ABSTRACT
This study analyzes the benefits and potentials of process mining for the automotive supplier industries product development processes. The exploration of process mining consists of developing an understanding of the process mining in relation to other scientific disciplines and the types of process mining. The types, benefits, potentials, and success factors of real-world process mining applications are considered and compared. By assessing the data structures and tables that contain historical information about business operations a framework for the practical application of process mining is formed. After extracting this data and subjecting it to clean up and transformation activities, it is analyzed using the software provider Celonis. In this analysis, assumptions about PMs value contribution and benefits for the product development process in the automotive supplier industry are made. Subsequently these assumptions are discussed in detail with a variety of experts in the field. This study concludes the value contribution of process mining and the potentials as well as derailing factors. The relevance of methods and business information system specific components are assessed as well.
- PETERS, RALF/NAUROTH, MARTIN: Process-Mining: Geschäftsprozesse: smart, schnell und einfach, Springer Gabler, Wiesbaden 2019, p. 3.Google Scholar
- VAN DER AALST, WIL: Academic View: Development of the Process Mining Discipline, in: REINKEMEYER LARS: Process Mining in Action: Principles, Use Cases and Outlook, Springer Nature Switzerland, Cham 2020, p 187-188.Google Scholar
- REINKEMEYER LARS: Process Mining in Action: Principles, Use Cases and Outlook, Springer Nature Switzerland, Cham 2020, p. 195.Google Scholar
- VAN DER AALST, WIL: Academic View: Development of the Process Mining Discipline, in: REINKEMEYER LARS: Process Mining in Action: Principles, Use Cases and Outlook, Springer Nature Switzerland, Cham 2020, p 195.Google Scholar
- BRAESS, HANS-HERMANN/SEIFFERT, URLICH (Hrsg.): Vieweg Handbuch Kraftfahr-zeugtechnik, Vieweg+Teubner Verlag, Wiesbaden 2011, p. 881.Google Scholar
- STEINHORST, ULRICH: Entwicklung eines Instrumentariums zur Gestaltung von System-partnerschaften im Produktentstehungsprozess, Springer Fachmedien, Wiesbaden 2005, p. 59-60.Google Scholar
- VAN DER AALST, RALF/NAUROTH, MARTIN: Process-Mining: Geschäftsprozesse: smart, schnell und einfach, Springer Gabler, Wiesbaden 2019, p. 25-28.Google Scholar
- VAN DER AALST, RALF/NAUROTH, MARTIN: Process-Mining: Geschäftsprozesse: smart, schnell und einfach, Springer Gabler, Wiesbaden 2019, p. 28-30.Google Scholar
- VAN DER AALST, WIL: Process Mining: Discovery, Conformance and Enhancement of Business Processes, Springer, Heidelberg, 2011, p. 10, 155, 232, 281.Google Scholar
- CELONIS: The Ultimate Guide to Process Mining, https://www.celonis.com/de/ultimate-guide/, [02.03.2022]Google Scholar
- PETERS, RALF/NAUROTH, MARTIN: Process-Mining: Geschäftsprozesse: smart, schnell und einfach, Springer Gabler, Wiesbaden 2019, p. 6.Google Scholar
- FERNANDEZ-LLATAS, CARLOS: Interactive Process Mining in Healthcare, Springer Na-ture Switzerland, Cham, 2021, p. 7Google Scholar
- WERNER, MICHAEL/GHERKE, NICK: Multilevel Process Mining for Financial Audits, in: IEEE Transactions on Services Computing, Volume 8, Issue 6, 2015, p. 820.Google ScholarCross Ref
- YANG WAN-SHIOU/HWANG, SAN-YIH: A process-mining framework for the detection of healthcare fraud and abuse, in: Expert Systems with Applications, Volume 31, Issue 1, 2006, p. 56.Google ScholarCross Ref
- DELOITTE, Delivering Value with Process Analytics: Process Mining adoption and success factors, https://www.deloitte-mail.de/custloads/141631293/md_1841465.pdf, retrieval date 13.03.2022Google Scholar
- SIGNAVIO: Studie Process Mining & RPA 2019 – Signavio, https://cdn.signavio.com/uploads/2019/06/IDG-Studie2019-2-PM_Web_einzel.pdf, retrieval date 22.03.2022Google Scholar
- AGUIRRE, SANTIAGO/PARRA, CARLOS/SEPÚLVEDA, MAROCS: Methodological proposal for process mining projects, in: International Journal Business Process Integration and Management, Volume 8, Issue 2, 2017, p. 111.Google Scholar
- DE WEERDT, JOCHEN/SCHNUPP, ANNELIS/VANDERLOOCK, AN/BAESENS, BART: Process Mining for the multi-faceted analysis of business processes—A case study in a financial services organization, in Computers in Industry, Volume 64, Issue 1, 2012, p. 66.Google Scholar
- PROCESSMINING: Software, http://www.processmining.org/software.html#software. Retrieval date 04.04.2022Google Scholar
- Everest Group, Process Mining PEAK Matrix 2020. https://www2.everestgrp.com/reportaction/EGR-2020-38-R-3576/Marketing. Retrieval date 24.03.2022Google Scholar
- CELONIS: Celonis named a Leader on Everest Group's PEAK Matrix® for Process Mining, https://www.celonis.com/everest-peak/, retrieval date 24.03.2022.Google Scholar
- MINIT: Everest Group PEAK Matrix® for Process Mining 2021, https://www.minit.io/en/everest-peak-matrix-report, retrieval date 24.03.2022.Google Scholar
- SOFTWARE AG: Everest Group's PEAK Matrix® for Process Mining Technology Vendors - 2021, https://www.softwareag.com/en_corporate/resources/asset/ar/business-process-transformation/process-mining-vendors-everest-report.html, retrieval date 24.03.2022.Google Scholar
- UIPATH: Everest Group PEAK Matrix® for Process Mining Technology Vendors 2021, https://www.uipath.com/de/resources/automation-analyst-reports/everest-peak-matrix-process-mining, retrieval date 24.03.2022.Google Scholar
- DELOITTE, Delivering Value with Process Analytics: Process Mining adoption and success factors, https://www.deloitte-mail.de/custloads/141631293/md_1841465.pdf, retrieval date 13.03.2022.Google Scholar
- VAN ECK, MAIKEL/LU, XIXI/LEEMANS, SANDER/ VAN DER AALST, WILL: PM2: A Process Mining Project Methodology, in: ZDRAVKOVIC, JELENA/KRIKOVA, MARITE/JOHANNESSON, PAUL (Hrsg.): Advanced Information Systems Engineering, 27th International Conference, Springer, Stockholm 2015, S.297-313.Google Scholar
- VAN DER AALST, WIL: Process Mining: Discovery, Conformance and Enhancement of Business Processes, Springer, Heidelberg, 2011. p. 95-99.Google Scholar
- DANIEL, FLORIAN/BERKAOUI, KAMEL/DUSTDAR, SCHAHRAM: Business Process Management Workshops: BPM 2011 International Workshops, Springer, Clermont-Ferrand 2012. P. 175.Google Scholar
- BOGNER, ALEXANDER/LITTIG, BEATE/MENZ, WOLFGANG: Interviews mit Experten: Eine praxisorientiere Einführung, Springer Fachmedien, Wiesbaden, 2014. p. 24-25.Google Scholar
Index Terms
- Process-Mining Potentials Alongside the Product Development Process in the Auto-motive Supplier Industry
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