Hostname: page-component-857557d7f7-ksgrx Total loading time: 0 Render date: 2025-11-22T22:55:41.977Z Has data issue: false hasContentIssue false
  • English
  • Français

Enhancing knowledge management in the engineering design process through a communication platform

Published online by Cambridge University Press:  16 May 2024

Sinan Ugurlu ,
Manfred Grafinger ,
Detlef Gerhard  and
Pinar Demircioglu
Sinan Ugurlu*
Affiliation:
TU Wien, Austria
Manfred Grafinger
Affiliation:
TU Wien, Austria
Detlef Gerhard
Affiliation:
Ruhr-Universität Bochum, Germany
Pinar Demircioglu
Affiliation:
Technical University of Munich, Germany
*
sinan.ugurlu@tuwien.ac.at

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 today's competitive market, design firms are under pressure to enhance the speed of their decision-making processes to foster innovative products. Due to specialized nature of contemporary technology, enterprises are directed to consider Design for X factors during the product development process like environmental impact and production efficiency. This transformation leads to an increase in gaining knowledge from different fields. This paper presents a comprehensive framework for efficiently acquiring and applying knowledge, aimed at improving knowledge management and sharing practices.

Keywords

design for x (DfX)knowledge managementproduct developmentcommunicationknowledge acquiring

Information

Type
Design Information and Knowledge
Information
Proceedings of the Design Society , Volume 4: DESIGN 2024 , May 2024 , pp. 473 - 482
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), 2024.

