Abstract
Beside the creative activities in product development, the design process involves multiple routine tasks that are subject to automation. Techniques like knowledge-based engineering, what is commonly understood as the merging of computer-aided design, object-oriented programming and artificial intelligence, have been discussed since years, but have not yet achieved a significant breakthrough. But in particular the actual debate on digitization and artificial intelligence draws much attention on fostering new automation potentials in design of products and services. This article aims at taking an actual snapshot in which fields of application knowledge-based engineering systems and artificial intelligence are used in product development. Therefore, the authors conducted a systematic literature review, limited to scientific literature of the last five years. The literature analysis and synthesis is condensed within a concept matrix that documents actual applications and shows further research potentials.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Ullman, D.G.: The Mechanical Design Process, 4th edn. Mcgraw-Hill, New York (2009)
Vajna, S.: CAx für Ingenieure: eine praxisbezogene Einführung, 2nd edn. Springer, Heidelberg (2009)
Verhagen, W.J.C., Bermell-Garcia, P., van Dijk, R.E.C., Curran, R.: A critical review of Knowledge-Based Engineering: an identification or research challenges. Adv. Eng. Inform. 26(1), 5–15 (2012)
Gembarski, P.C., Li, H., Lachmayer, R.: Template-based modelling of structural components. Int. J. Mech. Eng. Robot. Res. 6(5), 336–342 (2017)
Chapman, C.B., Pinfold, M.: The application of a knowledge based engineering approach to the rapid design and analysis of an automotive structure. Adv. Eng. Softw. 32(12), 903–912 (2001)
Milton, N.R.: Knowledge Technologies, 3rd edn. Polimetrica sas, Monza (2008)
Sabin, D., Weigel, R.: Product configuration frameworks - a survey. IEEE Intell. Syst. Appl. 13(4), 42–49 (1998)
Boyle, Y., Brown, D.C.: A review and analysis of current computer-aided fixture design approaches. Robot. Comput. Integr. Manuf. 27(1), 1–12 (2011)
Gembarski, P.C.: Komplexitätsmanagement mittels wissensbasiertem CAD – Ein Ansatz zum unternehmenstypologischen Management konstruktiver Lösungsräume. TEWISS, Garbsen (2018)
Schreiber, G., Wielinga, B., de Hoog, R., Akkermans, H., Van de Velde, W.: CommonKADS: a comprehensive methodology for KBS development. IEEE Expert 9(6), 28–37 (1994)
Stokes, M.: Managing Engineering Knowledge: MOKA: Methodology for Knowledge Based Engineering Applications. Wiley-Blackwell, London (2001)
Barták, R., Salido, M.A., Rossi, F.: Constraint satisfaction techniques in planning and scheduling. J. Intell. Manuf. 21(1), 5–15 (2010)
Felfernig, A., Hotz, L., Bagley, C., Tiihonen, J.: Knowledge-Based Configuration: From Research to Business Cases. Newnes. Morgan Kaufmann, Amsterdam (2014)
vom Brocke, J., Simons, A., Niehaves, B., Riemer, K., Plattfaut, R., Cleven, A.: Reconstructing the giant: on the importance of rigour in documenting the literature search process. In: Proceedings of the European Conference on Information Systems (ECIS), Verona, Italy, pp. 2206–2217 (2009)
Webster, J., Watson, R.T.: Analyzing the past to prepare the future: writing a literature review. MIS Q. xiii–xxiii (2002)
Martins, T.W., Anderl, R.: Feature recognition and parameterization methods for algorithm-based product development process. In: 37th Computers and Information in Engineering Conference, pp. 1–11. The American Society of Mechanical Engineers, Cleveland (2017)
Furian, R., Von Lacroix, F., Correia, A., Faltus, S., Flores, M., Grote, K.-H.: Evaluation of a new concept of a knowledge based environment. In: The 3rd International Conference on Design Engineering and Science, Pilsen, Czech Republic, pp. 186–191 (2014)
Konrad, C., Löwer, M., Schmidt, W.: Varianzsteuerung integraler Produkte durch den Prozessbegleitenden Einsatz von Data-Mining Werkzeugen. In: Brökel, K., et al. (eds.) Gemeinsames Kolloquium Konstruktionstechnik, DuEPublico, vol. 15, pp. 213–222 (2017)
Fender, J., Duddeck, F., Zimmermann, M.: Direct computation of solution spaces. Struct. Multidiscip. Optim. 55(5), 1787–1796 (2017)
Graff, L., Harbrecht, H., Zimmermann, M.: On the computation of solution spaces in high dimensions. Struct. Multidiscip. Optim. 54(4), 811–829 (2016)
Müller, M., Roth, M., Lindemann, U.: The hazard analysis profile: linking safety analysis and SysML. In: Annual IEEE Systems Conference, Orlando, USA, pp. 1–7 (2016)
