Skip to main content
SpringerLink
Log in

Design rules application in manufacturing industries: a state of the art survey and proposal of a context-aware approach

  • Original Paper
  • Published:
International Journal on Interactive Design and Manufacturing (IJIDeM) Aims and scope Submit manuscript

Abstract

In manufacturing industries, the design of a product needs to comply with many design rules. These rules are essentials as they help industrial designers to create high quality designs in an efficient way. [Problem] However, the management of an ever-increasing number of design rules becomes a real problem, especially for novice designers. Even if there exists some knowledge engineering tools for managing design rules, their capabilities are still limited and many companies continue to store their design rules in unstructured documents. Nowadays, the application of design rules remains a difficult task that needs a circular validation process between many experts in a manufacturing company. [Proposition] In this paper, we will analyze the main existing approaches for the application of design rules and we will demonstrate the need of a new approach to improve the current state-of-the-art practices. To minimize rule application impact on the design process, we propose to develop a Context-Aware Design Assistant that will recommend design rules on the fly while using computer-aided design software. Our design assistant relies on the modelling of the design rules and the design context in a single knowledge graph that can fuel a recommendation engine. [Future Work] In future work, we will describe the technical structure of the Context-Aware Design Assistant and develop it. The potential outcome of this research are: a better workflow integration of design rules application, a proactive verification of design solutions, a continuous learning of design rules and the detection and automation of design routines.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1

Similar content being viewed by others

References

  1. Baldwin, C.Y., Clark, K.B., Clark, K.B.: Design Rules: The Power of Modularity, vol. 1. MIT Press, New York (2000)

    Book  Google Scholar 

  2. Marques, R., Lourenço, P.B.: Structural behaviour and design rules of confined masonry walls: review and proposals. Constr. Build. Mater. 217, 137–155 (2019)

    Article  Google Scholar 

  3. Finazzi, V., Demir, A. G., Biffi, C. A., Chiastra, C., Migliavacca, F., Petrini, L., Previtali, B.: Design rules for producing cardiovascular stents by selective laser melting: geometrical constraints and opportunities. In: 2019 International Conference on Stents: Materials, Mechanics and Manufacturing, ICS3M 2019, vol. 15, Elsevier BV, pp. 16–23 (2019)

  4. Melin, J., Quake, S.R.: Microfluidic large-scale integration: the evolution of design rules for biological automation. Annu. Rev. Biophys. Biomol. Struct. 36, 213–231 (2007)

    Article  Google Scholar 

  5. Szabó, B., Actis, R., Rusk, D.: On the formulation and application of design rules. Comput. Math. Appl. 74(9), 2191–2202 (2017)

    Article  MathSciNet  Google Scholar 

  6. Russell, J.M., Sagaseta, J., Cormie, D., Jones, A.E.K.: Historical review of prescriptive design rules for robustness after the collapse of Ronan Point. In: Structures, vol. 20, Elsevier, pp. 365–373 (2019)

  7. Fang, Z., Roy, K., Uzzaman, A., Lim, J.B.: Numerical simulation and proposed design rules of cold-formed stainless steel channels with web holes under interior-one-flange loading. Eng. Struct. 2021, 113566 (2021)

    Google Scholar 

  8. Campiche, A., Costanzo, S.: Evolution of ec8 seismic design rules for x concentric bracings. Symmetry 12(11), 1807 (2020)

    Article  Google Scholar 

  9. Handfield, R.B., Melnyk, S.A., Calantone, R.J., Curkovic, S.: Integrating environmental concerns into the design process: the gap between theory and practice. IEEE Trans. Eng. Manage. 48(2), 189–208 (2001)

    Article  Google Scholar 

  10. Wuni, I.Y., Wu, Z., Shen, G.Q.: Exploring the challenges of implementing design for excellence in industrialized construction projects in China. Build. Res. Inf. (2021). https://doi.org/10.1080/09613218.2021.1961574

    Article  Google Scholar 

  11. Kassner, L., Gröger, C., Mitschang, B., Westkämper, E.: Product life cycle analytics–next generation data analytics on structured and unstructured data. Procedia CIRP 33, 35–40 (2015)

