Skip to main content

Processes and Methods for Adaptable Design

  • Chapter
  • First Online:
Adaptable Design

Part of the book series: Research on Intelligent Manufacturing ((REINMA))

  • 102 Accesses

Abstract

Since the introduction of adaptable design, research has been conducted to formulate the guidelines, processes for adaptable design to improve adaptability. In this section, guidelines, processes related to product adaptability are discussed. Product adaptation is conducted by users for extension of the product utility.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 139.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 179.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Y. Akao, Quality Function Deployment: Integrating Customer Requirements into Product Design (Productivity Press, Cambridge, MA, USA, 1990)

    Google Scholar 

  2. J.S. Arora, Introduction to Optimum Design (McGraw-Hill, New York, NY, USA, 1989)

    Google Scholar 

  3. A. Brem, P.A. Nylund, G. Schuster, Innovation and de facto standardization: the influence of dominant design on innovative performance, radical innovation, and process innovation. Technovation 50–52, 79–88 (2016)

    Article  Google Scholar 

  4. K.M. Chen, R.J. Liu, Interface strategies in modular product innovation. Technovation 25(7), 771–782 (2005)

    Article  Google Scholar 

  5. Q. Cheng, W. Li, D. Xue, Z. Liu, P. Gu, K. Li, Design of adaptable product platform for heavy-duty gantry milling machines based on sensitivity design structure matrix. J. Mech. Eng. Sci. 231(24), 4495–4511 (2017)

    Article  Google Scholar 

  6. K. Dubey, V. Yadava, Robust parameter design and multi-objective optimization of laser beam cutting for aluminium alloy sheet. Int. J. Adv. Manuf. Technol. 38(3–4), 268–277 (2008)

    Article  Google Scholar 

  7. M. Gadalla, D. Xue, An approach to identify the optimal configurations and reconfiguration processes for design of reconfigurable machine tools. Int. J. Prod. Res. 56(11), 3880–3900 (2018)

    Article  Google Scholar 

  8. P. Gu, Adaptable design with flexible interface systems. Trans. Soc. Des. Process Sci. (SDPS) 8(3), 61–74 (2004)

    Google Scholar 

  9. M. Hashemian, Design for adaptability. Ph.D. dissertation (Department of Mechanical Engineering, University of Saskatchewan, Saskatoon, Canada, 2005)

    Google Scholar 

  10. G. Hong, L. Hu, D. Xue, Y.L. Tu, Y.L. Xiong, Identification of the optimal product configuration and parameters based on individual customer requirements on performance and costs in one-of-a-kind production. Int. J. Prod. Res. 46(12), 3297–3326 (2008)

    Article  Google Scholar 

  11. C. Hu, Q. Peng, P. Gu, Interface adaptability for an industrial painting machine. Comput.-Aided Des. Appl. 11(2), 182–192 (2014)

    Article  Google Scholar 

  12. C. Hu, Q. Peng, P. Gu, Adaptable interface design for open-architecture product. Comput.-Aided Des. Appl. 12(2), 1–10 (2015)

    Article  Google Scholar 

  13. E.K.R.E. Huizingh, Open innovation: state of the art and future perspectives. Technovation 31(1), 2–9 (2011)

    Article  Google Scholar 

  14. Y.T. Ko, Modeling a hybrid-compact design matrix for new product innovation. Comput. Ind. Eng. 107, 345–359 (2017)

    Article  Google Scholar 

  15. Y. Koren, S.J. Hu, P. Gu, M. Shpitalni, Open-architecture products. Ann. CIRP 62(2), 719–729

    Google Scholar 

  16. J.R. Koza, Genetic Programming: On the Programming of Computers by Means of Natural Selection (The MIT Press, Cambridge, MA, USA, 1992)

    Google Scholar 

  17. Y. Li, Design for product adaptability. M.Sc. thesis (Department of Mechanical and Manufacturing Engineering. University of Calgary, Calgary, Canada, 2007)

    Google Scholar 

  18. Y. Li, P. Gu, D. Xue, Design process for product adaptability: method and application, in Proceedings of the 16th CIRP International Design Seminar, Kananaskis. Alberta, Canada (2006), pp. 448–455

    Google Scholar 

  19. L. Ma, B. Forouraghi, A hyperspherical particle swarm optimizer for robust engineering design. Int. J. Adv. Manuf. Technol. 67(5–8), 1091–1102 (2013)