Colombo, G., Pugliese, D., Klein, P., Lützemnberger, J.: A study for neutral format to exchange and reuse engineering knowledge in KBE applications. In: International Conference on Engineering, Technology and Innovation, Bergamo, Italien, pp. 1–10 (2014)
Chechurin, L.S., Wits, W.W., Bakker, H.M., Vaneker, T.H.J.: Introducing trimming and function ranking to solidworks based on function analysis. In: Cavallucci, D., et al. (eds.) Procedia Engineering, vol. 131, pp. 184–193. Elsevier
Luft, T., Roth, D., Binz, H., Wartzack, S.: A new “knowledge-based engineering” guideline. In: 21st International Conference on Engineering Design, Vancouver, Canada, pp. 207–216 (2017)
Oellrich, M.: Webbasierte Konstruktionsmethoden-Unterstützung in der frühen Phase der Produktentwicklung (Dissertation), Helmut-Schmidt-Universität/Universität der Bundeswehr Hamburg, Hamburg (2015)
Hjertberg, T., Stolt, R., Poorkiany, M., Johansson, J., Elgh, F.: Implementation and management of design systems for highly customized products – state of practice and future research. In: Curran, R., et al. (eds.) Transdisciplinary Lifecycle Analysis of Systems, pp. 165–174. IOS Press, Amsterdam (2015)
Relich, M., Śwíc, A., Gola, A.: A knowledge-based approach to product concept screening. In: Omatu, S., et al. (eds.) Distributed Computing and Artificial Intelligence, 12th International Conference. Advances in Intelligent Systems and Computing, vol. 373. Springer, Cham (2015)
Gembarski, P.C., Li, H., Lachmayer, R.: KBE-modeling techniques in standard CAD-systems: case study – autodesk inventor professional. In: Proceedings of the 8th World Conference on Mass Customization, Personalization, and Co-Creation, MCPC 2015, pp. 215–233. Springer, Cham (2015)
Zhang, L.L., Chen, X., Falkner, A., Chu, C.: Open configuration: a new approach to product customization. In: Felfernig, A., Forza, C., Haag, A. (eds.) 16th International Configuration Workshop, pp. 75–79. Novi Sad, Serbia (2014)
Zeng, F., Li, B., Zheng, P., Xie, S. (S.Q.): A modularized generic product model in support of product family modeling in one-of-a-kind production. In: 2014 IEEE International Conference on Mechatronics and Automation, pp. 786–791. IEEE, Tianjin (2014)
Levandowski, C., Müller, J.R., Isaksson, O.: Modularization in concept development using functional modeling. In: Borsato, M., et al. (eds.) Transdisciplinary Engineering: Crossing Boundaries, pp. 117–126. IOS Press, Amsterdam (2016)
Borjesson, F., Hölttä-Otto, K.: A module generation algorithm for product architecture based on component interactions and strategic drivers. Res. Eng. Design 25(1), 31–51 (2014)
Garg, H.: Solving structural engineering design optimization problems using an artificial bee colony algorithm. J. Ind. Manag. Optim. 10(3), 777–794 (2014)
Baykasoğlu, A., Ozsoydan, F.B.: Adaptive firefly algorithm with chaos for mechanical design optimization problems. Appl. Soft Comput. 36(11), 152–164 (2015)
Temple, P., Galindo, J., Jézéquel, J.-M., Acher, M.: Using machine learning to infer constraints for product lines. In: SPLC 2016 Proceedings of the 20th International Systems and Software Product Line Conference, pp. 209–218. ACM, New York (2016)
Fuge, M., Peters, B., Agogino, A.: Machine learning algorithms for recommending design methods. J. Mech. Des. 136(10), 101103 (2014)
Abdeen, H., Varró, D., Sahraoui, H., Nagy, A.S., Hegedüs, Á., Horváth, Á.: Multi-objective optimization in rule-based design space exploration. In: ASE 2014 Proceedings of the 29th ACM/IEEE International Conference on Automated Software Engineering, pp. 289–300. ACM, New York (2014)
Debreceni, C., Ráth, I., Varró, D., De Carlos, X., Mendialdua, X., Trujillo, S.: Automated model merge by design space exploration. In: Stevens, P., Wąsowski, A. (eds.) Fundamental Approaches to Software Engineering. Lecture Notes in Computer Science, vol. 9633. Springer, Heidelberg (2016)
Zhu, G.N., Hu, J., Qi, J., Ma, J., Peng, Y.-H.: An integrated feature selection and cluster analysis techniques for case-based reasoning. In: Engineering Applications of Artificial Intelligence, vol. 39, pp. 14–22. Elsevier (2015)
Althuizen, N., Wierenga, B.: Supporting creative problem solving with a casebased reasoning system. J. Manag. Inf. Syst. 31(1), 309–340 (2014)
Hashemi, H., Shaharoun, A.M., Sudin, I.: A case-based reasoning approach for design of machining fixture. Int. J. Adv. Manuf. Technol. 74(1–4), 113–124 (2014)
