IDEAS home Printed from https://ideas.repec.org/h/zbw/hiclch/228925.html
   My bibliography  Save this book chapter

Product lifecycle optimization by application of process mining

In: Data Science and Innovation in Supply Chain Management: How Data Transforms the Value Chain. Proceedings of the Hamburg International Conference of Logistics (HICL), Vol. 29

Author

Listed:
  • Meßner, Marco
  • Dirnberger, Johannes

Abstract

Purpose: Active product life cycle management contributes to supply chain optimization. However, in nowadays industry the high number of variants and backward loops complicate tracing the entire product lifecycle in an ERP system. Consequently, product lifecycle and corresponding process-organizational optimizations are difficult to implement using established analysis. The aim is to challenge process mining as an alternative to address these aspects. Methodology: This paper, therefore, applies process mining to the ERP data of a component manufacturer in the metalworking industry. For this purpose, optimization potentials are derived from a literature research and subsequently validated by the application of process mining. Thereby, the data sample comprises 202 products with 15,000 corresponding activities, which were accumulated in the period 2017 to 2019. Findings: Process mining reveals the product lifecycles and allows to take different analysis perspectives, such as a market or product category view. Firstly, potentials in a variant-driven business for PLM will be elaborated. Secondly, process-organizational recommendations for the product management are developed. Thus, this paper offers a concrete approach to mapping and analyzing the product lifecycle by application of process mining. Originality: On the one hand, current analysis tools used in ERP systems merely assess the products actual status. On the other hand, PLM systems are regarded as costly due to the complexity but also a continuous process view is not its main focus. Nevertheless, there is little literature on alternatively using process mining in this context.

Suggested Citation

  • Meßner, Marco & Dirnberger, Johannes, 2020. "Product lifecycle optimization by application of process mining," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Data Science and Innovation in Supply Chain Management: How Data Transforms the Value Chain. Proceedings of the Hamburg International Conference of Lo, volume 29, pages 295-315, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
  • Handle: RePEc:zbw:hiclch:228925
    DOI: 10.15480/882.3127
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/228925/1/hicl-2020-29-295.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.15480/882.3127?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Antti Saaksvuori & Anselmi Immonen, 2008. "Product Lifecycle Management," Springer Books, Springer, number 978-3-540-78172-1, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Seppo Kuula & Harri Haapasalo & Arto Tolonen, 2018. "Cost-efficient co-creation of knowledge intensive business services," Service Business, Springer;Pan-Pacific Business Association, vol. 12(4), pages 779-808, December.
    2. František Freiberg & David Michálek & Marek Nemec & Miroslav Žilka & George Cristian Gruia, 2011. "Survey Regarding The Level Of Product Lifecycle Management In Manufacturing Companies," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 4, pages 116-120, December.
    3. Frédéric Segonds & Julien Nelson & Améziane Aoussat, 2012. "PLM and architectural rehabilitation : a framework to improve collaboration in the early stages of design," Post-Print hal-00719169, HAL.
    4. Erno Mustonen & Jonne Seppänen & Arto Tolonen & Janne~Harkonen & Harri Haapasalo, 2020. "Product Portfolio Management Strategic Targets and KPIs over Life-Cycle: A Case Study in Telecommunications Business," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 18(1 (Spring), pages 5-23.
    5. Tolonen, Arto & Shahmarichatghieh, Marzieh & Harkonen, Janne & Haapasalo, Harri, 2015. "Product portfolio management – Targets and key performance indicators for product portfolio renewal over life cycle," International Journal of Production Economics, Elsevier, vol. 170(PB), pages 468-477.
    6. Nikolaus Kangas & Hanna Kropsu-Vehkapera & Harri Haapasalo & Tuomo Kinnunen, 2013. "Empirical Aspects on Defining Product Data for Rapid Productisation," International Journal of Synergy and Research, ToKnowPress, vol. 2(2), pages 109-130.
    7. Singh, Shikha & Chandra Misra, Subhas & Kumar, Sameer, 2020. "Identification and ranking of the risk factors involved in PLM implementation," International Journal of Production Economics, Elsevier, vol. 222(C).
    8. repec:tkp:ijsrsy:v:2:y:2012:i:2:p:109-130 is not listed on IDEAS
    9. Li, Xishu & Yin, Ying & Manrique, David Vergara & Bäck, Thomas, 2021. "Lifecycle forecast for consumer technology products with limited sales data," International Journal of Production Economics, Elsevier, vol. 239(C).
    10. Jean-François Ouellet & Caroline Lacroix & Bruno Lussier, 2014. "Salespeople Contribution to Innovation in the Firm: Can Generativity Be a Driving Force?," Post-Print halshs-01185794, HAL.
    11. Silventoinen, Anneli & Denger, Andrea & Lampela, Hannele & Papinniemi, Jorma, 2014. "Challenges of information reuse in customer-oriented engineering networks," International Journal of Information Management, Elsevier, vol. 34(6), pages 720-732.
    12. Shih, Han M., 2014. "Migrating product structure bill of materials Excel files to STEP PDM implementation," International Journal of Information Management, Elsevier, vol. 34(4), pages 489-516.
    13. Golrizgashti, Seyedehfatemeh & Hosseini, SeyedHossein & Zhu, Qingyun & Sarkis, Joseph, 2023. "Evaluating supply chain dynamics in the presence of product deletion," International Journal of Production Economics, Elsevier, vol. 255(C).
    14. Li Li & Yong Wang & Kuo-Yi Lin, 2021. "Preventive maintenance scheduling optimization based on opportunistic production-maintenance synchronization," Journal of Intelligent Manufacturing, Springer, vol. 32(2), pages 545-558, February.
    15. Zhu, Qingyun & Dhavale, Dileep G. & Sarkis, Joseph & Wang, Xuan, 2023. "Formalizing organizational product deletion through strategic cross-functional evaluation: A Bayesian analysis approach," International Journal of Production Economics, Elsevier, vol. 262(C).
    16. Mubashir Hayat & Herwig Winkler, 2022. "From Traditional Product Lifecycle Management Systems to Blockchain-Based Platforms," Logistics, MDPI, vol. 6(3), pages 1-14, June.
    17. Mariusz Cholewa & Luan Huynh Ba Minh, 2021. "PLM Solutions in the Process of Supporting the Implementation and Maintenance of the Circular Economy Concept in Manufacturing Companies," Sustainability, MDPI, vol. 13(19), pages 1-28, September.
    18. Saman Davari & Meisam Jaberi & Adam Yousfi & Erik Poirier, 2023. "A Traceability Framework to Enable Circularity in the Built Environment," Sustainability, MDPI, vol. 15(10), pages 1-23, May.
    19. Tuomo Kinnunen & Kai Hänninen & Harri Haapasalo & Hanna Kropsu-Vehkapera, 2013. "Business Case Analysis for Rapid Productisation," Diversity, Technology, and Innovation for Operational Competitiveness: Proceedings of the 2013 International Conference on Technology Innovation and Industrial Management,, ToKnowPress.
    20. Aki Aapaoja & Jaakko Kujala & Lasse TT Pesonen, 2012. "Productization of University Services," International Journal of Synergy and Research, ToKnowPress, vol. 1(1), pages 89-106.
    21. Kessler, Melanie & Arlinghaus, Julia C. & Rosca, Eugenia & Zimmermann, Manuel, 2022. "Curse or Blessing? Exploring risk factors of digital technologies in industrial operations," International Journal of Production Economics, Elsevier, vol. 243(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:hiclch:228925. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://hicl.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.