Skip to main content
Log in

Robust design of configurations and parameters of adaptable products

  • Research Article
  • Published:
Frontiers of Mechanical Engineering Aims and scope Submit manuscript

Abstract

An adaptable product can satisfy different customer requirements by changing its configuration and parameter values during the operation stage. Design of adaptable products aims at reducing the environment impact through replacement of multiple different products with single adaptable ones. Due to the complex architecture, multiple functional requirements, and changes of product configurations and parameter values in operation, impact of uncertainties to the functional performance measures needs to be considered in design of adaptable products. In this paper, a robust design approach is introduced to identify the optimal design configuration and parameters of an adaptable product whose functional performance measures are the least sensitive to uncertainties. An adaptable product in this paper is modeled by both configurations and parameters. At the configuration level, methods to model different product configuration candidates in design and different product configuration states in operation to satisfy design requirements are introduced. At the parameter level, four types of product/operating parameters and relations among these parameters are discussed. A two-level optimization approach is developed to identify the optimal design configuration and its parameter values of the adaptable product. A case study is implemented to illustrate the effectiveness of the newly developed robust adaptable design method.

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.

Similar content being viewed by others

References

  1. Gu P, Hashemina M, Nee AY C. Adaptable design. CIRP Annals — Manufacturing Technology, 2004, 53(2): 539–557

    Article  Google Scholar 

  2. Koren Y, Hu S J, Gu P, Shpitalni M.Open-architecture products. CIRP Annals — Manufacturing Technology, 2013, 62(2): 719–729

    Article  Google Scholar 

  3. Gu P, Xue D, Nee AY C. Adaptable design: concepts, methods and applications. Proceedings of the Institution of Mechanical Engineers. Part B, Journal of Engineering Manufacture, 2009, 223(11): 1367–1387

    Article  Google Scholar 

  4. Li Y, Xue D, Gu P. Design for product adaptability. Concurrent Engineering: Research and Applications, 2008, 16(3): 221–232

    Article  Google Scholar 

  5. Fletcher D, Brennan R W, Gu P. A method for quantifying adaptability in engineering design. Concurrent Engineering: Research and Applications, 2009, 17(4): 279–289

    Article  Google Scholar 

  6. Cheng Q, Zhang G, Liu Z, Gu P, Cai L. A structure-based approach to evaluation product adaptability in adaptable design. Journal of Mechanical Science and Technology, 2011, 25(5): 1081–1094

    Article  Google Scholar 

  7. Xue D, Hua G, Mehrad V, Gu P. Optimal adaptable design for creating the changeable product based on changeable requirements considering the whole product life-cycle. Journal of Manufacturing Systems, 2012, 31(1): 59–68

    Article  Google Scholar 

  8. Zhang J, Gu P, Bao N, Zhang G. Analytical robust design of mechanical systems. In: Proceedings of the ASME 2008 international design engineering technical conferences & computers and information in engineering conference. New York, 2008

    Google Scholar 

  9. Taguchi G. Performance analysis design. International Journal of Production Research, 1978, 16(6): 521–530

    Article  Google Scholar 

  10. Taguchi G. Taguchi on Robust Technology Development: Bringing Quality Engineering Upstream. New York: ASME Press, 1993

    Book  Google Scholar 

  11. Parkinson A, Sorensen C, Pourhassan N. A general approach for robust optimal design. Journal of Mechanical Design, Transactions of the ASME, 1993, 115(1): 74–80

    Article  Google Scholar 

  12. Zhang J, Bao N, Zhang G, Gu P. Analytical approach to robust design of nonlinear mechanical system. Frontiers of Mechanical Engineering, 2009, 4(2): 203–214

    Article  Google Scholar 

  13. Du X, Chen W. Towards a better understanding of modeling feasibility robustness in engineering design. Journal of Mechanical Design, Transactions of the ASME, 2000, 122(4): 385–394

    Article  Google Scholar 

  14. Fonseca J R, Friswell M I, Lees A W. Efficient robust design via Monte Carlo sample reweighting. International Journal for Numerical Methods in Engineering, 2007, 69(11): 2279–2301

    Article  MATH  Google Scholar 

  15. Kumar A, Nair P, Keane A, Shahpar S. Robust design using Bayesian Monte Carlo. International Journal for Numerical Methods in Engineering, 2008, 73(11): 1497–1517

    Article  MATH  Google Scholar 

  16. Samadiani E, Joshi Y, Allen J K, Mistree F. Adaptable robust design of multi-scale convective systems applied to energy efficient data centers. Numerical Heat Transfer, Part A, Application. An International Journal of Computation and Methodology, 2009, 57 (2): 69–100

    Article  Google Scholar 

  17. Zhang J, Li S, Bao N, Zhang G, Xue D, Gu P. A robust design approach to determination of tolerance of mechanical products. CIRP Annals — Manufacturing Technology, 2010, 59(1): 195–198

    Article  Google Scholar 

  18. Hu W, Azarm S, Almansoori A. New approximation assisted multi-objective collaborative robust optimization (new AA-McRO) under interval uncertainty. Structural and Multidisciplinary Optimization, 2013, 47(1): 19–35

    Article  MATH  MathSciNet  Google Scholar 

  19. Zhang J, Xue D, Gu P. Robust adaptable design considering changes of parameter values in product operation stage. In: Proceedings of the 22nd CIRP design conference. Bangalore, 2012

    Google Scholar 

  20. Hong G, Hu L, Xue D, Tu Y L, Xiong Y L. Identification of the optimal product configuration and parameters based on individual customer requirements on performance and costs in one-of-a-kind production. International Journal of Production Research, 2008, 46 (12): 3297–3326

    Article  MATH  Google Scholar 

  21. Parameswaran M A, Ganapathy S. Vibratory conveying — analysis and design: a review. Mechanism and Machine Theory, 1979, 14(2): 89–97

    Article  Google Scholar 

  22. Li Y, Chen Y. Technology improvement on electromagnetic vibration bowel feeder. Modern Manufacturing Engineering, 2005, 5: 109–111

    Google Scholar 

  23. Luo Y. Study on characteristic and control of electromagnetic vibration feeder. Packaging Engineering, 2005, 26(4): 54–56

    Google Scholar 

  24. Rao S S. Mechanical Vibrations. New Jersey: Prentice Hall, 2011

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Peihua Gu.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Zhang, J., Chen, Y., Xue, D. et al. Robust design of configurations and parameters of adaptable products. Front. Mech. Eng. 9, 1–14 (2014). https://doi.org/10.1007/s11465-014-0296-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11465-014-0296-8

Keywords

Navigation