Acceptance of Taguchi's Quality Philosophy and Practice by Lean practitioners in apparel manufacturing

We hypothesise that the customer value concept embedded in Lean manufacturing and loss to society concept embedded in Taguchi's Quality Philosophy and Practice (TQPP) jointly explain manufacturing performance, through the mediating effect of Continuous Improvement (CI). Using structural equation modelling, we tested our model by collecting survey data (n = 318) from apparel manufacturing factories that are mature in Lean implementation. Our model was found to be a good fit to data (e.g. Root Mean Square Error of Approximation (RMSEA) = .047) and this implied that our hypothesised theoretical model stays in contention. In addition, statistically significant structural regression coefficients implied that the Lean Manufacturing System explains manufacturing performance through CI while TQPP explains manufacturing performance only through its direct effect. We suggest possible practical reasons for these results as well as future research directions to further develop our theory.

[1]  Adamantios Diamantopoulos,et al.  Advancing formative measurement models , 2008 .

[2]  Ye Li,et al.  From value stream mapping toward a lean/sigma continuous improvement process: an industrial case study , 2010 .

[3]  R. Kline Principles and practice of structural equation modeling, 3rd ed. , 2011 .

[4]  I. Stelzl Changing a Causal Hypothesis without Changing the Fit: some Rules for Generating Equivalent Path Models. , 1986, Multivariate behavioral research.

[5]  L. Cronbach Coefficient alpha and the internal structure of tests , 1951 .

[6]  B. Avolio,et al.  . , 2005, The Leadership Quarterly.

[7]  Jiju Antony,et al.  An application of experimental design for process optimisation , 2000 .

[8]  Andreas Ritter,et al.  Structural Equations With Latent Variables , 2016 .

[9]  Matthias Holweg,et al.  The genealogy of lean production , 2007 .

[10]  Pär Åhlström,et al.  Assessing changes towards lean production , 1996 .

[11]  Saeed Maghsoodloo The Exact Relation of Taguchi's Signal-to-Noise Ratio to His Quality Loss Function , 1990 .

[12]  C. Butler,et al.  A primer on the Taguchi method , 1992 .

[13]  Sonya K. Sterba,et al.  Variability in Parameter Estimates and Model Fit Across Repeated Allocations of Items to Parcels , 2010, Multivariate behavioral research.

[14]  S. Finney,et al.  Item parceling issues in structural equation modeling , 2001 .

[15]  S. Hershberger,et al.  A Simple Rule for Generating Equivalent Models in Covariance Structure Modeling. , 1990, Multivariate behavioral research.

[16]  James H. Steiger,et al.  Driving Fast In Reverse The Relationship Between Software Development, Theory, and Education in Structural Equation Modeling , 2001 .

[17]  Henry W. Altland Experiments: Planning, Analysis, and Parameter Design Optimization , 2001, Technometrics.

[18]  Claudia Isac,et al.  Using Taguchi methods to improve the production process quality: A case study , 2009 .

[19]  Connie M. Borror,et al.  Robust Parameter Design: A Review , 2004 .

[20]  Rosalie J. Hall,et al.  Item Parceling Strategies in SEM: Investigating the Subtle Effects of Unmodeled Secondary Constructs , 1999 .

[21]  Barbara M. Byrne,et al.  Structural equation modeling with EQS : basic concepts, applications, and programming , 2000 .

[22]  Daniel T Jones,et al.  Lean consumption. , 2005, Harvard business review.

[23]  R. Roy A Primer on the Taguchi Method , 1990 .

[24]  Thomas P. Ryan,et al.  Statistical Methods for Quality Improvement: Ryan/Quality Improvement 3E , 2011 .

[25]  Neal Schmitt,et al.  Parameter Recovery and Model Fit Using Multidimensional Composites: A Comparison of Four Empirical Parceling Algorithms , 2004 .

[26]  Ida Gremyr,et al.  Robust Design Methodology: Status in the Swedish Manufacturing Industry , 2003 .

[27]  M. Matsunaga Item Parceling in Structural Equation Modeling: A Primer , 2008 .

[28]  Pauline Found,et al.  Staying lean: thriving, not just surviving , 2008 .

[29]  James P. Womack,et al.  Lean Thinking: Banish Waste and Create Wealth in Your Corporation , 1996 .

