Hostname: page-component-cd9895bd7-7cvxr Total loading time: 0 Render date: 2024-12-25T13:21:36.941Z Has data issue: false hasContentIssue false
  • English
  • Français

IMPROVING KNOWLEDGE TRANSFERS AT PROTEKTORWERK FLORENZ MAISCH GMBH & CO. KG THROUGH THE APPLICATION OF THE INKTI – INTERDEPARTMENTAL KNOWLEDGE TRANSFER IMPROVEMENT METHOD

Published online by Cambridge University Press:  19 June 2023

Monika Klippert ,
Luisa Schäfer ,
Jörg Böllhoff ,
Heiner Willerscheid ,
Simon Rapp  and
Albert Albers
Monika Klippert*
Affiliation:
Karlsruhe Institute of Technology (KIT);
Luisa Schäfer
Affiliation:
Karlsruhe Institute of Technology (KIT);
Jörg Böllhoff
Affiliation:
Protektorwerk Florenz Maisch GmbH & Co KG
Heiner Willerscheid
Affiliation:
Protektorwerk Florenz Maisch GmbH & Co KG
Simon Rapp
Affiliation:
Karlsruhe Institute of Technology (KIT);
Albert Albers
Affiliation:
Karlsruhe Institute of Technology (KIT);
*
Klippert, Monika, Karlsruhe Institute of Technology (KIT), Germany, [email protected]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

In the development and production of new products, interdepartmental knowledge transfer is essential. Successful knowledge transfer faces several challenges, such as a lack of willingness to transfer knowledge or an inappropriate selection of tools. These can lead to the reduction of efficiency and effectiveness of knowledge transfers. Therefore, the InKTI – Interdepartmental Knowledge Transfer Improvement Method is developed to support the improvement (in terms of speed and quality) of knowledge transfers, particularly in product and production engineering.

This paper presents the first validation of the InKTI Method through a field study at the company Protektorwerk Florenz Maisch GmbH & Co. KG, which is a leading European company in the construction industry, to support the successful knowledge transfer into practice. Therefore, the research need is pointed out, and a concept for validation is developed and implemented. Afterward, the InKTI Method is evaluated based on its success, support as well as applicability.

Keywords

Knowledge managementIntegrated product developmentProduct-Production-CoDesignOptimisationValidation
Type
Article
Information
Proceedings of the Design Society , Volume 3: ICED23 , July 2023 , pp. 2255 - 2264
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2023. Published by Cambridge University Press

