Process Mining Applied to Postal Distribution

dc.creatorMartínez, Victor
dc.creatorLanzarini, Laura Cristina
dc.creatorRonchetti, Franco
dc.date2021-10
dc.date2021
dc.date2022-02-02T17:32:56Z
dc.date.accessioned2023-07-15T05:22:16Z
dc.date.available2023-07-15T05:22:16Z
dc.identifierhttp://sedici.unlp.edu.ar/handle/10915/130342
dc.identifierisbn:978-987-633-574-4
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7473108
dc.descriptionProcess 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.
dc.descriptionWorkshop: WBDMD - Base de Datos y Minería de Datos
dc.descriptionRed de Universidades con Carreras en Informática
dc.formatapplication/pdf
dc.format271-280
dc.languageen
dc.rightshttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rightsCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.subjectCiencias Informáticas
dc.subjectProcess Mining
dc.subjectData mining
dc.subjectPostal Distribution
dc.subjectPostal Processes
dc.subjectBusiness process management
dc.titleProcess Mining Applied to Postal Distribution
dc.typeObjeto de conferencia
dc.typeObjeto de conferencia


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