Integration Between Lean Manufacturing and Other Quality Tools: A Scale Development

  • Fabio Eberhardt Teixeiraa Graduate Program in Business Administration, University of Caxias do Sul, Rua Francisco Getúlio Vargas, 1130, Caxias do Sul, Brazil
  • Ademar Galelli Graduate Program in Business Administration, University of Caxias do Sul, Rua Francisco Getúlio Vargas, 1130, Caxias do Sul, Brazil, Graduate Program in Industrial Engineering, University of Caxias do Sul Alameda João Dal Sasso, Bento Gonçalves, Brazil
  • Cintia Paese Giacomello Graduate Program in Industrial Engineering, University of Caxias do Sul Alameda João Dal Sasso, Bento Gonçalves, Brazil
Keywords: Lean manufacturing, Quality, Integration, Measuring Scales


In order to improve organization’s performance, both in quality and productivity, several quality programs were created and implemented, with recent highlight to Lean Manufacturing (LM). All these initiatives are based on the involvement of employees, managers and organizational procedures, and it is expected that there will be some interaction between them. This paper describes the development and validation of a multi-item scale, an instrument which measures how employees perceive the integration between a production system based on the principles of Lean Manufacturing with other quality tools already used in the companies. The method included analyzes related to apparent validity, content validity, total item correlations, factor analysis and reliability. A questionnaire submitted to 317 respondents from a population of 1,699 employees of a metal-mechanic company included a proposed scale of 10 items to evaluate the integration between LM and other quality tools. After the analysis of the data, two questions were excluded because they did not present relevant factor loadings and the other eight questions resulted in two factors (Structure of integration of SP with other tools and Results in integration between SP and other tools). Confirmatory factor analysis confirmed that these factors constituted a model with good fit.


. W. E. Deming. “Out of the crisis”. MIT Press: Cambridge, 1986.

. J.M. Juran and A.B. Godfrey (Ed.). “Juran´s quality handbook”. 5th ed., McGraw–Hill: New York, 1999.

. A. V. Feigenbaum. “Total Quality Control: engineering and management”. McGraw–Hill: New York, 1961.

. E. Atmaca and S. Girenes. “Lean Six Sigma methodology and application.” Quality Quantity, vol. 47, pp. 2107-2127, 2013.

. J.R. Jadhav, S.S. Mantha and S.B. Rane. “Analysis of interactions among the barriers to JIT production: interpretive structural modelling approach”. Journal of Industrial Engineering International, vol. 11, pp. 331-352, 2015.

. J.J. Dahlgaard and S.M. Dahlgaard‐Park. “Lean production, six sigma quality, TQM and company culture”. The TQM Magazine, vol. 18, pp. 263-281, 2006.

. L.N. Gambi et al. “The relationship between organizational culture and quality techniques, and its impact on operational performance.” International Journal of Operations & Production Management, vol. 35, pp. 1460-1484, 2015.

. S.J. Wu, D. Zhang and R.G. Schroeder. “Customization of quality practices: the impact of quality culture.” International Journal of Quality & Reliability Management, vol. 28, pp. 263-279, 2011.

. F. Pakdil and K.M. Leonard. “The effect of organizational culture on implementing and sustaining lean processes.” Journal of Manufacturing Technology Management, vol. 26, pp. 725-743, 2015.

. R.E. Quinn and G.M. Spreitzer. “The psychometrics of the competing values culture instrument and an analysis of the impact of organizational culture on quality of life.” Research in Organizational Change and Development, vol. 1, pp. 115-142, 1991.

. J.A. Marin-Garcia and T. Bonavia. “Relationship between employee involvement and lean manufacturing and its effect on performance in a rigid continuous process industry.” International Journal of Production Research, vol. 53, pp. 3260-3275, 2015.

. D. Bakotić and A. Rogošić. “Employee involvement as a key determinant of core quality management practices.” Total Quality Management & Business Excellence, vol. 28, pp. 1209-1226, 2017.

. A. Anvari, N. Zulkifli and R.M. “A dynamic modeling to measure lean performance within lean attributes.” International Journal of Advanced Manufacturing Technology, vol. 66, pp. 663-677, 2013.

. A. Karim and K.A. Uz-Zaman. “A methodology for effective implementation of lean strategies and its performance evaluation in manufacturing organizations.” Business Process Management Journal, vol. 19, pp. 169-196, 2013.

. R.S. Mclean, J. Antony and J.J. Dahlgaard. “Failure of continuous improvement initiatives in manufacturing environments: a systematic review of the evidence.” Total Quality Management & Business Excellence, 2015,

. R. Shah and P.T. Ward. “Lean manufacturing: context, practice bundles and performance.” Journal of Operations Management, vol. 21, pp. 129-149, 2003.

