An Efficient Analysis Model for Process Quality Information in Manufacturing Process of Automobile Safety Belt Parts

자동차 안전벨트 부품 제조공정에서의 효율적 공정품질정보 분석 모형

  • 공명달 (영산대학교 의료경영학과)
  • Received : 2018.11.22
  • Accepted : 2018.12.07
  • Published : 2018.12.31

Abstract

Through process quality information, the time required for process quality analysis has been drastically shortened, the process defect rate has been reduced, and the manufacturing lead time has been shortened and the on-time delivery rate has been improved. Therefore, The purpose of this study is to develop a quality information analysis system model that effectively shortens the time required for process quality analysis in automobile safety belt parts manufacturing process. As a result of experiments on communication operation between manufacturing execution system (MES) quality server, injection machine control computer, injection machine programmable logic controller (PLC) and terminal, in analyzing quality information, the conventional handwriting input method took an average of 20 minutes, but the new multi-network method took about 2 minutes on average. In addition, the process defect rate was reduced by 13% and the manufacturing lead time was shortened from 28 hours to 20 hours. The delivery compliance rate improved from 96 to 99%.

Keywords

Acknowledgement

Supported by : Youngsan University

References

  1. Ahn, J. I, "Study on the Data Analysis System for Quality Management of Automation Manufacturing Process", Master's Thesis, Soongsil University. 2015.
  2. Baek, B. S., and Won, Y, D., "Quality control theory", Muyeog gyeong sa pub., 2001.
  3. Choi, K. P., Byun, J. H. and Seo, G. H., "A Case Study of Establishing a Quality Information System for a Small Sized Company", Journal of the Korea Society for Quality Management, 29(1), pp. 128-139, 2001.
  4. Jay L., Devore, Probability and Statistics for Engineering and the Science, Duxbury Press, 1995.
  5. Joo, C. M., Nam, H. S. and Jung, H. S., "A Use of Significant Difference Test in Equipment Management, IEMS Spring Conference, pp. 5-8, 2004.
  6. Jung, H. W., "Combination SPC & EPC for Process Control System", Journal of the Korea Safe Management & Science, 8(6), pp. 119-137, 2009.
  7. Jung, W., Shin, H. M., and Lee, K. H., "Development of a Process Quality Information System for the CIM Environment", Journal of KORMSS, 23(3), pp. 109-122, 1998.
  8. Kong, M. D., "A Study on the FEfficient Interface Model for Process Quality Information in Automobile Parts Manufacturing Process", Journal of the Korean Institute of Plant Engineering, 17(2), pp. 25-34, 2012.
  9. Kourrti, T., and J. F., MacGregor, "Multivariate SPC Methods for Process and Product Monitoring", Journal of Quality Technology, 28, pp. 409-428, 1996. https://doi.org/10.1080/00224065.1996.11979699
  10. Lee, H. N. and Park, J. W., "A Study on the Development of Quality Information System for the improvement of Product Reliability of the Auto Part Supplier", Journal of the Korea Safe Management & Science, 12(3), pp. 231-235, 2010.
  11. Shin, D. J., et al., "Study of developing a statistical process control system in the automobile parts manufacturing process", KIIE/KORMS Spring Conference, 2008.
  12. Singh, R. and Gilbreath, G., "A Real-Time Information System for Multivariate Statistical Process Control", International Journal Production Economics, 75(1-2), pp. 161-172, 2002. https://doi.org/10.1016/S0925-5273(01)00189-X