Skip to main content

Advertisement

Log in

Bionic knowledge and information reuse methodology for uncertainty minimization in product design

  • Regular Paper
  • Published:
Knowledge and Information Systems Aims and scope Submit manuscript

Abstract

The design process involves multiple stages to provide the solution for an actual or perceived need. The process needs different information at different stages to generate the desired output, but most of the time, the information is uncertain. Information uncertainty almost always makes design decision critical. The present work aims to reduce this information uncertainty in product design by reusing previous design knowledge. Reusing an existing ontology is an obvious way to minimize information uncertainty, and consequently, it can shorten the manufacturing lead time. However, the existing techniques have a few gaps that are still unaddressed. To fill these gaps, a methodology based on bionic engineering is proposed in this work for the purpose of design reuse in product development. Here, for the representation and manipulation of the knowledge, bionic-based reasoning approach is used for the development of the new product with the help of bionic reverse engineering. The proposed methodology is validated by illustrating an example of shoe design suitable to maneuver ill-conditioned roads. This work would be useful to the design and manufacturing practitioner in product development and decision making.

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

Access this article

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

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  1. Regli WC, Cicirello VA (2000) Managing digital libraries for computer-aided design. Comput Aided Des 32(2):119–132

    Article  Google Scholar 

  2. Duffy AHB, Smith JS, Duffy SM (1998) Design reuse research: a computational perspective. In: Sivaloganathan S, Shahin TMM (eds) Proceedings of engineering design conference ’98 on design reuse, professional engineering publishing limited, London, June 1998, pp 43–56

  3. Duffy SM, Duffy AHB, MacCallum KJ (1995) A design reuse model. In: Proceedings of the international conference on engineering design (ICED 95). Heurista, pp 490–495. ISBN 3856930280

  4. Court AW, Culley SJ, McMahon CA (1993) The information requirements of engineering designers. In: Proceedings of the international conference on engineering design

  5. Baudin C, Gevins J, Baya V, Mabogunje A (1991) Dedal: using domain concepts to index engineering design information. In: Proceedings of the ninth national conference on artificial intelligence, AAAI, Anaheim, CA, pp 702–707

  6. Yang M, Cutkosky M (1999) Machine generation of thesauri: adapting to evolving vocabularies in design documentation. In: Proceedings of the international conference on engineering design ICED99

  7. Zhang WY, Tor SB, Britton GA (2006) Indexing and retrieval in case-based process planning for multi-stage non-axisymmetric deep drawing. Int J Adv Manuf Technol 28(1–2):12–22

    Article  Google Scholar 

  8. Ormerod TC, Mariani JA, Ball LJ, Lambell NJ (1999) Desperado: three in-one indexing for innovative design. In: Sasse MA, Johnson C (eds) Proceedings of the seventh IFIP conference on human–computer interaction—INTERACT ’99. IOS Press, London, pp 336–343

  9. Ball LJB, Lambell N, Ormerod TC, Slavin S, Mariani J (1999) Representing design rationale to support innovative design reuse: a minimalist approach. In: Proceedings of 4th design thinking research symposium on design representation, March 1999. MIT, Cambridge, MA

  10. Peng C, Cerulli C, Lawson B, Cooper G, Rezqui Y, Jackson M (2000) Recording and managing design decision-making processes through an object-oriented framework. In: 5th international conference on design and decision support systems in architecture and urban planning

  11. Altmeyer J, Ohnsorge S, Schürmann B (1994) Reuse of design objects in CAD frameworks. In: Proceedings of the 1994 IEEE/ACM international conference on computer-aided design. IEEE Computer Society Press, pp 754–761

  12. Altmeyer J, Schürmann B (1996) On design formalization and retrieval of reuse candidates. In: Artificial intelligence in design’96. Springer Netherlands, pp 231–250

  13. Preece A, Hui KY, Gray A, Marti P, Bench-Capon T, Jones D, Cui Z (2000) The KRAFT architecture for knowledge fusion and transformation. Knowl Based Syst 13(2):113–120

    Article  Google Scholar 

  14. Preece A, Hui K, Gray A, Marti P, Bench-Capon T, Cui Z, Jones D (2001) KRAFT: an agent architecture for knowledge fusion. Int J Coop Inf Syst 10(01n02):171–195

    Article  Google Scholar 

  15. I-Iuhns MN, Acosta RD (1992) Argo: an analogical reasoning system for solving design problems. Artif Intell Eng Des Vol II Models Innov Des Reason Phys Syst Reason Geom 2:105

    Google Scholar 

  16. Aamodt A, Plaza E (1994) Case-based reasoning: foundational issues, methodological variations, and system approaches. AI Commun 7(1):39–59

