PROCESS MINING : REVIEW AND CASE STUDY

Abstract

The process mining is defined as a research “to discover, monitor and improve real process (i.e., not
assumed processes) by extracting knowledge from event logs readily available in today’s system” [P. van der Aalst]. Discovering a process models by event logs and by actual process monitoring can be seen as a research field belonging to Big Data Analysis oriented to process development. In fact, process mining aims to design a Process Model (Discovery Mining), by identifying the differences between a real process and a model (Conformance Checking), to extend and improve the devised process model (Enhancement). This work shows the state of the art of Process Mining considering the potentiality of data retrieval on Enterprise Resource Planning (ERP) Systems (e.g. Microsoft Dynamics NAV) as well as how the Process Mining performances can be enhanced by using Semantic Networks. In a case study on ERP Systems, we show an application of Process Mining related to a Maintenance Extinguishers process.
The considered process involves different entities: customers, maintainers, administrative employees, fleet and park of devices for fire protection. The interactions among these entities determine the process dynamics, that can be identified by process mining analysis of the ERP systems. Due to the analysis of logs and records (e.g. worktops, invoices) on business management systems, it has been possible analyzing the process of maintainers and define a theoretical model describing the real process of Maintenance Extinguishers (Discovery Mining). The parallel analysis of some questionnaires compiled by maintainers about their tasks and the fieldwork analysis of their activities have permitted the real process representation.
The comparison between the process model and the real process (Conformance Checking) have allowed identifying some process discrepancies, inconsistencies and inefficiencies and defining some improvement actions, aimed at quality development of the business process.

Full text

PROCESS MINING : REVIEW
AND CASE STUDY
Choice and preference
analysis for quality
improvement and seminar
on experimentation
10/07/2015 - BARI

PROCESS MINING
PROCESS MINING is as a research “to discover, monitor
and improve real process (i.e., not assumed processes) by
extracting knowledge from event logs readily available in
today’s system” [W. van der Aalst]

PROCESS MINING STEPS
Design a Process Model (Discovery Mining)
Identify the differences between a real process and a model (Conformance Checking)
Process mining aims to
Extend and improve the devised process model (Enhancement)
[W. van der Aalst]

STATE OF THE ART

SCOPE OF THE WORK
This work shows the potentiality of
Process Mining about data retrieval on
Enterprise Resource Planning (ERP)
Systems (e.g. Microsoft Dynamics NAV).

MICROSOFT DYNAMIC NAV
Immagini del NAV di Sudelettra

TOOLS FOR PROCESS MINING
For data retrieval from log, data mining
tools can be useful to knowlegde
discovery
Weka
ProM
RStudio

EXAMPLE OF PROCESS MINING
Attributi del Database
Distribuzione dei valori di un campo
rispetto ad un altro

EXAMPLE OF PROCESS MINING
DELETE
INSERT
EDIT
us15 us8 us28
TREE EXTRACTION on the relation USER/OPERATION

EXAMPLE OF PROCESS MINING
TREE EXTRACTION on the relation USER/TABLE/OPERATION

CASE OF STUDY :
Maintenance Extinguishers process
SCENARIO
G. Gaudiano
M. Colucci
T. Minerva

DISCOVERY MINING
From Eugenio/PassPartout -> LOG
Questionary -> t
On real case

DISCOVERED MODEL
KIND OF OPERATION
NUMBER OF CLIENTS
NUMBER OF CITIES
TRAFFIC
PARK AVAILABILITY
WEATHER
TIME FOR
CONSULTING
AND
SELLING

CONFORMANCE CHECKING
0
23
45
68
90
113
Insufficiente
conforme
RENDIMENTO TOTALE
SQUADRA

ENHANCEMENT
“U” distribution can be due to:
PDL Overload
Underestimation of work plans given by the coordinator
Wrong PDL

REFERENCES
For more information
and dataset visit
http://www.researchgate.net/profile/Maria_Dalessandro2
http://www.researchgate.net/publication/278685290_PROCESS_MINING_
_REVIEW_AND_CASE_STUDY