References

Battaia, O., Dolgui, A., Heragu, S. S., Meerkov, S. M., & Tiwari, M. K. (2018). Design for manufacturing and assembly/disassembly: joint design of products and production systems. International Journal of Production Research, 56(24), 7181-7189.CrossRefGoogle Scholar
Bouissiere, F., Cuiller, C., Dereux, P. E., Malchair, C., Favi, C., & Formentini, G. (2019, July). Conceptual design for assembly in aerospace industry: A method to assess manufacturing and assembly aspects of product architectures. In Proceedings of the Design Society: International Conference on Engineering Design (Vol. 1, No. 1, pp. 2961-2970). Cambridge University Press.CrossRefGoogle Scholar
Ulloa, Cabello, Remirez Jauregui, M. J., Zulaika Munain, A., Areitioaurtena Oiartzun, I., Retolaza Ojanguren, M., Campos Insunza, I., A, M.., & Martínez Noguera, F. (2018). New integrative approach to existing design for assembly (DFA) methodologies: application on elevator components. In DS 92: Proceedings of the DESIGN 2018 15th International Design Conference (pp. 215-224).Google Scholar
Campi, F., Mandolini, M., Favi, C., Checcacci, E., Germani, M. (2020), "An analytical cost estimation model for the design of axisymmetric components with open-die forging technology", The Int. Journal of Advanced Manufacturing Technology, Vol 110, pp. 1869-1892. https://doi.org/10.1007/s00170-020-05948-w.CrossRefGoogle Scholar
Doellken, M., Lorin, A., Thomas, N., & Sven, M. (2021). Identifying an opportunistic method in design for manufacturing: An experimental study on successful an on the manufacturability and manufacturing effort of design concepts. Procedia CIRP, 100, 720-725CrossRefGoogle Scholar
Souri, El, Gao, M., Owodunni, J., Simmonds, O., , C., & Martin, N. (2017, June). Improving design for manufacturing implementation in knowledge intensive collaborative environments: An analysis of organizational factors in aerospace manufacturing. In 2017 IEEE Technology & Engineering Management Conference (TEMSCON) (pp. 448-454). IEEE.Google Scholar
Favi, C., Campi, F., Germani, M., Mandolini, M. (2022), "Engineering knowledge formalization and proposition for informatics development towards a CAD-integrated DfX system for product design", Advanced Engineering Informatics, Vol 51, pp. 1-25. https://doi.org/10.1016/j.aei.2022.101537.CrossRefGoogle Scholar
Fitzgerald, D. P., Herrmann, J. W., Sandborn, P. A., Schmidt, L. C., & Gogoll, T. H. (2007). Design for environment (DfE): strategies, practices, guidelines, methods, and tools. Environmentally conscious mechanical design, 1-24.CrossRefGoogle Scholar
Formentini, G., Ramanujan, D. (2023), "Design for circular disassembly: Evaluating the impacts of product end-of-life status on circularity through the parent-action-child model", Journal of Cleaner Production, Vol 405, 137009, pp. 1-15. https://doi.org/10.1016/j.jclepro.2023.137009.CrossRefGoogle Scholar
Frank, A., and Echeveste, M. (2012), "Knowledge transfer between NPD project teams", International Journal of Quality & Reliability Management, 29(3), 242–264. https://doi.org/10.1108/02656711211216126.CrossRefGoogle Scholar
Gogineni, S.K., Riedelsheimer, T., Stark, R. (2019), "Systematic product development methodology for customizable IoT devices", Procedia CIRP, 84, pp. 393-399. https://doi.org/10.1016/j.procir.2019.04.287.CrossRefGoogle Scholar
Hauschild, M. Z., Jeswiet, J., & Alting, L. (2004). Design for environment - do we get the focus right?. CIRP Annals, 53(1), pp. 1-4.CrossRefGoogle Scholar
Heimicke, J., Freire, G., Breitschuh, J., Albers, A., (2019), "Determining degrees of complexity of different development situations within business processes in engineering sector", 41st R&D Management Conference 2019 “The Innovation Challenge: Bridging Research, Industry and Society”.Google Scholar
Henrich, A., Morgenroth, K.: Bedeutung des Design For X für die Informationsversorgung von Entwicklern innerhalb des Entwicklungsprozesses. In: 17th Symposium "Design for X", pp. 91-102(2006).Google Scholar
Hoe, L. C., & Mansori, S. (2018). The effects of product quality on customer satisfaction and loyalty: Evidence from Malaysian engineering industry. International Journal of Industrial Marketing, 3(1), 20.CrossRefGoogle Scholar
Jari, L., Janne, H., Harri, H., Pekka, B., Matti, M., & Pasi, K. (2011). Benefits of DfX in requirements engineering. Technology and Investment, 2011.Google Scholar
Ji, Y., Jiang, Z., Li, X., Huang, Y., & Liu, J. (2022). A hypernetwork-based context-aware approach for design lesson-learned knowledge proactive feedback in design for manufacturing. Advanced Engineering Informatics, 54, 101794.CrossRefGoogle Scholar
Kolur, D. K., Yadav, S., Gulvindala, A. K., & Bahubalendruni, M. R. (2020). A framework to facilitate automated assembly sequence planning in design strategies. International Journal of Performability Engineering, 16(10), 1517-1524.Google Scholar
Koners, U., and Goffin, K. (2007), "Managers’ perceptions of learning in new product development", International Journal of Operations & Production Management, 27(1), 49–68. https://doi.org/10.1108/01443570710714538.CrossRefGoogle Scholar
Kremer, G., Peters, I., Bingoel, B., Stark, R. (2023), "Better Design through Shared Knowledge via Design Heuristics", Procedia CIRP, Vol 119, pp. 957-962. https://doi.org/10.1016/j.procir.2023.03.140.CrossRefGoogle Scholar
Marconi, M., Germani, M., Favi, C., Raffaeli, R. (2018), "CAD feature recognition as a means to prevent ergonomics issues during manual assembly tasks", Computer-Aided Design and Applications, 15 (5), pp. 734-746. https://doi.org/10.1080/16864360.2018.1441240.CrossRefGoogle Scholar
Masior, J., Schneider, B., Kürümlüoglu, M., Riedel, O. (2020), "Beyond model-based systems engineering towards managing complexity", Procedia CIRP, 91, pp. 325-329. https://doi.org/10.1016/j.procir.2020.02.183.CrossRefGoogle Scholar
Mattson, C. A., & Sorensen, C. D. (2020). Product development: Principles and tools for creating desirable and transferable designs (1. Aufl.). Springer Nature.CrossRefGoogle Scholar
Mesa, J.A. (2023), "Design for circularity and durability: an integrated approach from DFX guidelines", Research in Engineering Design, 34, pp. 443-460. https://doi.org/10.1007/s00163-023-00419-1.CrossRefGoogle Scholar
Pahl, G., Beitz, W., Feldhusen, J., & Grote, K.-H. (2006). Engineering Design: A Systematic Approach (K. Wallace & L. T. M. Blessing, Hrsg. & Übers; 3. Aufl.). Springer.Google Scholar
Remirez, A., Ramos, A., Retolaza, I., Cabello, M., Campos, M., & Martinez, F. (2019). New design for assembly methodology adapted to large size products: Application on a solar tracker design. Procedia CIRP, 84, 468-473.CrossRefGoogle Scholar
Roy, R. (2003). Cost engineering Why, What AND How? Decision Engineering Report Series. Edited by Rajkumar Roy and Clive Kerr.Google Scholar
Schlichter, J., Reichwald, R., Koch, M., Möslein, K. (2001), "Rechnergestützte Gruppenarbeit (CSCW)", Zeitschrift Für Interaktive und Kooperative Medien - ICOM.Google Scholar
Schmidt, J., Peruzzini, M., Zattar Paganin, L.B., Sato, R.S., Borsato, M. (2020), "Expert system based on ontological model to support the detailed design of agricultural machinery: a case of hydraulic hoses", Product: Management & Development, 18 (1), pp. 53-69. https://doi.org/10.4322/pmd.2019.022.CrossRefGoogle Scholar
Sinclair, S. A., Hansen, B. G., & Fern, E. F. (1993). Industrial forest product quality: an empirical test of Garvin's eight quality dimensions. Wood and fiber science, 66-76.Google Scholar
Sokoh, G.C., Okolie, U.C. (2021), "Knowledge management and its importance in modern organizations", Journal of Public Administration, Finance and Law, 20(1), pp. 283-300. https://doi.org/10.47743/jopafl-2021-20-19.Google Scholar
Stylidis, K., Wickman, C., & Söderberg, R. (2015). Defining perceived quality in the automotive industry: An engineering approach. Procedia CIRP, 36, 165-170.CrossRefGoogle Scholar
Tao, J., Li, L., Yu, S. (2018), "An innovative eco-design approach based on integration of LCA, CAD\CAE and optimization tools, and its implementation perspectives", Journal of Cleaner Production, Vol 187, pp. 839-851. https://doi.org/10.1016/j.jclepro.2018.03.213.CrossRefGoogle Scholar
Telenko, C., Seepersad, C. C., & Webber, M. E. (2008, January). A compilation of design for environment principles and guidelines. In International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (Vol. 43291, pp. 289-301).CrossRefGoogle Scholar
Walid, A., Iordanova, I., Ouellet-Plamondon, C. (2023), "BIM-driven computational design for robotic manufacturing in off-site construction: an integrated Design-to-Manufacturing (DtM) approach", Automation in Construction, Vol 150, 104782, pp. 1-16. https://doi.org/10.1016/j.autcon.2023.104782.Google Scholar