Enhancing process models to improve business performance: a methodology and case studies

M. Dees, M. de Leoni, F. Mannhardt

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

7 Citations (Scopus)
2 Downloads (Pure)

Abstract

Process mining is not only about discovery and conformance checking of business processes. It is also focused on enhancing processes to improve the business performance. While from a business perspective this third main stream is definitely as important as the others if not even more, little research work has been conducted. The existing body of work on process enhancement mainly focuses on ensuring that the process model is adapted to incorporate behavior that is observed in reality. It is less focused on improving the performance of the process. This paper reports on a methodology that creates an enhanced model with an improved performance level. The enhancements of the model limit incorporated behavior to only those parts that do not violate any business rules. Finally, the enhanced model is kept as close to the original model as possible. The practical relevance and feasibility of the methodology is assessed through two case studies. The result shows that the process models improved through our methodology, in comparison with state-of the art techniques, have improved KPI levels while still adhering to the desired prescriptive model.

Original languageEnglish
Title of host publicationOn the Move to Meaningful Internet Systems. OTM 2017 Conferences
Subtitle of host publicationConfederated International Conferences: CoopIS, C&TC, and ODBASE 2017, Rhodes, Greece, October 23-27, 2017, Proceedings, Part I
EditorsH. Panetto, C. Debruyne, W. Gaaloul, M. Papazoglou, A. Paschke, C. Agostino Ardagna, R. Meersman
Place of PublicationDordrecht
PublisherSpringer
Pages232-251
Number of pages20
ISBN (Electronic)978-3-319-69462-7
ISBN (Print)78-3-319-69461-0
DOIs
Publication statusPublished - 2017
EventConfederated International Conference On the Move to Meaningful Internet Systems, OTM 2017 held in conjunction with Conferences on CoopIS, CandTC and ODBASE 2017 - Rhodes, Greece
Duration: 23 Sep 201727 Sep 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10573 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceConfederated International Conference On the Move to Meaningful Internet Systems, OTM 2017 held in conjunction with Conferences on CoopIS, CandTC and ODBASE 2017
Country/TerritoryGreece
CityRhodes
Period23/09/1727/09/17

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