References

Albers, A. and Gausemeier, J. (2012), “Von der fachdisziplinorientierten Produktentwicklung zur Vorausschauenden und Systemorientierten Produktentstehung”, In Anderl, R., Eigner, M., Sendler, U. und Stark, R., Smart Engineering. Interdisziplinäre Produktentstehung. acatech Diskussion. Springer Vieweg. BerlinGoogle Scholar
Albers, A., Gronau, N., Rapp, S., Grum, M. et al. (2018), “Influencing factors and methods for knowledge transfer situations in Product Generation Engineering based on the SECI model”, DS 91: Proceedings of NordDesign 2018, Linköping, Sweden.Google Scholar
Albers, A., Klippert, M., von Klitzing, M., Rapp, S. and Albers, A. (2023). A Method to Support the Improvement of Knowledge Transfers in Product and Production Engineering. In Proceedings of the Design Society: International Conference on Engineering Design.Google Scholar
Albers, A., Lanza, G., Klippert, M., Schäfer, L., et al. (2022) “Product-Production-CoDesign: An Approach on Integrated Product and Production Engineering Across Generations and Life Cycles. 32nd CRIP Design Conference.CrossRefGoogle Scholar
Albers, A., Rapp, S., Grum, M. (2019), “Knowledge Transfer Velocity Model Implementation – An Empirical Study In Product Development Contexts”, Published in: Gronau, N. and Grum, M. Knowledge Transfer Speed Optimizations in Product Development Contexts: Results of a Research Project. GITO mbH Verlag.Google Scholar
Badke-Schaub, P., Daalhuizen, J. and Roozenburg, N. (2011) „Towards a Designer-Centred Methodology: Descriptive Considerations and Prescriptive Reflections”, In Birkhofer, H. (Ed.), The Future of Design Methodology (pp. 181–197). Springer London. https://doi.org/10.1007/978-0-85729-615-3_16CrossRefGoogle Scholar
Blessing, L. T. M. and Chakrabarti, A. (2009), “DRM, a Design Research Methodology”. Springer. London.CrossRefGoogle Scholar
Cummings, J. and Teng, B.-S. (2003), “Transferring R&D knowledge: the key factors affecting knowledge transfer success”. Journal of Engineering and Technology Management. volume 20, Journal 1-2. pp. 39–68.CrossRefGoogle Scholar
Dühr, K., Kopp, D., Rapp, S. and Albers, A. (2022), “Validating a Design Method to Improve Collaboration in Distributed Product Design – What Needs to be Considered”, NordDesign 2022. Kgs. Lyngby, Denmark.CrossRefGoogle Scholar
Gericke, K., Meißner, M. and Paetzold, K. (2013), “Understanding the context of product development”, In DS 75-3: Proceedings of the 19th International Conference on Engineering Design (ICED13) Design For Harmonies, Vol. 3: Design Organisation and Management, Seoul, Korea 19-22.08.Google Scholar
Grum, M., Klippert, M., Albers, A., Gronau, N., et al. (2021), “Examining the quality of knowledge transfers–the draft of an empirical research”, Proceedings of the Design Society, 1, 1431–1440.CrossRefGoogle Scholar
Himme, A. (2007). Gütekriterien der Messung: Reliabilität, Validität und Generalisierbarkeit. In: Methodik der empirischen Forschung. Springer; p. 375–390.CrossRefGoogle Scholar
Klippert, M., Preißner, A., Rust, H. and Albers, A. (2022), “Analysis of Factors Influencing Knowledge Transfer between the Product and Production System Development as well as Production”, Procedia CIRP, 109, 340–348.CrossRefGoogle Scholar
Klippert, M., Stolpmann, Albers, A. (2023a), “Knowledge Transfer Quality Model Implementation – An Empirical Study in Product Engineering Contexts”, Procedia CIRP.CrossRefGoogle Scholar
Klippert, M., Stolpmann, R., Grum, M., Thim, C., et al. (2023b), “Knowledge Transfer Quality Improvement – The Quality Enhancement of Knowledge Transfers in Product Engineering”, Procedia CIRP.CrossRefGoogle Scholar
Klyatis, L. M. (2012), “Accelerated reliability and durability testing technology”, John Wiley & Sons, New JerseyGoogle Scholar
Lindemann, U, Lorenz, M. (2008), “Uncertainty handling in integrated product development”, In DS 48: Proceedings DESIGN 2008, the 10th International Design Conference, Dubrovnik, Croatia. pp. 175–182Google Scholar
Liyanage, C., Ballal, T., Elhag, T. and Li, Q. (2009), “Knowledge communication and translation- A knowledge transfer model”, Journal of Knowledge Management, 13 (3). pp. 118–131. EmeralCrossRefGoogle Scholar
Nonaka, I. and Takeuchi, H. (1995), “The knowledge-creating company: How Japanese companies create the dynamics of innovation”, Oxford university press.CrossRefGoogle Scholar
Pedersen, K., Emblemsvåg, J., Bailey, R., Allen, J. K. and Mistree, F. (2000), “Validating Design Methods and Research: The Validation Square”, In Proceedings of DETC (pp. 379–390).CrossRefGoogle Scholar
Putnik, G, Putnik, Z. (2019), “Defining Sequential Engineering (SeqE), Simultaneous engineering (SE), Concurrent Engineering (CE) and Collaborative Engineering (ColE): On similarities and differences”, Procedia CIRP. 84, pp. 68–75.CrossRefGoogle Scholar
Rauter, R. (2013), „Interorganisationaler Wissenstransfer. Zusammenarbeit zwischen Forschungseinrichtungen und KMU“, Wiesbaden: Springer Gabler.CrossRefGoogle Scholar
Schmidt, DM, Böttcher, L, Wilberg, J, Kammerl, D, Lindemann, U. (2016), „Modeling Transfer of Knowledge in an Online Platform of a Cluster“, In: Procedia CIRP. 26th CIRP Design Conference. Elsevier.CrossRefGoogle Scholar
Sekitoleko, N., Evbota, F., Knauss, E., Sandberg, A., Chaudron, M., Olsson, H. (2014), “Technical dependency challenges in large-scale agile software development”, Published in: Agile Processes in Software Engineering and Extreme Programming. 15th International Conference. Rome, ItalyCrossRefGoogle Scholar
Souza da Conceição, C., Broberg, O., Paravizo, E., Jensen, A. (2019), “A four-step model for diagnosing knowledge transfer challenges from operations into engineering design”, Published in: International Journal of Industrial Ergonomics.CrossRefGoogle Scholar
Stenholm, D., Stylidis, K., Bergsjö, D., Söderberg, R. (2017), “Towards robust interorganizational synergy: Perceived quality knowledge transfer in the automotive industry”, Published in: 21st International Conference on Engineering Design (ICED17). Chalmers University of Technology. Sweden.Google Scholar
Üreten, S., Eisenmann, M., Nelius, T., Cao, S., Matthiesen, S., and Krause, D. (2019), “A Concept Map for Design Method Experiments in Product development – A Guideline for Method Developers”, In DS 98: Proceedings of the 30th Symposium Design for X (DFX 2019), Jesteburg, Germany.CrossRefGoogle Scholar
VDI - The Association of German Engineers (2019), “VDI 2221 - Part 1. Design of technical products and systems - Model of product design”, Berlin: Beuth- Verlag.Google Scholar
Zahedi, M., Shahin, M., Ali Babar, M. (2016), “A systematic review of knowledge sharing challenges and practices in global software development”, Published in: International Journal of Information Management 36. Elsevier.Google Scholar