Lifecycle-Based Process Performance Analysis

Bart F.A. Hompes; Wil M.P. van der Aalst

doi:10.1007/978-3-030-02610-3_19

Lifecycle-Based Process Performance Analysis

Bart F.A. Hompes, Wil M.P. van der Aalst

Information Systems WSK&I

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

4 Citations (Scopus)

Abstract

Many business processes are supported by information systems that record their execution. Process mining techniques extract knowledge and insights from such process execution data typically stored in event logs or streams. Most process mining techniques focus on process discovery (the automated extraction of process models) and conformance checking (aligning observed and modeled behavior). Existing process performance analysis techniques typically rely on ad-hoc definitions of performance. This paper introduces a novel comprehensive approach to process performance analysis from event data. Our generic technique centers around business artifacts, key conceptual entities that behave according to state-based transactional lifecycle models. We present a formalization of these concepts as well as a structural approach to calculate and monitor process performance from event data. The approach has been implemented in the open source process mining tool ProM and its applicability has been evaluated using public real-life event data.

Original language	English
Title of host publication	On the Move to Meaningful Internet Systems. OTM 2018 Conferences - Confederated International Conferences
Subtitle of host publication	CoopIS, C and TC, and ODBASE 2018, Proceedings
Editors	Henderik A. Proper, Robert Meersman, Claudio Agostino Ardagna, Hervé Panetto, Christophe Debruyne, Dumitru Roman
Place of Publication	Cham
Publisher	Springer
Pages	336-353
Number of pages	18
ISBN (Electronic)	978-3-030-02610-3
ISBN (Print)	978-3-030-02609-7
DOIs	https://doi.org/10.1007/978-3-030-02610-3_19
Publication status	Published - 22 Oct 2018
Event	Confederated International Conferences: Cooperative Information Systems, CoopIS 2018, Ontologies, Databases, and Applications of Semantics, ODBASE 2018, and Cloud and Trusted Computing, C and TC, held as part of OTM 2018 - Valletta, Malta Duration: 22 Oct 2018 → 26 Oct 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11229 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	Confederated International Conferences: Cooperative Information Systems, CoopIS 2018, Ontologies, Databases, and Applications of Semantics, ODBASE 2018, and Cloud and Trusted Computing, C and TC, held as part of OTM 2018
Country	Malta
City	Valletta
Period	22/10/18 → 26/10/18

Keywords

Business artifacts
Performance analysis
Process mining
Transactional lifecycle models

Access to Document

10.1007/978-3-030-02610-3_19

Link to publication in Scopus

Fingerprint Dive into the research topics of 'Lifecycle-Based Process Performance Analysis'. Together they form a unique fingerprint.

Cite this

Hompes, B. F. A., & van der Aalst, W. M. P. (2018). Lifecycle-Based Process Performance Analysis. In H. A. Proper, R. Meersman, C. A. Ardagna, H. Panetto, C. Debruyne, & D. Roman (Eds.), On the Move to Meaningful Internet Systems. OTM 2018 Conferences - Confederated International Conferences: CoopIS, C and TC, and ODBASE 2018, Proceedings (pp. 336-353). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11229 LNCS). Springer. https://doi.org/10.1007/978-3-030-02610-3_19

Hompes, Bart F.A. ; van der Aalst, Wil M.P. / Lifecycle-Based Process Performance Analysis. On the Move to Meaningful Internet Systems. OTM 2018 Conferences - Confederated International Conferences: CoopIS, C and TC, and ODBASE 2018, Proceedings. editor / Henderik A. Proper ; Robert Meersman ; Claudio Agostino Ardagna ; Hervé Panetto ; Christophe Debruyne ; Dumitru Roman. Cham : Springer, 2018. pp. 336-353 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{44d549d9448d4867aa12cc7bb8ff1f32,

title = "Lifecycle-Based Process Performance Analysis",

abstract = "Many business processes are supported by information systems that record their execution. Process mining techniques extract knowledge and insights from such process execution data typically stored in event logs or streams. Most process mining techniques focus on process discovery (the automated extraction of process models) and conformance checking (aligning observed and modeled behavior). Existing process performance analysis techniques typically rely on ad-hoc definitions of performance. This paper introduces a novel comprehensive approach to process performance analysis from event data. Our generic technique centers around business artifacts, key conceptual entities that behave according to state-based transactional lifecycle models. We present a formalization of these concepts as well as a structural approach to calculate and monitor process performance from event data. The approach has been implemented in the open source process mining tool ProM and its applicability has been evaluated using public real-life event data.",

keywords = "Business artifacts, Performance analysis, Process mining, Transactional lifecycle models",

author = "Hompes, {Bart F.A.} and {van der Aalst}, {Wil M.P.}",

year = "2018",

month = oct,

day = "22",

doi = "10.1007/978-3-030-02610-3_19",

language = "English",

isbn = "978-3-030-02609-7",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer",

pages = "336--353",

editor = "Proper, {Henderik A.} and Robert Meersman and Ardagna, {Claudio Agostino} and Herv{\'e} Panetto and Christophe Debruyne and Dumitru Roman",

booktitle = "On the Move to Meaningful Internet Systems. OTM 2018 Conferences - Confederated International Conferences",

address = "Germany",

note = "Confederated International Conferences: Cooperative Information Systems, CoopIS 2018, Ontologies, Databases, and Applications of Semantics, ODBASE 2018, and Cloud and Trusted Computing, C and TC, held as part of OTM 2018 ; Conference date: 22-10-2018 Through 26-10-2018",

