This dissertation is devoted to explain in detail, how traditional approach of Business process management (BPM) discipline can be combined with process mining techniques, in order to make this discipline more efficient and effective. From the beginning of the XXI century, today's companies started to use BPM concepts in their organizations in order to improve the way they arrange to get work done. Business process management, when implemented, is performed iteratively through the execution of different phases that have the aim to make business processes more efficient and effective. However, this approach still relays on a traditional methodology that limits BPM potentialities. A solution that could improve traditional BPM approach, can be find in a novel discipline known as Process mining that tries to extract knowledge from operational process execution log. For the development of this thesis work, it was possible to apply process mining techniques to two cases studies in order to show the real potentiality of Process mining techniques when applied in process discovery, analysis and monitoring phases of the BPM life-cycle. From both the two cases studies, it was possible to put in evidence the opportunities and limitations when process mining techniques are applied in a industrial case. From real process execution data, insights and anomalous process behaviours, that would have rarely been discovered with traditional BPM approach, have been detected and analysed with the main aim to formulate improvement ideas that should be applied at the analysed processes. This thesis in conclusion can be considered as the starting point for future process mining works.
Questa tesi ha l'obiettivo di spiegare in maniera dettagliata come l'approcio tradizionale della disciplina Business process managemnet (BPM) può essere combinato con le tecniche di process mining in modo da rendere questa disciplina più efficiente ed efficace. Dagli inizi del XXI secolo, le aziende di oggi hanno incominciato ad utilizzare i concetti del BPM nelle loro organizzazioni per migliorare il modo in cui vengono svolti i diversi processi. I concetti di Business process management, sono implementati in maniera iterativa attraverso l'esecuzione di diverse fasi, con l'obiettivo di migliorare i processi aziendali rendendoli più efficienti ed efficaci. Tuttavia, questo approccio si basa su una metodologia tradizionale che limita le reali potenzialità del BPM. Al fine di superare tali limitazioni, una soluzione può ritrovarsi nei concetti sviluppati nella disciplina del Process mining, che ha come finalità l'estrazione di informazioni contenute nei log dell'esecuzione di processi operativi. Per lo sviluppo di questo lavoro di tesi, è stato possibile applicare le tecniche di process mining a due casi di studio, con l'obiettivo di evidenziare le potenzialità che queste techiche possono apportare quando implementate nelle fasi di process discovery, analysis e monitoring del BPM life-cycle. Da entrambi i casi di studio è stato possibile mettere in luce le opportunità e le limitazioni che possono sussistere quando le tecniche di process mining sono applicate a veri casi industriali. Da reali dati relativi all'esecuzione di processi industriali, è stato possibile individuare ed analizzare comportamenti anomali e informazioni nascoste, che rararmente sarebbero emerse con un approccio tradizionale. L'obiettivo , in entrambi casi di studio, è stato quello di formulare idee di miglioramneto da applicare ai diversi processi analizzati. Questo elaborato, infine, può considerarsi come una base da cui partire, per futuri lavori nell'ambito del process mining.
Role of process mining in the BPM life-cycle, opportunities and limitations
CIAPPINA, ANTONIO DAVIDE
2018/2019
Abstract
This dissertation is devoted to explain in detail, how traditional approach of Business process management (BPM) discipline can be combined with process mining techniques, in order to make this discipline more efficient and effective. From the beginning of the XXI century, today's companies started to use BPM concepts in their organizations in order to improve the way they arrange to get work done. Business process management, when implemented, is performed iteratively through the execution of different phases that have the aim to make business processes more efficient and effective. However, this approach still relays on a traditional methodology that limits BPM potentialities. A solution that could improve traditional BPM approach, can be find in a novel discipline known as Process mining that tries to extract knowledge from operational process execution log. For the development of this thesis work, it was possible to apply process mining techniques to two cases studies in order to show the real potentiality of Process mining techniques when applied in process discovery, analysis and monitoring phases of the BPM life-cycle. From both the two cases studies, it was possible to put in evidence the opportunities and limitations when process mining techniques are applied in a industrial case. From real process execution data, insights and anomalous process behaviours, that would have rarely been discovered with traditional BPM approach, have been detected and analysed with the main aim to formulate improvement ideas that should be applied at the analysed processes. This thesis in conclusion can be considered as the starting point for future process mining works.File | Dimensione | Formato | |
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https://hdl.handle.net/10589/164634