Defect Reduction with the Use of Seven Quality Control Tools for Productivity Improvement at an Automobile Company

Authors

  • I. A. Memon Department of Mechanical Engineering, Quaid-e-Awam University of Engineering, Science and Technology, Pakistan
  • Q. B. Jamali Department of Mechanical Engineering, Quaid-e-Awam University of Engineering, Science and Technology, Pakistan
  • A. S. Jamali Department of Mechanical Engineering, Quaid-e-Awam University of Engineering, Science and Technology, Pakistan
  • M. K. Abbasi Department of Mechanical Engineering, Quaid-e-Awam University of Engineering, Science and Technology, Pakistan
  • N. A. Jamali Department of Mechanical Engineering, Quaid-e-Awam University of Engineering, Science and Technology, Pakistan
  • Z. H. Jamali Department of Mechanical Engineering, Quaid-e-Awam University of Engineering, Science and Technology, Pakistan
Volume: 9 | Issue: 2 | Pages: 4044-4047 | April 2019 | https://doi.org/10.48084/etasr.2634

Abstract

The goal of zero defects is pursued by many manufacturing and service companies. In this regard, statistical tools are being used for defect reduction leading to productivity improvement. In this work, seven traditional QC tools (flow chart, check sheet, histogram, Pareto chart, cause, and effect diagram, scatter diagram and control chart) have been developed and implemented in an automobile company to assess and improve the defect reduction level in the assembly line. Chassis and trim lined were selected for data collection to assess and improve the defect level for productivity improvement. It was found from the results that after the successful implementation of the QC tools, the defect level reduced by 90% (from 132 to 13 defects) at the chassis line. Similarly, the defect level was reduced by 80% (from 157 to 28 defects) at the trim line. The automobile company implemented only a few of the seven QC tools in their assembly line. It is suggested that the company may need to manage a mechanism for the implementation of all seven QC tools in every section of the company.

Keywords:

vehicle inspection department (VID), chassis line, tim Line, 7 QC tools

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References

D. C. Montogmery, Introduction to Statistical Quality Control, John Wiely and Sons, Inc., 1997

R. H. Fouad, A. Mukattah, “Statistical Process Control Tools: A practical guide for Jordian Industrial Organizations”, Jordian Journal of Mechanical and Industrial Engineering, Vol. 4, No. 6, pp. 693-700, 2010

J. V. Kovach, E. A Cadney, C. C. Elrod, “The Use of Continuous improvement techniques. A survey-based study of current practices”, International Journal of Engineering, Science and Technology, Vol. 3, No. 7, pp. 89-100, 2011 DOI: https://doi.org/10.4314/ijest.v3i7.7S

D. R. Prajapati, “Implementation of SPC techniques in Automotive Industry: A case study”, International Journal of Emerging Technology and Advanced Engineering, Vol. 2, No. 3, pp. 227-241, 2012

M. Aichouni, “On the case of the basic quality tools for the improvement of the construction industry: A case study of a mixed concrete production process”, International Journal of Civil and Environmental Engineering, Vol. 12, No. 5, pp. 28-34, 2012

T. V. U. Kiran Kumar, “SPC tools in Automobile component to analyze inspection process”, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Vol. 2, No. 1, pp. 624-630, 2013

P. J. Patel, S. C. Shah, S. Makwana, “Application of Quality Control Tools in Taper Shank Drills Manufacturing Industry: A case study”, International Journal of Engineering Research and Applications, Vol. 4, No. 2, pp. 129-134, 2014

P. S. Parmar, V. A. Desphande, “Implementation of SPC techniques in industry: A review”, Journal of Emerging Technologies and Innovative Research, Vol. 1, No. 6, pp. 583-587, 2014

A. Hussain, Q. W. Ahmed, I. Haq, “Improving Productivity and Quality in SMEs of Pakistan”, Technical Journal, University of Engineering and Technology, Taxila, Pakistan, Vol. 20, No. 2, pp. 103-114, 2015

A. B. Vante, G. R. Naik, “Quality Improvement for dimensional variations in sand and casting using Quality Control tools”, International Journal of Innovative Research in Science, Engineering and Technology, Vol. 4, No. 8, pp. 6917-6926, 2015 DOI: https://doi.org/10.15680/IJIRSET.2015.0408030

D. G. Pendokhare, T. Quazi, P. S. Kulkarni, “Redesign and Manufacturing by using DMADV Method”, International Journal of Research in Engineering and Technology, Vol. 4, No. 2, pp. 144-149, 2015 DOI: https://doi.org/10.15623/ijret.2015.0402018

N. Afzaal, A. Aftab, S. Khan, M. Najamuddin, “To analyze the use of Statistical Tools for Cost effectiveness and Quality of products”, IOSR Journal of Humanties and Social Science, Vol. 20, No. 1, pp. 47-57, 2015

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How to Cite

[1]
Memon, I.A., Jamali, Q.B., Jamali, A.S., Abbasi, M.K., Jamali, N.A. and Jamali, Z.H. 2019. Defect Reduction with the Use of Seven Quality Control Tools for Productivity Improvement at an Automobile Company. Engineering, Technology & Applied Science Research. 9, 2 (Apr. 2019), 4044–4047. DOI:https://doi.org/10.48084/etasr.2634.

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