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Analysis of energy efficiency and productivity in dry process in PCB manufacturing

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Abstract

Generally, the cleaning process in printed circuit board (PCB) manufacturing consists of prewash, wash, rinse, and drying stages. The prewash stage rinses off the gross contaminants from the board before the wash stage. In the wash stage, spray bar and nozzle assembly is used to remove all remaining contaminants. An anti-dragout section exists between the wash and the rinse stages. The use of an air in this section helps prevent any liquid dragout from the wash to the rinse tank. Some cleaners also have a wet isolation that provides further rinsing off the wash water from the PCB. As the last stage of the cleaning process, at drying stage, high temperature and high pressure air is used to get rid of the remaining moist thoroughly. By the way, it is known that the dry process consumes a moderately large amount of electric power since high temperature and high pressure air are required in this stage. However, if the due date of a certain PCB product is not too much tight, it would be not necessary to increase the temperature and pressure to proceed with drying. Thus, in this research, after collecting the experimental data and modeling the situations with appropriate statistical models, we develop a heuristic approach to the dry process in order to find optimal operating condition which minimizes the energy consumption while meeting the due dates of the ordered products as exactly as possible. Through the heuristic algorithm, that is, interchange-crossover algorithm, we provide an optimal (or near optimal) operating condition which can minimize both the total energy consumption and total penalty cost incurred by earliness and tardiness at the same time. The performance of the other approach is also investigated and compared to that of the developed heuristic approach.

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Abbreviations

z i1 :

Conveyor speed for product type i

z i2 :

Temperature for product type i

x i :

Energy consumption function for product type i

P i :

Amount of product type i ordered by customers

k :

Number of product types

y 1 :

Total energy consumption function

y 2 :

Total penalty cost function

C E i :

Unit penalty cost for product i due to earliness

C T i :

Unit penalty cost for product i due to tardiness

E i :

Amount of type i products early manufactured

T i :

Amount of type i products tardy manufactured

References

  1. Crama, Y., Flippo, O. E., Klundert, J. J. V. D., and Spieksma, F. C. R., “The Assembly of Printed Circuit Boards: A Case with Multiple Machines and Multiple Board Types,” European Journal of Operational Research, Vol. 98, No. 3, pp. 457–472, 1997.

    Article  Google Scholar 

  2. Khandpur, R. S., “Printed Circuit Boards: Design, Fabrication, Assembly and Testing,” McGraw-Hill, 2005.

    Google Scholar 

  3. Park, Y. J. and Lee, G. B., “Application of Heuristic Approaches to Minimization of Energy Consumption in Inner Layer Scrubbing Process in PCB Manufacturing,” Int. J. Precis. Eng. Manuf., Vol. 13, No. 7, pp. 1059–1066, 2012.

    Article  Google Scholar 

  4. Moyer, L. K. and Gupta, S. M., “SMT Feeder Slot Assignment for Predetermined Component Placement Paths,” Journal of Electronics Manufacturing, Vol. 6, No. 3, pp. 173–192, 1996.

    Article  Google Scholar 

  5. Moyer, L. K. and Gupta, S. M., “Simultaneous Component Sequencing and feeder Assignment for High Speed Chip Shooter Machines,” Journal of Electronics Manufacturing, Vol. 6, No. 4, pp. 271–305, 1996.

    Article  Google Scholar 

  6. Alisantoso, D., Khoo, L. P., and Jiang, P. Y., “An immune algorithm approach to the scheduling of a flexible PCB flow shop,” The International Journal of Advance Manufacturing Technology, Vol. 22, No. 11–12, pp. 819–827, 2003.

    Article  Google Scholar 

  7. Kanet, J. J., “Minimizing the average deviation of job completion times about a common due date,” Naval Research Logistics Quarterly, Vol. 28, No. 5, pp. 643–651, 1981.

    Article  MATH  Google Scholar 

  8. Lee, G. C., Kim, Y. D., Kim, J. G., and Choi, S. H., “A Dispatching Rule-Based Approach to Production Scheduling in a Printed Circuit Board Manufacturing System,” The Journal of the Operational Research Society, Vol. 54, No. 10, pp. 1038–1049, 2003.

    Article  MATH  Google Scholar 

  9. Fernandez-Flores, O., Speer, T., and Day, R., “Design considerations of scheduling systems suitable for PCB manufacturing,” World Academy of Science, Engineering and Technology, Vol. 58, No. 157, pp. 794–798, 2009.

    Google Scholar 

  10. Sviszt, O., Martinek, P., and Szikora, B., “Typical features of printed circuit board production enterprise resource planning systems,” In 28th International Spring Seminar on Electronics Technology, pp. 19–20, 2005.

    Google Scholar 

  11. Leung, J. and Zhang, G., “Optimal cyclic scheduling for printed circuit board production lines with multiple hoists and general processing sequence,” IEEE Transactions on Robotics and Automation, Vol. 19, No. 3, pp. 480–484, 2003.

    Article  Google Scholar 

  12. Pinedo, M. L., “Scheduling: Theory, Algorithms and Systems,” Springer, 3rd Ed., 2008.

    Google Scholar 

  13. Jeswiet, J. and Kara, S., “Carbon emissions and CESTM in manufacturing,” CIRP Annals — Manuf. Technology, Vol. 57, No. 1, pp. 17–20, 2008.

    Article  Google Scholar 

  14. Liow, J. L., “Mechanical micromachining: a sustainable microdevice manufacturing approach?” J. Cleaner Prod., Vol. 17, No. 7, pp. 662–667, 2009.

    Article  Google Scholar 

  15. Luo, Z., Cheng, K., Holt, R., and Liu, Z., “Modeling flank wear of carbide tool insert in metal cutting,” Wear, Vol. 259, No. 7–12, pp. 1235–1240, 2005.

    Article  Google Scholar 

  16. Rajemi, M. F., Mativenga, P. T., and Aramcharoen, A., “Sustainable machining: selection of optimum turning conditions based on minimum energy considerations,” J. Cleaner Prod., Vol. 18, No. 10, pp. 1059–1065, 2010.

    Article  Google Scholar 

  17. Pusavec, F., Krajnik, P., and Kopac, J., “Transitioning to sustainable production — Part I: application on machining technologies,” J. Cleaner Prod., Vol. 18, No. 2, pp. 174–184, 2010.

    Article  Google Scholar 

  18. Goosey, M. and Kellner, R., “Energy conservation and related best practices in printed circuit board (PCB) manufacturing,” Circuit World, Vol. 36, No. 1, pp. 38–42, 2010.

    Article  Google Scholar 

  19. Montgomery, D. C., Peck, E. A., and Vining, G. G., “Introduction to Linear Regression Analysis,” John Wiley & Sons, 2001.

    MATH  Google Scholar 

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Correspondence to You-Jin Park.

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Park, YJ., Lee, GB. Analysis of energy efficiency and productivity in dry process in PCB manufacturing. Int. J. Precis. Eng. Manuf. 14, 1213–1221 (2013). https://doi.org/10.1007/s12541-013-0165-0

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  • DOI: https://doi.org/10.1007/s12541-013-0165-0

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