor, Lanzarini, Laura Cristina, Ronchetti, Franco
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2021
Materias:
Ciencias Informáticas
Process Mining
Data mining
Postal Distribution
Postal Processes
Business process management
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/130342
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-130342
record_format dspace
spelling I19-R120-10915-1303422023-12-01T12:40:05Z http://sedici.unlp.edu.ar/handle/10915/130342 Process Mining Applied to Postal Distribution Martínez, Víctor Lanzarini, Laura Cristina Ronchetti, Franco 2021-10 2021 2022-02-02T17:32:56Z en Ciencias Informáticas Process Mining Data mining Postal Distribution Postal Processes Business process management 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. Workshop: WBDMD - Base de Datos y Minería de Datos Red de Universidades con Carreras en Informática Objeto de conferencia Objeto de conferencia http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf 271-280
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Process Mining
Data mining
Postal Distribution
Postal Processes
Business process management
spellingShingle Ciencias Informáticas
Process Mining
Data mining
Postal Distribution
Postal Processes
Business process management
Martínez, Víctor
Lanzarini, Laura Cristina
Ronchetti, Franco
Process Mining Applied to Postal Distribution
topic_facet Ciencias Informáticas
Process Mining
Data mining
Postal Distribution
Postal Processes
Business process management
description 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.
format Objeto de conferencia
Objeto de conferencia
author Martínez, Víctor
Lanzarini, Laura Cristina
Ronchetti, Franco
author_facet Martínez, Víctor
Lanzarini, Laura Cristina
Ronchetti, Franco
author_sort Martínez, Víctor
title Process Mining Applied to Postal Distribution
title_short Process Mining Applied to Postal Distribution
title_full Process Mining Applied to Postal Distribution
title_fullStr Process Mining Applied to Postal Distribution
title_full_unstemmed Process Mining Applied to Postal Distribution
title_sort process mining applied to postal distribution
publishDate 2021
url http://sedici.unlp.edu.ar/handle/10915/130342
work_keys_str_mv AT martinezvictor processminingappliedtopostaldistribution
AT lanzarinilauracristina processminingappliedtopostaldistribution
AT ronchettifranco processminingappliedtopostaldistribution
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