}

Hompes, BFA & van der Aalst, WMP 2018, Lifecycle-Based Process Performance Analysis. in HA Proper, R Meersman, CA Ardagna, H Panetto, C Debruyne & D Roman (eds), On the Move to Meaningful Internet Systems. OTM 2018 Conferences - Confederated International Conferences: CoopIS, C and TC, and ODBASE 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11229 LNCS, Springer, Cham, pp. 336-353, Confederated International Conferences: Cooperative Information Systems, CoopIS 2018, Ontologies, Databases, and Applications of Semantics, ODBASE 2018, and Cloud and Trusted Computing, C and TC, held as part of OTM 2018, Valletta, Malta, 22/10/18. https://doi.org/10.1007/978-3-030-02610-3_19

Lifecycle-Based Process Performance Analysis. / Hompes, Bart F.A.; van der Aalst, Wil M.P.

On the Move to Meaningful Internet Systems. OTM 2018 Conferences - Confederated International Conferences: CoopIS, C and TC, and ODBASE 2018, Proceedings. ed. / Henderik A. Proper; Robert Meersman; Claudio Agostino Ardagna; Hervé Panetto; Christophe Debruyne; Dumitru Roman. Cham : Springer, 2018. p. 336-353 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11229 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Lifecycle-Based Process Performance Analysis

AU - Hompes, Bart F.A.

AU - van der Aalst, Wil M.P.

PY - 2018/10/22

Y1 - 2018/10/22

N2 - Many business processes are supported by information systems that record their execution. Process mining techniques extract knowledge and insights from such process execution data typically stored in event logs or streams. Most process mining techniques focus on process discovery (the automated extraction of process models) and conformance checking (aligning observed and modeled behavior). Existing process performance analysis techniques typically rely on ad-hoc definitions of performance. This paper introduces a novel comprehensive approach to process performance analysis from event data. Our generic technique centers around business artifacts, key conceptual entities that behave according to state-based transactional lifecycle models. We present a formalization of these concepts as well as a structural approach to calculate and monitor process performance from event data. The approach has been implemented in the open source process mining tool ProM and its applicability has been evaluated using public real-life event data.

AB - Many business processes are supported by information systems that record their execution. Process mining techniques extract knowledge and insights from such process execution data typically stored in event logs or streams. Most process mining techniques focus on process discovery (the automated extraction of process models) and conformance checking (aligning observed and modeled behavior). Existing process performance analysis techniques typically rely on ad-hoc definitions of performance. This paper introduces a novel comprehensive approach to process performance analysis from event data. Our generic technique centers around business artifacts, key conceptual entities that behave according to state-based transactional lifecycle models. We present a formalization of these concepts as well as a structural approach to calculate and monitor process performance from event data. The approach has been implemented in the open source process mining tool ProM and its applicability has been evaluated using public real-life event data.

KW - Business artifacts

KW - Performance analysis

KW - Process mining

KW - Transactional lifecycle models

UR - http://www.scopus.com/inward/record.url?scp=85055855139&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-02610-3_19

DO - 10.1007/978-3-030-02610-3_19

M3 - Conference contribution

SN - 978-3-030-02609-7

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 336

EP - 353

BT - On the Move to Meaningful Internet Systems. OTM 2018 Conferences - Confederated International Conferences

A2 - Proper, Henderik A.

A2 - Meersman, Robert

A2 - Ardagna, Claudio Agostino

A2 - Panetto, Hervé

A2 - Debruyne, Christophe

A2 - Roman, Dumitru

PB - Springer

CY - Cham

T2 - Confederated International Conferences: Cooperative Information Systems, CoopIS 2018, Ontologies, Databases, and Applications of Semantics, ODBASE 2018, and Cloud and Trusted Computing, C and TC, held as part of OTM 2018

Y2 - 22 October 2018 through 26 October 2018

ER -

Hompes BFA , van der Aalst WMP. Lifecycle-Based Process Performance Analysis. In Proper HA, Meersman R, Ardagna CA, Panetto H, Debruyne C, Roman D, editors, On the Move to Meaningful Internet Systems. OTM 2018 Conferences - Confederated International Conferences: CoopIS, C and TC, and ODBASE 2018, Proceedings. Cham: Springer. 2018. p. 336-353. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-030-02610-3_19