Skip to main content

Abstract

This chapter describes product design processes in product manufacturing from a technological point of view pertaining to optimization. The importance of optimization techniques for present and future product manufacturing is clarified and fundamental strategies for product design optimization are discussed, based on concurrent engineering concepts. The details of advanced optimization methodologies using hierarchical multiobjective optimizations are then explained, and a comprehensive applied example of a machine-tool optimization is provided.

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 429.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 549.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 549.99
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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Eschenauer H, Koski, J, Osyczka A. (editors). Multicriteria design optimization. Springer, Berlin, 1990.

    MATH  Google Scholar 

  2. Yoshimura M. Integrated optimization of product design and manufacturing, control and dynamic systems — manufacturing and automation systems: techniques and technologies (Leondes CT). Academic Press, New York, 1991; 48(Part. 4 of 5), 167–219.

    Google Scholar 

  3. Yoshimura M. Concurrent optimization of product design and manufacture, concurrent engineering — contemporary issues and modern design tools. Parsaei HR, Sullivan WG (editors). Chapman and Hall, London, 1993; (Chapter 9), 159–183.

    Google Scholar 

  4. Yoshimura M. Concurrent product design and manufacturing, control and dynamic systems — concurrent engineering techniques and applications. Leondes CT (editor). Academic Press, New York, 1994; 62, 89–127.

    Google Scholar 

  5. Yoshimura M. System design optimization for product manufacturing. International Journal of Concurrent Engineering: Research and Applications 2007; Dec., 15(4):329–343.

    Google Scholar 

  6. Sobieski J. A linear decomposition method for optimization problems-blueprint for development, NASA Technical Memo 1982; 832.

    Google Scholar 

  7. McCulley C, Bloebaum CL. Ordering design tasks based on coupling strengths. American Institute of Aeronautics and Astronautics (AIAA-94-4326), 1984; 708–717.

    Google Scholar 

  8. Steward DV. The design structure system: a method for managing the design of complex systems, IEEE Trans. on Engineering Management 1981; 28(3):71–74.

    Google Scholar 

  9. Kusiak A, Chow WS. Efficient solving of the group technology problem. Journal of Manufacturing Systems 1987; 6(2):117–124.

    Article  Google Scholar 

  10. Kusiak A, Wang J. Decomposition of the design process. Trans. of the ASME Journal of Mechanical Design 1993; 115:687–694.

    Article  Google Scholar 

  11. Wagner TC, Papalambros PY. A general framework for decomposition analysis in optimal design. In: Gilmore BJ (editor). Advances in design automation. ASME, New York, 1993; 2:315–325.

    Google Scholar 

  12. Michelena NF, Papalambros PY. A hypergraph framework for optimal model-based decomposition of design problems. Computational Optimization and Applications 1997; 8(2):173–196.

    Article  MATH  MathSciNet  Google Scholar 

  13. Kim HM, Rideout DG, Papalambros PY, Stein JL. Analytical target cascading in automotive vehicle design. Trans. of ASME, Journal of Mechanical Design 2003; 125(3):481–489.

    Article  Google Scholar 

  14. Sobieszczanski-Sobieski J, Altus TD, Phillips M, Sandusky R. Bilevel. Integrated system synthesis for concurrent and distributed processing. AIAA Journal 2003; 41(10):1996–2003.

    Article  Google Scholar 

  15. Tappeta RV, Renaud JE. Multiobjective collaborative optimization. Transaction of ASME, Journal of Mechanical Design 1997; 119(3):403–411.

    Article  Google Scholar 

  16. Braun RD, Kroo IM. Development and application of the collaborative optimization architecture in a multidisciplinary design environment. Multidisciplinary design optimization: state-of-the-art, Alexandrov N, Hussaini MY (editors), Proceedings in Applied Mathematics, SIAM, Philadelphia 1995; 80.

    Google Scholar 

  17. Yoshimura M, Izui K. Smart optimization of machine systems using hierarchical genotype representations. Trans. of ASME, Journal of Mechanical Design 2002; 124(3):375–384.

    Article  Google Scholar 

  18. Yoshimura M, Izui, K. Hierarchical parallel processes of genetic algorithms for design optimization of large-scale products, Trans. of ASME, Journal of Mechanical Design 2004;126(2):217–224.

    Article  Google Scholar 

  19. Cetin OL, Saitou K. Decomposition-based assembly synthesis for maximum structural strength and modularity. Trans. of ASME, Journal of Mechanical Design 2004; 126(1):244–253.

    Article  Google Scholar 

  20. Yoshimura M, Taniguchi M, Izui K, Nishiwaki S. Hierarchical arrangement of characteristics in product design optimization. ASME Journal of Mechanical Design 2006; 128:701–709.

    Article  Google Scholar 

  21. Yoshimura M, Itani K, Hitomi K. Integrated optimization of machine product design and process design. International Journal of Production Research 1989; 27(8):1241–1256.

    Article  MATH  Google Scholar 

  22. Harrington J. Computer integrated manufacturing. Industrial Press, New York, 1973.

    Google Scholar 

  23. Arora S. Introduction to optimum design (Second Edition). Elsevier, Amsterdam, 2004.

    Google Scholar 

  24. Yoshimura M, Hamada T, Yura K, Hitomi K. Design optimization of machine-tool structures with respect to dynamic characteristics. Trans. of the ASME, Journal of Mechanisms, Transmissions, and Automation in Design 1983; March, 105(1):88–96.

    Google Scholar 

  25. Yoshimura M, Takeuchi Y, Hitomi K. Design optimization of machine-tool structures considering manufacturing cost, accuracy and productivity. Transactions of the ASME, Journal of Mechanisms, Transmissions, and Automation in Design 1984; Dec., 106(4):531–537.

    Google Scholar 

  26. Yoshimura M. Evaluation of forced and self-excited vibrations at the design stage of machine-tool structures. Trans. of the ASME, Journal of Mechanisms, Transmissions, and Automation in Design 1986; Sept., 108(3):323–329.

    Google Scholar 

  27. Yoshimura M. Design optimization of machine-tool dynamics based on clarification of competitive-cooperative relationships between characteristics. Transactions of the ASME, Journal of Mechanisms, Transmissions, and Automation in Design 1987; March, 109(1):143–150.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag London Limited

About this chapter

Cite this chapter

Yoshimura, M. (2008). Product Design Optimization. In: Misra, K.B. (eds) Handbook of Performability Engineering. Springer, London. https://doi.org/10.1007/978-1-84800-131-2_4

Download citation

  • DOI: https://doi.org/10.1007/978-1-84800-131-2_4

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84800-130-5

  • Online ISBN: 978-1-84800-131-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics