Skip to main content

Search Operators Based on TRIZ for Optimising PCB Assembly Time

Part of the Lecture Notes in Computer Science book series (LNIP,volume 13051)

Abstract

PCBs are present in most modern electronics. Manufacturers have placed a heavy emphasis on optimising manufacturing to remain competitive, especially assembly time per board in order to reduce assembly cost. The target of this research is to evaluate and study the possibilities of applying a new search operator derived based on TRIZ principles into a meta-heuristic search algorithm, the Bees Algorithm, to solve the optimisation problem of PCB assembly using a Chip Shooter Machine. The TRIZ inventive principle selected for this research was “The Other Way Around” principle. This principle was applied into Bees Algorithm, alongside proven search operators of Segmentation, Local Quality and Dynamisation. The impact of the new operator was determined by average shortest assembly time and PCB travel distance. Introducing the new operator with older operators provided shorter average solution times in 10 runs experiments and resulted in faster convergence times with lower iterations.

Keywords

  • Bees algorithm
  • Printed circuit board assembly
  • Optimization
  • Algorithm operators
  • TRIZ

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-3-030-90235-3_31
  • Chapter length: 12 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   89.00
Price excludes VAT (USA)
  • ISBN: 978-3-030-90235-3
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   119.99
Price excludes VAT (USA)
Fig. 1.
Fig. 2.
Fig. 3.
Fig. 4.

References

  1. Hsu, H.: solving feeder assignment and component sequencing problems for printed circuit board assembly using particle swarm optimization. IEEE Trans. Autom. Sci. Eng. 14, 881–893 (2017)

    CrossRef  Google Scholar 

  2. Ho, W., Ji, P.: Optimal Production Planning for PCB Assembly. Springer, London (2007)

    Google Scholar 

  3. Duman, E., Or, I.: The quadratic assignment problem in the context of the printed circuit board assembly process. Comput. Oper. Res. 34, 163–179 (2007)

    CrossRef  Google Scholar 

  4. Pham, D.T., Ghanbarzadeh, A., Koç, E., Otri, S., Rahim, S., Zaidi, M.: The bees algorithm — a novel tool for complex optimisation problems. In: Pham, D.T., Eldukhri, E.E., Soroka, A.J. (eds.) Intelligent Production Machines and Systems, pp. 454–459. Elsevier Science Ltd., Oxford (2006)

    CrossRef  Google Scholar 

  5. Ang, M.C., Ng, K.W., Pham, D.T., Soroka, A.: Simulations of PCB assembly optimisation based on the bees algorithm with TRIZ-inspired operators. In: Zaman, H.B., Robinson, P., Olivier, P., Shih, T.K., Velastin, S. (eds.) IVIC 2013. LNCS, vol. 8237, pp. 335–346. Springer, Cham (2013). https://doi.org/10.1007/978-3-319-02958-0_31

    CrossRef  Google Scholar 

  6. Ang, M.C., Pham, D.T., Soroka, A.J., Ng, K.W.: PCB assembly optimisation using the Bees Algorithm enhanced with TRIZ operators. In: IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society, pp. 2708–2713 (2010)

    Google Scholar 

  7. Ang, M.C., Pham, D.T., Ng, K.W.: Application of the bees algorithm with TRIZ-inspired operators for PCB assembly planning. . In: Soroka, A.J., Pham, D.T., Eldukhri, E.E. (eds.) Proceedings of 5th Virtual International Conference on Innovative Production Machines and Systems Virtual Conference (I*PROMS 2009), pp. 405–410. Whittles Publishing, Cardiff Unversity, Cardiff (2009)

    Google Scholar 

  8. Ball, M.O., Michael, J.M.: Sequencing of insertions in printed circuit board assembly. Oper. Res. 36, 192–201 (1988)

    CrossRef  MathSciNet  Google Scholar 

  9. Chan, D., Mercier, D.: IC insertion: an application of the travelling salesman problem. Int. J. Prod. Res. 27, 1837–1841 (1989)

    CrossRef  Google Scholar 

  10. Leu, M.C., Wong, H., Ji, Z.: Planning of component placement/insertion sequence and feeder setup in PCB assembly using genetic algorithm. ASME J. Electron. Pack. 115, 424–432 (1993)

    CrossRef  Google Scholar 

  11. Kirkpatrick, S., Gelatt, C., Vecchi, M.: Optimization by simulated annealing. Science 220, 671–680 (1983)

    CrossRef  MathSciNet  Google Scholar 

  12. Pham, D.T., Castellani, M.: The bees algorithm: Modelling foraging behaviour to solve continuous optimization problems. Proc. Inst. Mech. Eng. C J. Mech. Eng. Sci. 223, 2919–2938 (2009)

    CrossRef  Google Scholar 

  13. Castellani, M., Otri, S., Pham, D.: Printed circuit board assembly time minimisation using a novel bees algorithm. Comput. Ind. Eng. 133, 186–194 (2019)

    CrossRef  Google Scholar 

  14. Baronti, L., Castellani, M., Pham, D.: An analysis of the search mechanisms of the bees algorithm. Swarm Evol. Comput. 59, 100746 (2020)

    CrossRef  Google Scholar 

  15. Ercin, O., Coban, R.: Comparison of the artificial bee colony and the bees algorithm for PID controller tuning. In: 2011 International Symposium on Innovations in Intelligent Systems and Applications, pp. 595–598 (2011)

    Google Scholar 

  16. Orloff, M.A.: Inventive thinking through TRIZ : a practical guide (2006)

    Google Scholar 

  17. Altshuller, G.S., Fedossev, U., Shulyak, L.: 40 principles, Triz keys to technical innovation. Technical Innovation Center, Worcester, Mass (2002)

    Google Scholar 

  18. Ilevbare, I.M., Probert, D., Phaal, R.: A review of TRIZ, and its benefits and challenges in practice. Technovation 33, 30–37 (2013)

    CrossRef  Google Scholar 

  19. Ahmad, S.A., Ng, K.W., Airdzaman, S.H., Ang, M.C., Suliano, S.B.: Improving queuing system with limited resources using TRIZ and arena simulation. Int. J. Innov. Technol. Explor. Eng. (IJITEE) 9 (2020)

    Google Scholar 

  20. Ang, M.C., Ng, K.W., Ahmad, S.A., Wahab, A.N.A.: Using TRIZ to generate ideas to solve the problem of the shortage of ICT workers. Appl. Mech. Mater. 564, 733–739 (2014)

    CrossRef  Google Scholar 

  21. Kahraman, C. (ed.): Computational Intelligence Systems in Industrial Engineering : With Recent Theory and Applications. Atlantis Press, Pari (2012)

    Google Scholar 

Download references

Acknowledgements

The authors would like to thank the Universiti Kebangsaan Malaysia and the Ministry of Higher Education, Malaysia, for supporting the work through research grants, GUP-2018–124 and FRGS/1/2018/TK03/UKM/02/6.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mei Choo Ang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Verify currency and authenticity via CrossMark

Cite this paper

Lim, J.C., Ng, K.W., Ang, M.C. (2021). Search Operators Based on TRIZ for Optimising PCB Assembly Time. In: , et al. Advances in Visual Informatics. IVIC 2021. Lecture Notes in Computer Science(), vol 13051. Springer, Cham. https://doi.org/10.1007/978-3-030-90235-3_31

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-90235-3_31

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-90234-6

  • Online ISBN: 978-3-030-90235-3

  • eBook Packages: Computer ScienceComputer Science (R0)