    Google Scholar 

  17. Maher ML, de Silva Garza AG (1996) Developing case-based reasoning for structural design. IEEE Intell Syst 11(3):42–52

    Google Scholar 

  18. Maher ML (1997) Casecad and cadsyn. Issues and applications of case-based reasoning in design, pp 161–185

  19. Pearce M, Goel AK, Kolodner JL, Zimring C, Sentosa L, Billington R (1992) Case-based design support: a case study in architectural design. IEEE Expert 7(5):14–20

    Article  Google Scholar 

  20. Lee CK, Lau HC, Yu KM, Fung RY (2004) Development of a dynamic data interchange scheme to support product design in agile manufacturing. Int J Prod Econ 87(3):295–308

    Article  Google Scholar 

  21. Duffy AHB, Ferns AF (1999) An analysis of design reuses benefits. In: Proceedings of the 12th international conference on engineering design (ICED ’99). Design Society, pp 799–804

  22. Duffy AH, Persidis A, MacCallum KJ (1996) NODES: a numerical and object based modelling system for conceptual engineering design. Knowl Based Syst 9(3):183–206

    Article  Google Scholar 

  23. Gu P, Hashemian M, Nee AYC (2004) Adaptable design. CIRP Ann Manuf Technol 53(2):539–557

    Article  Google Scholar 

  24. Zhang Y (1998) Computer based knowledge modeling and management to support design evolution. Ph.D. thesis, CAD Centre, University of Strathclyde, 75 Montrose Street, Glasgow G1IXJ, United Kingdom

  25. Gozali F (2013) Case based reasoning in engineering design. Jurnal Teknik Elektro 2(1):13–28

    Google Scholar 

  26. Ascough Ii JC, Maier HR, Ravalico JK, Strudley MW (2008) Future research challenges for incorporation of uncertainty in environmental and ecological decision-making. Ecol Model 219(3):383–399

    Article  Google Scholar 

  27. Walker WE, Harremoës P, Rotmans J, van der Sluijs JP, van Asselt MB, Janssen P, Krayer von Krauss MP (2003) Defining uncertainty: a conceptual basis for uncertainty management in model-based decision support. Integr Assess 4(1):5–17

    Article  Google Scholar 

  28. Sigel K, Klauer B, Pahl-Wostl C (2010) Conceptualising uncertainty in environmental decision-making: the example of the EU water framework directive. Ecol Econ 69(3):502–510

    Article  Google Scholar 

  29. Chowdhury S, Gibb F, Landoni M (2011) Uncertainty in information seeking and retrieval: a study in an academic environment. Inf Process Manag 47(2):157–175

    Article  Google Scholar 

  30. Otegi A, Arregi X, Ansa O, Agirre E (2015) Using knowledge-based relatedness for information retrieval. Knowl Inf Syst 44(3):689–718

    Article  Google Scholar 

  31. Huang Y, Jiang Z, Liu L, Song B, Han L (2015) Building a knowledge map model situated in product design. Int J Inf Technol Manag 14(1):76–94

    Google Scholar 

  32. Xu Y, Hu LC, Zeng W, Jin B (2010) Web-service-based parametric design reuse for parts. Int J Adv Manuf Technol 46(5–8):423–429

    Article  Google Scholar 

  33. Jin B, Teng HF, Wang YS, Qu FZ (2008) Product design reuse with parts libraries and an engineering semantic web for small-and medium-sized manufacturing enterprises. Int J Adv Manuf Technol 38(11–12):1075–1084

    Article  Google Scholar 

  34. Vianello G, Ahmed-Kristensen S (2012) A comparative study of changes across the lifecycle of complex products in a variant and a customised industry. J Eng Des 23(2):99–117

    Article  Google Scholar 

  35. Ong SK, Guo DO (2006) An online Web-based environment for detailed design reuse. Int J Adv Manuf Technol 27(5–6):462–467

    Article  Google Scholar 

  36. Busby JS (1999) The problem with design reuse: an investigation into outcomes and antecedents. J Eng Des 10(3):277–296

    Article  MathSciNet  Google Scholar 

  37. Jin Xu, Shi Bairu, Zheng Lichen, Pei Xiaohan, Zhang Xiyao, Sun Ziqi, Yi Du et al (2014) Bio-inspired multifunctional metallic foams through the fusion of different biological solutions. Adv Funct Mater 24(18):2721–2726

    Article  Google Scholar 

  38. Wen HI, Zhang SJ, Hapeshi K, Wang XF (2008) An innovative methodology of product design from nature. J Bionic Eng 5(1):75–84

