000			01731naa a2200265 a 4500
003			AR-LpUFIB
005			20250311170511.0
008			230201s2021 xx o 000 0 spa d
024	8		_aDIF-M8352 _b8572 _zDIF007644
040			_aAR-LpUFIB _bspa _cAR-LpUFIB
100	1		_aMartínez, Victor
245	1	0	_aProcess mining applied to postal distribution
300			_a1 archivo (355,2 kB)
500			_aFormato de archivo PDF. -- Este documento es producción intelectual de la Facultad de Informática - UNLP (Colección BIPA/Biblioteca)
520			_aProcess 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
534			_aCongreso Argentino de Ciencias de la Computación (27mo : 2021 : Salta, Argentina)
650		4	_aMINERÍA DE DATOS
650		4	_aGESTIÓN DE PROCESOS EMPRESARIALES - BPM
653			_aminería de procesos
653			_adistribución postal
700	1		_aLanzarini, Laura Cristina
700	1		_aRonchetti, Franco
856	4	0	_uhttp://sedici.unlp.edu.ar/handle/10915/130342
942			_cCP
999			_c57417 _d57417