Using Process Mining to Analyze and Improve Process Flexibility (Position Paper)

Wil van der Aalst, Christian Günther, Jan Recker, M.U. Reichert

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

15 Citations (Scopus)
19 Downloads (Pure)

Abstract

Contemporary information systems struggle with the requirement to provide flexibility and process support while still enforcing some degree of control. Workflow management systems are typically considered as too restrictive while groupware applications (e.g., e-mail) tend to offer hardly any process support or control at all. Therefore, we consider adaptive process management systems that allow for runtime changes at both process type and process instance level (e.g., a system like ADEPT). Assuming that these process changes are recorded explicitly, we discuss how this information can be used as input for process mining. So far, process mining has only be applied to operational processes, i.e., knowledge is extracted from event logs (process discovery), or event logs are compared with some a-priori model (conformance checking). In this paper, we propose to apply process mining to change logs, i.e., we not only analyze the operational processes but also the adaptations made at the process type or process instance level. Using such analysis, we envisage to be able to better support flexibility by understanding when and why process changes become necessary.
Original languageEnglish
Title of host publicationBPMDS'06: Seventh Workshop on Business Process Modeling, Development, and Support
Subtitle of host publicationFlexibility and the Ways to Achieve It
EditorsGil Regev, Pnina Soffer, Rainer Schmidt
PublisherCEUR
Pages168-177
Number of pages10
Publication statusPublished - Jun 2006
EventSeventh Workshop on Business Process Modeling, Development, and Support, BPMDS 2006: Flexibiltiy and the Ways to Achieve It - Luxembourg, Luxembourg
Duration: 5 Jun 20069 Jun 2006
Conference number: 7

Publication series

NameCEUR Workshop Proceedings
PublisherCEUR-WS
Volume236
ISSN (Print)1613-0073

Workshop

WorkshopSeventh Workshop on Business Process Modeling, Development, and Support, BPMDS 2006
Abbreviated titleBPMDS
CountryLuxembourg
CityLuxembourg
Period5/06/069/06/06

Fingerprint

Groupware
Information systems

Keywords

  • SCS-Services
  • IR-66220
  • METIS-238124
  • EWI-6215

Cite this

van der Aalst, W., Günther, C., Recker, J., & Reichert, M. U. (2006). Using Process Mining to Analyze and Improve Process Flexibility (Position Paper). In G. Regev, P. Soffer, & R. Schmidt (Eds.), BPMDS'06: Seventh Workshop on Business Process Modeling, Development, and Support: Flexibility and the Ways to Achieve It (pp. 168-177). (CEUR Workshop Proceedings; Vol. 236). CEUR.
van der Aalst, Wil ; Günther, Christian ; Recker, Jan ; Reichert, M.U. / Using Process Mining to Analyze and Improve Process Flexibility (Position Paper). BPMDS'06: Seventh Workshop on Business Process Modeling, Development, and Support: Flexibility and the Ways to Achieve It. editor / Gil Regev ; Pnina Soffer ; Rainer Schmidt. CEUR, 2006. pp. 168-177 (CEUR Workshop Proceedings).
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abstract = "Contemporary information systems struggle with the requirement to provide flexibility and process support while still enforcing some degree of control. Workflow management systems are typically considered as too restrictive while groupware applications (e.g., e-mail) tend to offer hardly any process support or control at all. Therefore, we consider adaptive process management systems that allow for runtime changes at both process type and process instance level (e.g., a system like ADEPT). Assuming that these process changes are recorded explicitly, we discuss how this information can be used as input for process mining. So far, process mining has only be applied to operational processes, i.e., knowledge is extracted from event logs (process discovery), or event logs are compared with some a-priori model (conformance checking). In this paper, we propose to apply process mining to change logs, i.e., we not only analyze the operational processes but also the adaptations made at the process type or process instance level. Using such analysis, we envisage to be able to better support flexibility by understanding when and why process changes become necessary.",
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van der Aalst, W, Günther, C, Recker, J & Reichert, MU 2006, Using Process Mining to Analyze and Improve Process Flexibility (Position Paper). in G Regev, P Soffer & R Schmidt (eds), BPMDS'06: Seventh Workshop on Business Process Modeling, Development, and Support: Flexibility and the Ways to Achieve It. CEUR Workshop Proceedings, vol. 236, CEUR, pp. 168-177, Seventh Workshop on Business Process Modeling, Development, and Support, BPMDS 2006, Luxembourg, Luxembourg, 5/06/06.

Using Process Mining to Analyze and Improve Process Flexibility (Position Paper). / van der Aalst, Wil; Günther, Christian; Recker, Jan; Reichert, M.U.

BPMDS'06: Seventh Workshop on Business Process Modeling, Development, and Support: Flexibility and the Ways to Achieve It. ed. / Gil Regev; Pnina Soffer; Rainer Schmidt. CEUR, 2006. p. 168-177 (CEUR Workshop Proceedings; Vol. 236).

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

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AB - Contemporary information systems struggle with the requirement to provide flexibility and process support while still enforcing some degree of control. Workflow management systems are typically considered as too restrictive while groupware applications (e.g., e-mail) tend to offer hardly any process support or control at all. Therefore, we consider adaptive process management systems that allow for runtime changes at both process type and process instance level (e.g., a system like ADEPT). Assuming that these process changes are recorded explicitly, we discuss how this information can be used as input for process mining. So far, process mining has only be applied to operational processes, i.e., knowledge is extracted from event logs (process discovery), or event logs are compared with some a-priori model (conformance checking). In this paper, we propose to apply process mining to change logs, i.e., we not only analyze the operational processes but also the adaptations made at the process type or process instance level. Using such analysis, we envisage to be able to better support flexibility by understanding when and why process changes become necessary.

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van der Aalst W, Günther C, Recker J, Reichert MU. Using Process Mining to Analyze and Improve Process Flexibility (Position Paper). In Regev G, Soffer P, Schmidt R, editors, BPMDS'06: Seventh Workshop on Business Process Modeling, Development, and Support: Flexibility and the Ways to Achieve It. CEUR. 2006. p. 168-177. (CEUR Workshop Proceedings).