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Simulations of PCB Assembly Optimisation Based on the Bees Algorithm with TRIZ-Inspired Operators

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Advances in Visual Informatics (IVIC 2013)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8237))

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Abstract

The process of assembling electronic components on a printed circuit board (PCB) with moving board time delay characteristic involves complex co-ordination of a component feeding system, a pick and place system and the positioning movement of the PCB board. Different component arrangements in the feeder system and different assembly paths influence the total assembly time. Reducing the total assembly time can deliver significant cost savings. In this research work, the application of simulation to component assembly enables process engineers to visualise, compare assembly paths and the arrangement of the feeders as well as to verify the total assembly time achieved. This allows the process engineers to make better decision on the planning of the PCB assembly process. The paper shows that simulation when coupled with optimisation techniques enable process engineers to make and plan improvements in PCB assembly times.

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References

  1. Khoo, L.P., Ng, T.K.: A genetic algorithm-based planning system for PCB component placement. Int. Journal of Production Economics (1998)

    Google Scholar 

  2. Ong, N.-S., Khoo, L.P.: Genetic algorithm approach in PCB assembly. Integrated Manufacturing Systems 10, 256–265 (1999)

    Article  Google Scholar 

  3. Ong, N.-S., Tan, W.-C.: Sequence placement planning for high-speed PCB assembly machine. Integrated Manufacturing Systems 13, 35 (2002)

    Article  Google Scholar 

  4. Ho, W., Ji, P.: A hybrid genetic algorithm for component sequencing and feeder arrangement. Journal of Intelligent Manufacturing 15, 307–315 (2004)

    Article  Google Scholar 

  5. Ho, W., Ji, P.: A genetic algorithm to optimise the component placement process in PCB assembly. The Int. Journal of Advanced Manufacturing Technology 26, 1397–1401 (2005)

    Article  Google Scholar 

  6. Ho, W., Ji, P., Wu, Y.: A heuristic approach for component scheduling on a high-speed PCB assembly machine. Production Planning and Control 18, 655–665 (2007)

    Article  Google Scholar 

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

    Article  Google Scholar 

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

    Google Scholar 

  9. Ang, M.C., Pham, D.T., Ng, K.W.: Application of the Bees Algorithm with TRIZ-inspired operators for PCB assembly planning. In: Proceedings of 5th International Virtual Conference on Innovative Production Machines and Systems (I*PROMS 2009). Cardiff University (2009)

    Google Scholar 

  10. Moyer, L.K., Gupta, S.M.: Simultaneous component sequencing and feeder assignment for high speed chip shooter machines. Journal of Electronics Manufacturing 6, 271–305 (1996)

    Article  Google Scholar 

  11. 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 

  12. Souza, R., Lijun, W.: Intelligent optimization of component onsertion in multi-head concurrent operation PCBA machines. Journal of Intelligent Manufacturing 6, 235–243 (1995)

    Article  Google Scholar 

  13. Ho, W., Ji, P.: Integrated component scheduling models for chip shooter machines. International Journal of Production Economics 123, 31–41 (2010)

    Article  Google Scholar 

  14. Klomp, C., van de Klundert, J., Spieksma, F.C.R., Voogt, S.: The feeder rack assignment problem in PCB assembly: A case study. International Journal of Production Economics 64, 399–407 (2000)

    Article  Google Scholar 

  15. Ho, W., Ji, P.: Component scheduling for chip shooter machines: A hybrid genetic algorithm approach. Computers and Operations Research 30, 2175–2189 (2003)

    Article  MATH  Google Scholar 

  16. Pham, D.T., Otri, S., Haj Darwish, A.: Application of the Bees Algorithm to PCB assembly optimisation. In: Pham, D.T., Eldukhri, E.E., Soroka, A.J. (eds.) Proc. 3rd Virtual Int. Conf. on Innovative Production Machines and Systems (I*PROMS 2007), pp. 511–516. Whittles Pub. (2007)

    Google Scholar 

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Ang, M.C., Ng, K.W., Pham, D.T., Soroka, A. (2013). 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) Advances in Visual Informatics. IVIC 2013. Lecture Notes in Computer Science, vol 8237. Springer, Cham. https://doi.org/10.1007/978-3-319-02958-0_31

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  • DOI: https://doi.org/10.1007/978-3-319-02958-0_31

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02957-3

  • Online ISBN: 978-3-319-02958-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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