    Article  Google Scholar 

  12. Fu, K.K., Yang, M.C., Wood, K.L.: Design principles: literature review, analysis, and future directions. J. Mech. Des., 138(10), 101103 (2016)

  13. Calkins, D.E., Egging, N., Scholz, C.: Knowledge-based engineering (KBE) design methodology at the undergraduate and graduate levels. Int. J. Eng. Educ. 16, 21–38 (2000)

    Google Scholar 

  14. Bralla, J.G.: Design for Manufacturability Handbook. McGraw-Hill, New York (1999)

    Google Scholar 

  15. Pahl, G., Beitz, W.: Engineering Design: A Systematic Approach. Springer, Berlin (2013)

    Google Scholar 

  16. Stjepandić, J., Wognum, N., Verhagen, W.J.: Concurrent engineering in the 21st century. In: Foundations, Developments and Challenges, Springer, Berlin (2015)

  17. Ballard, G.: Positive vs. negative iteration in design. In: Proceedings Eighth Annual Conference of the International Group for Lean Construction, IGLC-6, Brighton, UK, pp. 17–19 (2000)

  18. Baines, T., Lightfoot, H., Williams, G.M., Greenough, R.: State-of-the-art in lean design engineering: a literature review on white collar lean. Proc. Inst. Mech. Eng. Part B J. Eng. Manuf. 220(9), 1539–1547 (2006)

    Article  Google Scholar 

  19. Nadeau, J.P., Fischer, X. (eds.).: Research in Interactive Design: Virtual, Interactive and Integrated Product Design and Manufacturing for Industrial Innovation, vol. 3, Springer, Berlin (2011)

  20. Fuwen, H., Jiajian, C., Yunhua, H.: Interactive design for additive manufacturing: a creative case of synchronous belt drive. Int. J. Interact. Des. Manuf. (IJIDeM) 12(3), 889–901 (2018)

    Article  Google Scholar 

  21. Cowan, R.: Expert systems: aspects of and limitations to the codifiability of knowledge. Res. Policy 30(9), 1355–1372 (2001)

    Article  Google Scholar 

  22. Dfmpro.: https://dfmpro.geometricglobal.com/

  23. Siemens NX Checkmate.: https://www.plm.automation.siemens.com/en_us/Images/2504_tcm1023-11882.pdf

  24. Dewhurst, B.: DFMA. https://www.dfma.com

  25. Huang, B., Xu, C., Huang, R., Zhang, S.: An automatic 3D CAD model errors detection method of aircraft structural part for NC machining. J. Comput. Des. Eng. 2(4), 253–260 (2015)

    Google Scholar 

  26. Favi, C., Campi, F.: CAD-based design for welding (DFW) method. Int. J. Interact. Des. Manuf. (IJIDeM) 15(1), 95–97 (2021)

    Article  Google Scholar 

  27. Sowa, J.F.: Semantic networks (1987)

  28. Kang, S., Patil, L., Rangarajan, A., Moitra, A., Jia, T., Robinson, D., Dutta, D.: Extraction of manufacturing rules from unstructured text using a semantic framework. In: International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, vol. 57052, American Society of Mechanical Engineers, p. V01BT02A033 (2015)

  29. García, L.E.R., Garcia, A., Bateman, J.: An ontology-based feature recognition and design rule checker for engineering. In: Workshop “Ontologies come of Age in the Semantic Web”(OCAS2011) 10 th International Semantic Web Conference Bonn, Germany, October 24, 2011, p. 48 (2011)

  30. Moitra, A., Palla, R., Rangarajan, A.: Automated capture and execution of manufacturability rules using inductive logic programming. In: Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, pp. 4028–4034 (2016)

  31. Fortineau, V., Fiorentini, X., Paviot, T., Louis-Sidney, L., Lamouri, S.: Expressing formal rules within ontology-based models using SWRL: an application to the nuclear industry. Int. J. Prod. Lifecycle Manag. 7(1), 75–93 (2014)

    Article  Google Scholar 

  32. Li, Z., Zhou, X., Wang, W.M., Huang, G., Tian, Z., Huang, S.: An ontology-based product design framework for manufacturability verification and knowledge reuse. Int. J. Adv. Manuf. Technol. 99(9), 2121–2135 (2018)

