Satisfactory Prediction of Performance of Total Quality Management Critical Techniques

This paper aims to determine the performance of nine Total Quality Management Critical Techniques (TQM CTs) in automotive industry. In order to achieve this purpose, six significant criteria for predicting the satisfactory of TQM CTs have been proposed. This study has been carried out at Malaysia Automotive Manufacturing Industry by the quality experts’ judgments. Analytic Hierarchy Process (AHP) has been employed that is a Multiple Criteria Decision Making (MCDM) methodology. The results show the priority of TQM CTs based on their satisfactory grade. Also a sensitivity analysis is conducted to indicate the realistic of its final outcome. Finally an AHP model as a decision-making model is recommended with .03 overall inconsistency to aware the management to promote the usage of the TQM CTs efficiently and effectively.

[1]  Philip B. Crosby.  Crosby's 14 Steps To Improvement , 2005 .

[2]  Bert Spector,et al.  Beyond TQM Programmes , 1994 .

[3]  O. Bayazit,et al.  An analytical network process-based framework for successful total quality management (TQM): An assessment of Turkish manufacturing industry readiness , 2007 .

[4]  Fiorenzo Franceschini,et al.  Tools and supporting techniques for design quality , 1999 .

[5]  Barrie Dale,et al.  The use of quality tools and techniques in product introduction: an assessment methodology , 1998 .

[6]  Adrian John Wilkinson,et al.  Managing with Total Quality Management: Theory and Practice , 1998 .

[7]  Jaideep Motwani,et al.  Critical factors and performance measures of TQM , 2001 .

[8]  M. Bohanec,et al.  The Analytic Hierarchy Process , 2004 .

[9]  T. Saaty.  Highlights and critical points in the theory and application of the Analytic Hierarchy Process , 1994 .

[10]  K. B. Hendricks,et al.  Does Implementing an Effective TQM Program Actually Improve Operating Performance? Empirical Evidence from Firms That Have Won Quality Awards , 1997 .

[11]  Thomas L. Saaty,et al.  Decision making with dependence and feedback : the analytic network process : the organization and prioritization of complexity , 1996 .

[12]  A. Smilde,et al.  Multicriteria decision making , 1992 .

[13]  W. Edwards Deming,et al.  Out of the Crisis , 1982 .

[14]  D. Boje,et al.  The Resurrection of Taylorism: Total Quality Management’s Hidden Agenda , 1993 .

[15]  M Williams,et al.  Managing Quality , 2018 .

[16]  Thomas L. Saaty.  Exploring optimization through hierarchies and ratio scales , 1986 .

[17]  Donald E. Grierson,et al.  Multicriteria decision making in n-D , 2007 .

[18]  J. Dean,et al.  MANAGEMENT THEORY AND TOTAL QUALITY: IMPROVING RESEARCH AND PRACTICE THROUGH THEORY DEVELOPMENT , 1994 .

[19]  B. Williams,et al.  Operations management. , 2001, Optometry.

[20]  Fenghueih Huarng,et al.  Relationships of TQM philosophy, methods and performance: a survey in Taiwan , 2002, Ind. Manag. Data Syst..

[21]  Kwai-Sang Chin,et al.  An AHP based study of critical factors for TQM implementation in Shanghai manufacturing industries , 2002 .

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

[23]  Thomas L. Saaty,et al.  The Analytic Network Process: Decision Making With Dependence and Feedback , 2001 .

[24]  Shamsuddin Ahmed,et al.  Survey and case investigations on application of quality management tools and techniques in SMIs , 2003 .

[25]  Yan Xin,et al.  An exploratory study of the use of quality tools and techniques in product development , 2005 .

[26]  Zhihai Zhang,et al.  Developing a model of quality management methods and evaluating their effects on business performance , 2000 .

[27]  Barrie Dale,et al.  The implementation of quality management tools and techniques: a study , 1997 .

[28]  T. H. Berry.  Managing the Total Quality Transformation , 1990 .

[29]  S. Sitkin,et al.  DISTINGUISHING CONTROL FROM LEARNING IN TOTAL QUALITY MANAGEMENT: A CONTINGENCY PERSPECTIVE , 1994 .