. T.A. Wright, J.C. Quick, S.T. Hannah and M.B. Hargrove. “Best practice recommendations for scale construction in organizational research: the development and initial validation of the Character Strength Inventory (CSI).” Journal of Organizational Behavior, vol. 38, pp. 615-628, 2017.

. M.G.S. Dilanthi. “Conceptual evolution lean manufacturing: a review of literature.” International Journal of Economics, Commerce and Management, vol. 3, pp. 574-585, 2015.

. K. Kristjuhan. “Lean Production, its related production management approaches and other contemporaries.” 7th International DAAAM Baltic Conference Industrial Engineering, Tallinn–Estonia, 2010.

. G. Anand and R. Kodali. “Selection of lean manufacturing systems using the analytic network process: a case study.” Journal of Manufacturing Technology Management, vol. 20, pp. 258-289, 2009.

. N.V.K. Jasti and R. Kodali. “Lean production: literature review and trends.” International Journal of Production Research, vol. 53, pp. 867-885, 2015.

. S. Bhasin and P. Burcher. “Lean viewed as a philosophy.” Journal of Manufacturing Technology Management, vol. 17, pp. 56-72, 2006.

. R.V. Altekar. Supply Chain Management: concepts and cases. PHI Learning Private Ltd. :New Delhi, 2005.

. J.P. Womack and D.T. Jones. The machine that changed the World: the story of Lean Production. Harper Business: New York, 1990.

. E. Cameron and M. Green. Making sense of change management: a complete guide to the models, tools and techniques of organizational change. Kogan Page Publishers: London, 2015.

. R.G. Netemeyer, W.O. Bearden and S. Sharma. Procedures: issues and applications. Sage Publications: London, 2003.

. J.F. Hair Jr. W.C. Black, B.J. Babin and R.E. Anderson. Multivariate data analysis. 7nd ed, Prentice Hall: New Jersey, 2010.

. G.A. Churchill Jr “A paradigm for developing better measures of marketing constructs.” Journal of Marketing Research, vol. 16, pp. 64-73, 1979.

. N.K. Malhotra. Marketing research: an applied orientation. Pearson Education: Boston, 2010.

. J.R. Rossiter. “The C–OAR–SE procedure for scale development in marketing.” International Journal of Research in Marketing, vol. 19, pp. 305-335, 2002.

. R.F. DeVellis. Scale development: theory and applications. Sage: Newbury Park, 1991.

. T.B. Ellis. The development, psychometric evaluation and validation of a customer loyalty scale. Doctored thesis, Department of Psychology in the Graduate Scholl of Southern Illinois University, Carbondale, Illinois, EUA, 2000.

. P.L. Roth. “Missing data: a conceptual review for applied psychologists.” Personnel Psychology, vol. 47, pp. 537-560, 1994.

. L.R. Flynn and D. Pearcy. “Four subtle in scale development: some suggestions for strengthening the current paradigm.” International Journal of Marketing Research, vol. 43, pp. 409-423, 2001.

. M. Tezer, E.P. Yildiz and H. Uzunboylu. “Online authentic learning self-efficacy: a scale development.” Quality & Quantity, vol. 52, pp. S639–S649, 2018.

. R.B. Kline. Principles and practice of structural equation modeling. The Guilford Press: New York, 2015.

. J.C. Nunnally. Psychometric theory. McGraw–Hill: New York, 1978.

. J.R. Fraenkel and N.E. Wallen. How to design and evaluate research in education. McGraw-Hill: New York, 2006.

. D.W. Gerbing and J.C. Anderson. “An updated paradigm for scale development incorporating unidimensionality and its assessment.” Journal of Marketing Research, vol. 25, pp. 186-192, 1988.

. R.P. Bagozzi, Y. Yl and L.W. Phillips. “Assessing construct validity in organizational research.” Administrative Science Quarterly, vol. 36, pp. 421-458, 1991.

. S.P. Reise, K.F. Widaman and R.H. Pugh. “Confirmatory factor analysis and item response theory: two approaches for exploring measurement invariance.” Psychological Bulletin, v. 114, pp. 552-566, 1993.

. S.C. Dunn, R.F. Seaker and M.A. Waller. “Latent variables in business logistic research: scale development and validation.” Journal of Business Logistics, vol. 15, pp. 145-172, 1994.

. M.S. Garver and J.T. Mentzer. “Logistics research methods: employing structural equation modeling to test construct validity.” Journal of Business Logistics, vol. 20, pp. 33-57, 1999.