Sunil Kumar, Ashwani Kumar Dhingra, Bhim Singh

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This research paper is an attempt to improve the quality system of ten small scale fastener manufacturing industries through the implementation of the Lean-Kaizen approach using the Data Envelopment Analysis (DEA) Charnes Cooper & Rhodes (CCR) model with constant returns to scale (CRS). Output maximization is taken as the objective function to identify the percentage scope of improvements. The data is collected by paying personal visits to the selected industries for three inputs (manpower, maintenance, and training of employees) and two outputs (quality, on-time delivery) of their quality system. The DEA CCR model is applied to identify efficiency scores of the quality system by taking the most efficient industry as a benchmark for the rest of the organizations. The Lean-Kaizen approach is applied to identify waste / non-value added activities in outputs of the selected industries. Four Kaizen events are proposed to eliminate waste / non-value added activities in their quality system. The data collected after the Kaizen events are further analyzed by the DEA CCR model. The improvements in efficiency scores of the selected industries are presented as findings in this research paper. