Sub-process discovery: opportunities for process diagnostics

Raykenler Yzquierdo Herrera, Rogelio Silverio Castro, Manuel Lazo Cortes, Sub-process discovery: opportunities for process diagnostics

Business Technology

Agenda

1 Process Mining

2 Process diagnostics

3 The proposal

4 Proposal application

2

Introduction. Process Mining

Event logs
Start

Register order

Prepare
shipment

(Re)send bill

Ship goods

Contact
Receive payment
customer

Archiv e order

End

Mining techniques

4 Ana Karla Alves de Medeiros and Van der Aalst

Process Mining. Discovery

Event logs Process Model
Start

Register order

Prepare
shipment

(Re)send bill

Ship goods

Contact
Receive payment
customer

Archiv e order

Mining Techniques End

Most business processes in real life are not strictly ruled by the
information systems on the background

5

Diagnostic questions

 What is the most common (likely) process behavior that
is executed?
 Where do process instances deviate and what do they
have in common?
 Are there any common patterns of execution in the
traces?
 What are the contexts in which an activity or a set of
activities is executed in the event log?
 What are the process instances that share/capture a
desired behavior either exactly or approximately?
 Are there particular patterns in the process?

6 R. P. J. Chandra Bose, W. M. P. van der Aalst

Process diagnostics

Event logs

Holistic view of the process
7 R. P. J. Chandra Bose, W. M. P. van der Aalst

Process diagnostics. Techniques.

Dotted chart analysis Shortcomings

Trace alignment

Conformance checking

Fuzzy miner

Tandem arrays

Fuzzy Clustering
8 Yzquierdo R. (2012).

1. Trace alignment

Matrix A

Event Log

10 R. P. J. Chandra Bose, W. M. P. van der Aalst

2. Pre-processing aligned traces

 Incomplete cases
 Noise
 To assure each column is occupied by a single task

11

3. Determining the tree of building blocks

12

3. Determining the tree of building blocks

13

3. Determining the tree of building blocks

Sequence

14

3. Determining the tree of building blocks

Sequence

XOR Parallelism

15

Tree of building blocks

Parallelism

18

Tree of building blocks

Hidden sequence

20

Applying the proposal

National Identification Unique System (SUIN)
Module: Management of Roles
Cases: 31
Events: 804
Event classes: 52
Event types: 3

21

Applying the proposal

National Identification Unique System (SUIN)
Module: Managing Roles Are there significant
Cases: 31 failures in this
Events: 804 process?
Event classes: 52 What are the
causes?
Event types: 3

22

Applying the proposal

How the process end

Diagnosis:
• Problems: Edit Rol and Delete Rol events
• Misuse of the system by an administrator

Discussion

 The technique developed allows detecting
interesting patterns and provides a holistic view
of the process
 The proposal also allows detection of sub-
processes that compose the analyzed process
 The detected sub-processes enclose anomalies
and interesting patterns
 It combines the cases and activities occurrence
frequency analysis with the staged analysis from
correctly structured sequence events on sub-
processes

25

Discussion

 An important contribution is that the anomalies
detected can be framed in a context.

 The developed tool was also applied to analyze
the process “Check Management” in the bar
Gulf View and the restaurant Aguiar, both places
belonging to the National Hotel (Cuba). Main
characteristics of the process for both event
logs, which supported the auditing of the
process, were identified

26

Conclusion

 Process diagnostics can be useful for detecting
patterns and anomalies in the analyzed process
 This proposal allows to segment the aligned
traces and to form representative groups of sub-
processes that compose the analyzed process
 The obtained tree of building blocks reflects the
hierarchical organization that is established
between the sub-processes, considering main
execution patterns
 The technique developed is a complement of
the techniques developed in Process
diagnostics
27

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