Defining a general approach for business process analysis that helps to better understand and support quality of business process outputs
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Autor:innen
Autor:in (Körperschaft)
Publikationsdatum
2018
Typ der Arbeit
Master
Studiengang
Sammlung
Typ
11 - Studentische Arbeit
Herausgeber:innen
Herausgeber:in (Körperschaft)
Betreuer:in
Übergeordnetes Werk
Themenheft
DOI der Originalpublikation
Link
Reihe / Serie
Reihennummer
Jahrgang / Band
Ausgabe / Nummer
Seiten / Dauer
Patentnummer
Verlag / Herausgebende Institution
Hochschule für Wirtschaft FHNW
Verlagsort / Veranstaltungsort
Olten
Auflage
Version
Programmiersprache
Abtretungsempfänger:in
Praxispartner:in/Auftraggeber:in
Zusammenfassung
Many organizations tend to use Workflow-Management Systems (WfMS) to increase efficiency and quality of business processes. If processes deviate from acceptable behaviour, they become exceptional. Process owners often know about occurring exceptions, but they often do not have the time and the know-how to define improvement measures that would reduce the occurrence of workflow exceptions. The goal of this study was to define a general approach for business process analysis that helps to support quality of business process outputs. The output of the approach were improvement measures that, when applied to a specific business process, should have a positive impact on process quality by reducing occurring workflow exceptions. This thesis is based on data obtained from the Swiss National Bank’s (SNB) introduction process for new employees. The analysis of data combined with interviews showed that several exceptions with different characteristics occur during process runtime. To identify different exception origins, a data model out of WfMS data enriched with contextual information and constructed attributes has been defined. The data model has been developed using the CRISP-DM reference model of (Chapman et al., 2000). Afterwards learning algorithms have been applied to define a data model to identify data patterns that lead to exceptions. Resulting data patterns have been analysed to derive improvement measures. Based on made experiences a general approach to improve process quality has been defined.
Schlagwörter
Fachgebiet (DDC)
330 - Wirtschaft
Veranstaltung
Startdatum der Ausstellung
Enddatum der Ausstellung
Startdatum der Konferenz
Enddatum der Konferenz
Datum der letzten Prüfung
ISBN
ISSN
Sprache
Englisch
Während FHNW Zugehörigkeit erstellt
Ja
Zukunftsfelder FHNW
Publikationsstatus
Begutachtung
Open Access-Status
Lizenz
Zitation
NEUENSCHWANDER, Tobias, 2018. Defining a general approach for business process analysis that helps to better understand and support quality of business process outputs. Olten: Hochschule für Wirtschaft FHNW. Verfügbar unter: https://irf.fhnw.ch/handle/11654/39892