[30]  Joo Young Ha,et al.  A Process for Optimizing Sewing Conditions to Minimize Seam Pucker Using the Taguchi Method , 2005 .

[31]  Mike Kaye,et al.  Continuous improvement: the ten essential criteria , 1999 .

[32]  K. Jöreskog,et al.  Intraclass Reliability Estimates: Testing Structural Assumptions , 1974 .

[33]  Michael E. Odigie Extant Scholarship in the Quality Profession: A Brief Review , 2015 .

[34]  Jiju Antony,et al.  Design of experiments for engineers and scientists , 2003 .

[35]  Stephen Jones George Box and Robust Design , 2014 .

[36]  Martin Ebro,et al.  How to implement and apply robust design: insights from industrial practice , 2015 .

[37]  R. N. Kackar Taguchi’s Quality Philosophy: Analysis and Commentary , 1989 .

[38]  Baback Yazdani Book reviewToyota production system: an integrated approach to Just-In-Time (2nd ed): Yasuhiro Monden Chapman & Hall, London (1994) 423 pp, £39.95 ISBN 0-412-58220-1 , 1995 .

[39]  Sverker Alänge,et al.  Introducing robust design in product development: Learning from an initiative at Volvo , 2012 .

[40]  Adrian J. Slywotzky,et al.  Contrarrestar el mayor de todos los riesgos , 2005 .

[41]  P. M. Podsakoff,et al.  Self-Reports in Organizational Research: Problems and Prospects , 1986 .

[42]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[43]  James H. Steiger,et al.  Driving Fast in Reverse , 2001 .

[44]  Nadia Bhuiyan,et al.  An overview of continuous improvement: from the past to the present , 2005 .

[45]  Dag Swartling,et al.  The daily work of Lean leaders – lessons from manufacturing and healthcare , 2013 .

[46]  Computer Staff,et al.  The Machine That Changed the World , 1992 .

[47]  J. Douglas Barrett,et al.  Taguchi's Quality Engineering Handbook , 2007, Technometrics.

[48]  C McCollin Applied stochastic models in business and industry , 2011 .

[49]  Ida Gremyr,et al.  Practices of robust design methodology in practice , 2011 .

[50]  P. Hines,et al.  Learning to evolve: A review of contemporary lean thinking , 2004 .

[51]  Izak Benbasat,et al.  Quo vadis TAM? , 2007, J. Assoc. Inf. Syst..

[52]  Abdullah Özçil,et al.  İSTATİSTİKSEL KALİTE KONTROL SÜRECİNDE p VE p-CUSUM GRAFİKLERİNİN TEKSTİL SEKTÖRÜNDE UYGULANMASI , 2014 .

[53]  M. Bhasi,et al.  Decision support tool for lean product and process development , 2013 .

[54]  Margaret J. Robertson,et al.  Design and Analysis of Experiments , 2006, Handbook of statistics.

[55]  Rachna Shah,et al.  Defining and developing measures of lean production , 2007 .

[56]  Statistical Methods for Quality Improvement, 2nd Ed. , 2000 .

[57]  Badr Haque,et al.  Applying lean thinking to new product introduction , 2004 .

[58]  Richard D. Johnson,et al.  The Evolving Nature of the Computer Self-Efficacy Construct: An Empirical Investigation of Measurement Construction, Validity, Reliability and Stability Over Time , 2007, J. Assoc. Inf. Syst..

[59]  Nihal P. Jayamaha,et al.  Comparative analysis of Taguchi's crossed array approach vs combined array approach to robust parameter design: A study based on apparel industry , 2014, 2014 IEEE International Conference on Industrial Engineering and Engineering Management.

[60]  Thomas P. Ryan,et al.  Statistical methods for quality improvement , 1989 .

[61]  Lidia Sánchez,et al.  Three decades of continuous improvement , 2014 .

[62]  Rex B. Kline,et al.  Principles and Practice of Structural Equation Modeling , 1998 .

[63]  Conrad A. Fung,et al.  An explanation and critique of taguchi's contributions to quality engineering , 1988 .

[64]  Shanling Li,et al.  Operational design of a supply chain system using the Taguchi method, response surface methodology, simulation, and optimization , 2004 .

[65]  Resit Unal,et al.  TAGUCHI APPROACH TO DESIGN OPTIMIZATION FOR QUALITY AND COST: AN OVERVIEW , 1990 .