Implementation of Statistical Process Control (SPC) in the Sewing Section of Garment Industry for Quality Improvement

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The main aim of this research was to implement appropriate Statistical Process Control (SPC) techniques for quality characteristics on sewing floor of garment Industry. Among different SPC quality improvements tools, control charts have been selected. After analyzing and selecting different critical parameters based on company and customer requirements, the X-bar and R charts for variable and c-charts for attribute quality characteristics have been identified and implemented in the trouser sewing lines for quality improvement. The check points for selected control chart implementation have also been designed. Remedial action plans for the occurred special cause variations and process stability were developed. The project incorporated theoretical and on-job training schemes for different quality team members, to understand the SPC concept and its implementation procedure. After implementation, significant improvements in the sewing section were achieved. The four months analysis before and after implementation of the SPC tools showed that the rejection percentage was reduced from 9.141% to 6.4%. Successful implementation of the result of this project can significantly improve process performance of other similar manufacturing units with appropriate modification.

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  • [1] Mason B. & Antony J. Is SPC Just about Control Charts. Unpublished work.

  • [2] Montgomery D. C. Introduction to Statistical Quality Control 6th Edition. New York: John Wiley and Sons 2009.

  • [3] Shewhart W. A “Statistical Method from the Viewpoint of Quality Control” Washington DC: The Graduate School of the US Department of Agriculture 1939.

  • [4] Sultana F. Islam N.R. Azeem A. Implementation of Statistical Process Control (SPC) For Manufacturing Performance Improvement. Journal of Mechanical Engineering 2009 vol.40 (1) pp.15-21.

  • [5] Semel F. J. David J. K. and Gummeson P.U. Statistical Process Control in Iron Ponder Production and New Product Development. Presented at the SAE Congress Detroit Michigan February 29-March 4 1998 Hoeganaes Corporation River Road & Taylors Lane Riverton New Jersey.

  • [6] Fouad R.H. and Mukattash A. “Statistical Process Control Tools: A Practical guide for Jordanian Industrial Organizations”. Jordan Journal of Mechanical and Industrial Engineering 2010 vol. 4(6) pp. 693 - 700.

  • [7] Ab Rahman M. N. Zain R.M. Nopiah Z.M. Jaharah A. G. Baba Md D. Mohamad N. & Ismail A.R. Statistical Process Control in SMEs. A Case Study. 4th WSEAS/ IASME International Conference on Dynamical Systems and Control (Control’08) 2008 Corfu Greece October26-28.

  • [8] Ab Rahman M.N. et al. The Implementation of SPC in Malaysian Manufacturing Companies. European Journal of Scientific Research 2009 26(3) pp. 453-464.

  • [9] Finison L.J. Finison K.S. and Bliersbach C.M. The use of control charts to improve healthcare quality. Journal of Healthcare Quality 1993 Vol. 15 No. 1 pp. 9-23.

  • [10] Arthur B. Phillip K. Jan D. Richard N. and Celia H. “Statistical Inference at Work: Statistical Process Control as an Example”. Statistics Education Research Journal vol. 7(2) pp.130-145 2008.

  • [11] Stephanie J. R. and John H. R “The Use Of Statistical Quality Control Charts In Monitoring Interviewers” University of North Carolina Chapel Hill NC 27599 1999.

  • [12] Sharaf El-Din M. A. Rashed H. I. and El-Khabeery M. M. “Statistical Process Control Charts Applied to Steelmaking Quality Improvement” Quality Technology & Quantitative Management vol.3 (4) pp.473-491 2006.

  • [13] Omar M. H. “Statistical Process Control Charts for Measuring and Monitoring Temporal Consistency of Ratings” Journal of Educational Measurement vol. 47(1) pp.18-35 2010.

  • [14] Victor E. S. Jaideep G. M. and Michael J. S. (1994) “δ Charts for Short Run Statistical Process Control” International Journal of Quality & Reliability Management vol.11 (6) pp.50-56.

  • [15] Brannstorm-Stenberg A. & Deleryd M. “Implementation of Statistical Process Control and Process Capability Studies: Requirements or Free will?” TQM Journal vol.10 Issue 4-5 1999.

  • [16] Kuang-Han C. Duane S. B. and Roy E. W. “Multivariate Statistical Process Control and Signature Analysis Using Eigen factor Detection Methods” the 33rd Symposium on the Interface of Computer Science and Statistics Costa Mesa CA June 2001.

  • [17] Hanna S. M. “Application of Statistical Process Control (SPC) In the Manufacturing of Medical Accelerators” Proceedings of the 2003 Particle Accelerator Conference Concord CA 94520 USA 2003.

  • [18] Rai B.K. “Implementation of statistical process control in an Indian tea packaging company” International Journal of Business Excellence 1 Nos.1/2 pp. 160-174 2008.

  • [19] Anna L. S. and Sohail S. C. “Use of Statistical Process Control in Bus Fleet Maintenance at SEPTA” Journal of Public Transportation 8(2) 2005.

  • [20] Rungasamy S. Antony J. and Ghosh S “Critical success factors for SPC implementation in UK small and medium enterprises: some key findings from a survey” The TQM Magazine vol. 14(4) pp. 217 - 224 2002.

  • [21] Raymond W. P. “Use of Statistical Process Control (SPC) Versus Traditional Statistical Methods in Personal Care Applications” Presented at the 17th IFSCC International Congress Yokohama October 13-16 Dow Corning Corporation Midland MI 48686 USA 1992.

  • [22] Mitra A Fundamentals of Quality Control and Improvement Second Edition. New Delhi India: Pearson Education Inc 2002.

  • [23] Wood M. “Statistical methods for monitoring service process” International Journal of Service Industry Management Vol. 5 No. 4 pp. 53-68 1994.

  • [24] Beamon B.M. and Ware T.M. “A process quality model for the analysis improvement and control of supply chain systems” International Journal of Physical Distribution & Logistics Management Vol. 28 No. 9/10 pp. 704-15 1998.

  • [25] Does R.J.M.M. Roes K.C.B. and Trip A. Statistical Process Control in Industry Kluwer Academic Publishers Dordrecht 1999.

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