Moreno, D.P., Yang, M.C., Hernández, A.A., Linsey, J.S., Wood, K.L.: A step beyond to overcome design fixation: a design-by-analogy approach. In: Gero, J.S., Hanna, S. (eds.) Design Computing and Cognition 2014, pp. 607–624. Springer, Cham (2014)
Gembarski, P.C., Bibani, M., Lachmayer, R.: Design catalogues: knowledge repositories for knowledge-based engineering applications. In: Marjanovic, D., Storga, M., Pavkovic, N., Bojcetic, N., Skec, S. (eds.) DS 84: Proceedings of the DESIGN 2016 14th International Design Conference, pp. 2007–2015. The Design Society, Dubrovnik (2016)
Brem, A., Wolfram, P.: Research and development from the bottom up - introduction of terminologies for new product development in emerging markets. J. Innov. Entrepreneurship. Syst. View Time Space 3(9), 1–22 (2014)
Biskjaer, M.M., Dalsgaard, P., Halskov, K.: A constraint-based understanding of design spaces. In: DIS 2014 Proceedings of the 2014 Conference on Designing Interactive Systems, pp. 453–462. ACM, New York (2014)
Münzer, C.: Constraint-based methods for automated computational design synthesis of solution spaces (Dissertation). ETH Zürich, Zürich, Switzerland (2015)
Wang, Q., Yu, X.: Ontology based automatic feature recognition framework. Comput. Ind. 65(7), 1041–1052 (2014)
Yu, R., Gu, N., Ostwald, M., Gero, J.S.: Empirical support for problem–solution coevolution in a parametric design environment. Artif. Intell. Eng. Des. Anal. Manuf. 29(1), 33–44 (2015)
Pan, Z., Wang, X., Teng, R., Cao, X.: Computer-aided design-while-engineering technology in top-down modeling of mechanical product. Comput. Ind. 75, 151–161 (2016)
Trehan, V., Chapman, C., Raju, P.: Informal and formal modelling of engineering processes for design automation using knowledge based engineering. J. Zhejiang Univ. Sci. A 16(9), 706–723 (2015)
Hagenreiner, T., Köhler, P.: Concept development of design driven parts regarding multidisciplinary design optimization. Comput. Aided Des. Appl. 12(2), 208–217 (2015)
Relich, M.: A computational intelligence approach to predicting new product success. In: Proceedings of the 11th International Conference on Strategic Management and its Support by Information Systems, pp. 142–150 (2015)
Hu, J., Qi, J., Peng, Y.: New CBR adaptation method combining with problem–solution relational analysis for mechanical design. Comput. Ind. 66, 41–51 (2015)
Chen, Y., Liu, Z.-L., Xie, Y.-B.: A multi-agent-based approach for conceptual design synthesis of multi-disciplinary systems. Int. J. Prod. Res. 52(6), 1681–1694 (2014)
Fougères, A.-J., Ostrosi, E.: Intelligent agents for feature modelling in computer aided design. J. Comput. Des. Eng. 5(1), 19–40 (2018)
Siqueira, R., Bibani, M., Duran, D., Mozgova, I., Lachmayer, R., Behrens, B.-A.: An adapted case-based reasoning system for design and manufacturing of tailored forming multi-material components. Int. J. Interact. Des. Manuf. (IJIDeM), 1–10 (2019)
Gembarski, P.C., Sauthoff, B., Brockmöller, T., Lachmayer, R.: Operationalization of manufacturing restrictions for CAD and KBE-systems. In: Marjanovic, D., et al. (eds.) DS 84: Proceedings of the DESIGN 2016 14th International Design Conference, pp. 621–630. The Design Society, Dubrovnik (2016)
Brockmöller, T., Gembarski, P.C., Mozgova, I., Lachmayer, R.: Design catalogue in a CAE environment for the illustration of tailored forming. In: Engineering for a Changing World, vol. 59. ilmedia, Ilmenau (2017)
Bibani, M., Gembarski, P.C., Lachmayer, R.: Ein wissensbasiertes System zur Konstruktion von Staubabscheidern. In: Krause, D. et al. (eds.) Proceedings of the 28th Symposium Design for X, pp. 165–176. The Design Society, Bamberg (2017)
VDI: VDI Guideline 2221 - Systematic approach to the development and design of technical systems and products, Beuth, Berlin (1993)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Plappert, S., Gembarski, P.C., Lachmayer, R. (2020). The Use of Knowledge-Based Engineering Systems and Artificial Intelligence in Product Development: A Snapshot. In: Świątek, J., Borzemski, L., Wilimowska, Z. (eds) Information Systems Architecture and Technology: Proceedings of 40th Anniversary International Conference on Information Systems Architecture and Technology – ISAT 2019. ISAT 2019. Advances in Intelligent Systems and Computing, vol 1051. Springer, Cham. https://doi.org/10.1007/978-3-030-30604-5_6
Download citation
DOI: https://doi.org/10.1007/978-3-030-30604-5_6
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-30603-8
Online ISBN: 978-3-030-30604-5
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)