AUTOMOTIVE PARTS MANUFACTURING INDUSTRY: UNRAVELING THE EFFICACIOUS QUALITY FRAMEWORK

This paper puts forth the strategic importance of statistical quality improvement for automotive stamped parts manufacturing process. The review on the Malaysian automotive parts suppliers reveals that the automotive stamped parts suppliers are facing with quality-related problems. Intense pressures for quality improvement are actually experienced by automotive parts suppliers to stay-tuned in competitiveness and to build a long-term relationship with automotive manufacturers. The automotive parts suppliers in Malaysia are urged to contribute towards enhancing the overall quality of national car. While empirical studies have shown that statistical concepts are crucial to good quality management and key in dealing with manufacturing processes, there has been inadequate emphasis on the deployment of statistical approach in quality practice among these suppliers. This paper proposes a conceptual framework for statistical quality improvement in automotive parts manufacturing. The practical implications of applying the statistical thinking methodology towards continuous quality excellence are also highlighted.

[1]  Salmiah Kasolang.  Implementation of Total Quality Management in the Malaysian Automotive Vendors , 2001 .

[2]  Joo Eng Lim.  Application Of Cost Of Quality System By Proton Vendors , 2003 .

[3]  Patrick C. Hammett,et al.  A Tolerance Adjustment Process for Dimensional Validation of Stamping Parts and Welded Assemblies , 2003 .

[4]  Andrew M. Kuhn.  Multivariate Statistical Methods in Quality Management , 2005, Technometrics.

[5]  Roger M. Sauter,et al.  Introduction to Statistical Quality Control (2nd ed.) , 1992 .

[6]  N. Belavendram,et al.  The adoption of ISO 9000 and total quality management in Malaysia , 1996 .

[7]  Maneesh Kumar,et al.  Statistical thinking and its role for industrial engineers and managers in the 21st century , 2005 .

[8]  Douglas C. Montgomery,et al.  Introduction to Statistical Quality Control , 1986 .

[9]  Robert V. Brill,et al.  Applied Statistics and Probability for Engineers , 2004, Technometrics.

[10]  Jafri Mohd Rohani,et al.  Application of statistical process control in manufacturing company to understand variability , 2007 .

[11]  Zulkifli Mohd Nopiah,et al.  BARRIERS TO IMPLEMENTING AN ONLINE SPC SYSTEM IN MALAYSIAN AUTOMOTIVE MANUFACTURING COMPANIES , 2008 .

[12]  S. Vickery,et al.  An empirical analysis of the competitive dimensions of quality performance in the automotive supply industry , 2000 .

[13]  K. Kanapathy.  Are ISO 9000 Programmes Paying off for Malaysian Manufacturing Companies , 1998 .

[14]  James R. Evans,et al.  The management and control of quality , 1989 .

[15]  Douglas C. Montgomery,et al.  Applied Statistics and Probability for Engineers, Third edition , 1994 .