    Article  Google Scholar 

  39. Zheng Y, Gao X, Jiang L (2007) Directional adhesion of superhydrophobic butterfly wings. Soft Matter 3(2):178–182

    Article  Google Scholar 

  40. Xia F, Jiang L (2008) Bio-inspired, smart, multiscale interfacial materials. Adv Mater 20(15):2842–2858

    Article  Google Scholar 

  41. Liu K, Jiang L (2011) Bio-inspired design of multiscale structures for function integration. Nano Today 6(2):155–175

    Article  Google Scholar 

  42. Koch K, Bhushan B, Jung YC, Barthlott W (2009) Fabrication of artificial Lotus leaves and significance of hierarchical structure for superhydrophobicity and low adhesion. Soft Matter 5(7):1386–1393

    Article  Google Scholar 

  43. Bhushan B (2009) Biomimetics: lessons from nature—an overview. Philos Trans R Soc A Math Phys Eng Sci 367(1893):1445–1486

    Article  Google Scholar 

  44. Stegmaier T, Linke M, Planck H (2009) Bionics in textiles: flexible and translucent thermal insulations for solar thermal applications. Philos Trans R Soc A Math Phys Eng Sci 367(1894):1749–1758

    Article  Google Scholar 

  45. Fratzl P (2008) Bone fracture: when the cracks begin to show. Nat Mater 7(8):610–612

    Article  Google Scholar 

  46. Liu M, Wang S, Wei Z, Song Y, Jiang L (2009) Bioinspired design of a superoleophobic and low adhesive water/solid interface. Adv Mater 21(6):665–669

    Article  Google Scholar 

  47. Yoshioka S, Kinoshita S (2002) Effect of macroscopic structure in iridescent color of the peacock feathers. FORMA TOKYO 17(2):169–181

    Google Scholar 

  48. Becker N, Oroudjev E, Mutz S, Cleveland JP, Hansma PK, Hayashi CY, Hansma HG (2003) Molecular nanosprings in spider capture-silk threads. Nat Mater 2(4):278–283

    Article  Google Scholar 

  49. Swanson BO, Blackledge TA, Hayashi CY (2007) Spider capture silk: performance implications of variation in an exceptional biomaterial. J Exp Zool Part A Ecol Genet Physiol 307(11):654–666

    Article  Google Scholar 

  50. Kroes P (2002) Design methodology and the nature of technical artefacts. Des Stud 23(3):287–302

    Article  Google Scholar 

  51. Zhou B, Pei J (2012) Aggregate keyword search on large relational databases. Knowl Inf Syst 30(2):283–318

    Article  Google Scholar 

  52. Zhang L, Liu Z, Li L, Shen C, Li T (2017) PatSearch: an integrated framework for patentability retrieval. Knowl Inf Syst 1–24. https://doi.org/10.1007/s10115-017-1127-0

  53. Bentley JL (1979) Multidimensional binary search trees in database applications. IEEE Trans Softw Eng 4:333–340

    Article  MATH  Google Scholar 

  54. Mak TW, Shu LH (2004) Abstraction of biological analogies for design. CIRP Ann Manuf Technol 53(1):117–120

    Article  Google Scholar 

  55. Linsey JS, Wood KL, Markman AB (2008) Modality and representation in analogy. Artif Intell Eng Des Anal Manuf 22(2):85–100

    Article  Google Scholar 

  56. Vincent J, Bogatyreva O, Bogatyrev N, Bowyer A, Pahl A (2006) Biomimetics: its practice and theory. J R Soc Interface 3(9):471–482

    Article  Google Scholar 

  57. Junior W, Guanabara A, Silva E, Platcheck E (2002) Proposta de uma Metodologia para o Desenvolvimento de Produtos Baseados no Estudo da Biónica. P&D-Pesquisa e Design, Brasília

    Google Scholar 

  58. Biomimicry Institute (2007) Biomimicry—a tool for innovation. http://biomimicry.org/what-is-biomimicry/

  59. Helms M, Vattam SS, Goel A (2009) Biologically inspired design: process and products. Des Stud 30:606–622

    Article  Google Scholar 

  60. Gilbert BM (1993) Mammalian osteology. Missouri Archaeological Society, Laramie

    Google Scholar 

  61. Kumar P, Tandon P (2017) Classification and mitigation of uncertainty as per the product design stages: framework and case study. J Braz Soc Mech Sci Eng 39(11):4785–4806

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Puneet Tandon.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kumar, P., Tandon, P. Bionic knowledge and information reuse methodology for uncertainty minimization in product design. Knowl Inf Syst 57, 287–309 (2018). https://doi.org/10.1007/s10115-018-1159-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10115-018-1159-0

Keywords

Navigation