Knowledge-Based Lifecycle Management Approach for Product Service Systems (PSS)

Author: Michael Abramovici, Youssef Aidi, Hoang Bao Dang

Keywords: #Product_Lifecycle_Management, #Product_Service_Systems, #Data_Management, #Feedback_Management 


Product Service Systems (PSS) are new industrial offerings which integrate a product and related services into a customer-specific bundle and offer the customer an overall solution to a specific issue. The lifecycle of PSS is characterized by merged product and service structures and a close interaction among the provider, the suppliers, and the customer, not only in the development phase but especially during the operation of PSS. Therefore a lifecycle management approach for PSS has to merge both the virtual and real (operational) lifecycle of PSS. To reach that goal operational knowledge about a PSS instance must be gathered, aggregated, managed, and used by enhanced lifecycle management methods in order to support providers, suppliers, and customers by developing, delivering and operating PSS. The paper in hand presents a knowledge-based lifecycle management approach for PSS, which considers an ontological representation of PSS knowledge and 3 knowledge-based lifecycle methods to make engineering processes adaptive, to provide the involved actors with the appropriate PSS knowledge and support the stakeholders in their decision making processes. The components of this approach have been identified as key lifecycle management methods for managing PSS. They are still being developed within the collaborative research center TR29 funded by the German Research Foundation (DFG), who investigate the overall engineering of PSS.

About this publication

Cite this publication

Abramovici M., Aidi Y., Dang H.B. (2013) Knowledge-Based Lifecycle Management Approach for Product Service Systems (PSS). In: Bernard A., Rivest L., Dutta D. (eds) Product Lifecycle Management for Society. PLM 2013. IFIP Advances in Information and Communication Technology, vol 409. Springer, Berlin, Heidelberg


  1. atta, P.P., Roy, R.: Cost Modelling Techniques for Availability Type Service Support Contracts: A Literature Review and Empirical Study. In: Proceedings of the 1st CIRP IPS2Conference, Cranfield, UK, pp. 216–223 (2009)Google Scholar
  2. Abramovici, M., Aidi, Y.: Next Generation Product Lifecycle Management (PLM). In: Proceedings of the 5th International Conference on Integrated Systems Design and Technology, Mallorca, Spain (2012)Google Scholar
  3. Mont, O.: Clarifying the concept of product-service systems. Journal of Cleaner Production 10(3), 237–245 (2002)CrossRefGoogle Scholar
  4. Abramovici, M., Schulte, S.: Study “Benefit of PLM – The Potential Benefits of Product Lifecycle Management in the Automotive Industry”. ITM Ruhr-University Bochum, IBM BSC, Detroit (2007)Google Scholar
  5. Arai, T., Shimomura, Y.: Service CAD System-Evaluation and Quantification. CIRP Annals - Manufacturing Technology 1, 463–466 (2005)CrossRefGoogle Scholar
  6. Shostack, G.L.: Service Design in the Operating Environment. In: Developing New Services, Chicago (1984)Google Scholar
  7. Främling, K., Chong, B.B., Brusey, J.: Globally unique product identifiers – requirements and solutions to product lifecycle management. In: Proceedings of the 12th IFAC Symposium on Information Control Problems in Manufacturing (INCOM), Saint-Etienne, France, pp. 47–51 (2006)Google Scholar
  8. Abramovici, M., Bellalouna, F., Goebel, J.C.: Adaptive change management for industrial product service systems (IPS²). In: Proceedings of the TMCE 2010, Ancona, Italy (2010)Google Scholar
  9. Brown, J., Boucher, M.: Engineering Change Management 2.0: Better Business Decisions from Intelligent Change Management (2007)Google Scholar
  10. Kernland, M., Hoeffleur, O., Felber, M.: The Agility Challenge in Business Process Management. Product Data Journal 1/2008, 40–42 (2008)Google Scholar
  11. Burmeister, B., Arnold, M., Copaciu, F., Rimmassa, G.: BDI-Agents for Agile Goal-Oriented Business Processes. In: Proceedings of the 7th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Estorial, Portugal (2008)Google Scholar
  12. Roa, A.S., Geogreff, M.P.: BDI Agents: From Theory to Practice. In: Proceedings of the 1st International Conference on Multi-Agent Systems, San Francisco, USA (1995)Google Scholar
  13. Dimitris, K.: Closed-loop PLM for intelligent products in the era of the Internet of things. Computer-Aided Design 43, 479–501 (2011)CrossRefGoogle Scholar
  14. Abramovici, M., Lindner, A., Walde, F., Fathi, M., Dienst, S.: Decision support for improving the design of hydraulic systems by leading feedback into product development. In: Proceedings of the 18th International Conference on Engineering Design 2011 (ICED 2011), Kopenhagen, Denmark, August 15-18, vol. 9, pp. 1–10 (2011)Google Scholar
  15. Abramovici, M., Lindner, A., Krause, F.L.: Providing Product Use Knowledge for the Design of Improved Product Generations. CIRP Annals - Manufacturing Technology 60(1), 211–214 (2011)CrossRefGoogle Scholar
  16. Abramovici, M., Neubach, M., Fathi, M., Holland, A.: Knowledge-based Feedback of product Use Information into Product Development. In: Proceedings of the 17th International Conference on Engineering Design (ICED), Stanford, CA, USA, vol. 8, pp. 227–238 (2009)Google Scholar
  17. Meier, H.: Ganzheitliches, regelbasiertes Verfügbarkeitsmanagement von Produktionssystemen (VeraPro). Apprimus Verlag, Aachen (2009) ISBN: 978-3-940565-99-0Google Scholar
  18. Abramovici, M., Neubach, M., Fathi, M., Holland, A.: Competing Fusion for Bayesian Applications. In: Proceedings of the 12th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Málaga, Spain (2008)Google Scholar
  19. Abramovici, M., Michele, J., Neubach, M.: Erweiterung des PLM-Ansatzes Für Hybride Leistungsb ündel. In: ZWF, vol. 103, pp. 619–621. Carl Hanser Verlag (2008)Google Scholar
  20. Wang, S.Z.: Research on Executive Information System (EIS) for Enterprises. Jianton Unversity Xi’an, Doctoral Thesis (1999)Google Scholar
  21. Leidner, D., Elam, J.: Executive Information Systems: Their Impact on Executive Decision Making. Journal of Management Information Systems 10, 139–155 (1994)Google Scholar
  22. Abramovici, M., Jin, F.: A New Method for Monitoring Industrial Product-Service System based on DSC and AHP. In: Proceedings of ICEIS 2011, Beijing, China (2011)Google Scholar
  23. Michael, M., Bellalouna, F., Schulze, M., Spura, C.: Metadata Reference Model for IPS2Lifecycle Management. In: Proceedings of the 1st CIRP IPS2 Conference, Cranfield, UK, pp. 268–272 (2009)Google Scholar