    Article  Google Scholar 

  33. Kim, K.Y., Manley, D.G., Yang, H.: Ontology-based assembly design and information sharing for collaborative product development. Comput. Aided Des. 38(12), 1233–1250 (2006)

    Article  Google Scholar 

  34. Rangarajan, A., Radhakrishnan, P., Moitra, A., Crapo, A., Robinson, D.: Manufacturability analysis and design feedback system developed using semantic framework. In: International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, vol. 55911, American Society of Mechanical Engineers, p. V004T05A001 (2013)

  35. Ye, X., Lu, Y.: Automatic extraction of engineering rules from unstructured text: a natural language processing approach. J. Comput. Inf. Sci. Eng. (2020). https://doi.org/10.1115/1.4046333

    Article  Google Scholar 

  36. Kang, S., Patil, L., Rangarajan, A., Moitra, A., Robinson, D., Jia, T., Dutta, D.: Ontology-based ambiguity resolution of manufacturing text for formal rule extraction. J. Comput. Inf. Sci. Eng. 19(2), 021003 (2019)

    Article  Google Scholar 

  37. Kang, S., Patil, L., Rangarajan, A., Moitra, A., Jia, T., Robinson, D., Dutta, D.: Extraction of formal manufacturing rules from unstructured english text. Comput. Aided Des. 134, 102990 (2021)

    Article  Google Scholar 

  38. Dey, A.K.: Understanding and using context. Pers. Ubiquit. Comput. 5(1), 4–7 (2001)

    Article  Google Scholar 

  39. van Engelenburg, S., Janssen, M., Klievink, B.: Designing context-aware systems: a method for understanding and analysing context in practice. J. Log. Algebraic Methods Program. 103, 79–104 (2019)

    Article  MathSciNet  Google Scholar 

  40. Dhuieb, M.A., Laroche, F., Bernard, A.: Context-awareness: a key enabler for ubiquitous access to manufacturing knowledge. Procedia CIRP 41, 484–489 (2016)

    Article  Google Scholar 

  41. Zhu, J., Ong, S.K., Nee, A.Y.C.: A context-aware augmented reality system to assist the maintenance operators. Int. J. Interact. Des. Manuf. (IJIDeM) 8(4), 293–304 (2014)

    Article  Google Scholar 

  42. Merrouni, Z.A., Frikh, B., Ouhbi, B.: Toward contextual information retrieval: a review and trends. Procedia Comput. Sci. 148, 191–200 (2019)

    Article  Google Scholar 

  43. Aguilar, J., Jerez, M., Rodríguez, T.: CAMeOnto: context awareness meta ontology modeling. Appl. Comput. Inform. 14(2), 202–213 (2018)

    Article  Google Scholar 

  44. Pinquié, R., Véron, P., Segonds, F., Zynda, T.: A property graph data model for a context-aware design assistant. In: IFIP International Conference on Product Lifecycle Management, Springer, Cham, pp. 181–190 (2019)

  45. Huet, A., Pinquié, R., Véron, P., Mallet, A., Segonds, F.: CACDA: a knowledge graph for a context-aware cognitive design assistant. Comput. Ind. 125, 103377 (2021)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Arts Et Metiers Institute of Technology, LCPI, HESAM Université, 75013, Paris, France

    Armand Huet & Frederic Segonds

  2. CNRS, Grenoble INP, G-SCOP, Univ. Grenoble Alpes, 38031, Grenoble, France

    Romain Pinquie

  3. Arts Et Metiers Institute of Technology, LISPEN, HESAM Université, 13617, Aix-en-Provence, France

    Philippe Veron

  4. Capgemini DEMS, 31300, Toulouse, France

    Victor Fau

Authors
  1. Armand Huet
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Romain Pinquie
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Philippe Veron
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Frederic Segonds
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Victor Fau
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Armand Huet.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Huet, A., Pinquie, R., Veron, P. et al. Design rules application in manufacturing industries: a state of the art survey and proposal of a context-aware approach. Int J Interact Des Manuf 16, 317–322 (2022). https://doi.org/10.1007/s12008-021-00821-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12008-021-00821-w

Keywords

Search

Navigation