    Article  Google Scholar 

  20. H. Ma, Q. Peng, J. Zhang, P. Gu, Assembly sequence planning for open-architecture products. Int. J. Adv. Manuf. Technol. 94, 1551–1564 (2018)

    Article  Google Scholar 

  21. J. MacQueen, Some methods for classification and analysis of multivariate observations, in Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, Berkeley, CA, USA (1967), pp. 281–297

    Google Scholar 

  22. M. Martinez, D. Xue, A modular design approach for modeling and optimization of adaptable products considering the whole product life-cycle spans. J. Mech. Eng. Sci. 232(7), 1146–1164 (2018)

    Article  Google Scholar 

  23. M. Orihata, C. Watanabe, Evolutional dynamics of product innovation: the case of consumer electronics. Technovation 20(8), 437–449 (2000)

    Article  Google Scholar 

  24. Q. Peng, Y. Liu, J. Zhang, Personalization for massive product innovation using open architecture. Chin. J. Mech. Eng. 31(1), 34 (2018)

    Article  Google Scholar 

  25. Q. Peng, Y. Liu, P. Gu, Development of an open-architecture electric vehicle using adaptable design, in ed. by A. Azevedo, Advances in Sustainable and Competitive Manufacturing Systems (2013), pp. 79–90.

    Google Scholar 

  26. Q. Peng, Y. Liu, P. Gu, Z. Fan, Development of an open-architecture electric vehicle using adaptable design, in Lecture Notes in Mechanical Engineering (Springer, Switzerland, 2013)

    Google Scholar 

  27. Q. Peng, Y. Liu, P. Gu, Improvement of product adaptability by efficient module interactions, in Proceedings of the ASME Design Engineering Technical Conference. DETC2014-35183 (2014)

    Google Scholar 

  28. S. Russell, P. Norvig, Artificial Intelligence: A Modern Approach (Prentice Hall, Upper Saddle River, NJ, USA, 2002)

    Google Scholar 

  29. K.C. Sih, The Theory of Grey Information Relation (Chun-Hwa Publishing Co., Taipei, 1997)

    Google Scholar 

  30. N. Suh, Axiomatic Design: Advances and Applications (Oxford University Press, New York, 2001)

    Google Scholar 

  31. H. Wang, Q. Peng, J. Zhang, P. Gu, Selective disassembly planning for the end-of-life product. Procedia CIRP 512–517 (2017)

    Google Scholar 

  32. D. Xue, A multi-level optimization approach considering product realization process alternatives and parameters for improving manufacturability. J. Manuf. Syst. 16(5), 337–351 (1997)

    Article  Google Scholar 

  33. D. Xue, G. Hua, V. Mehrad, P. Gu, Optimal adaptable design for creating the changeable product based on changeable requirements considering the whole product life-cycle. J. Manuf. Syst. 31(1), 59–68 (2012)

    Article  Google Scholar 

  34. H. Yang, D. Xue, Y.L. Tu, Modeling of the non-linear relations among different design and manufacturing evaluation measures for multi-objective optimal concurrent design. Concur. Eng.: Res. Appl. 14(1), 43–53 (2006)

    Article  Google Scholar 

  35. J. Zhang, Y. Chen, D. Xue, P. Gu, Robust design of configurations and parameters of adaptable products. Front. Mech. Eng. 9(1), 1–14 (2014)

    Article  Google Scholar 

  36. J. Zhang, D. Xue, P. Gu, Adaptable design of open architecture products with robust performance. J. Eng. Des. 26(1–3), 1–23 (2015)

    Article  Google Scholar 

  37. C. Zhao, Q. Peng, Development of a paper-bag-folding machine using open architecture for adaptability. Proc. Inst. Mech. Eng. Part B J. Eng. Manuf. 229(S1), 155–169 (2015)

    Article  Google Scholar 

  38. F. Zhou, Y. Ji, R.J. Jiao, Affective and cognitive design for mass personalization. J. Intell. Manuf. 24(5), 1047–1069 (2013)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Peihua Gu .

Rights and permissions

Reprints and permissions

Copyright information

© 2024 Huazhong University of Science and Technology Press

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Gu, P., Xue, D., Peng, Q., Zhang, J. (2024). Processes and Methods for Adaptable Design. In: Adaptable Design. Research on Intelligent Manufacturing. Springer, Singapore. https://doi.org/10.1007/978-981-99-5869-6_4

Download citation

  • DOI: https://doi.org/10.1007/978-981-99-5869-6_4

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-5868-9

  • Online ISBN: 978-981-99-5869-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics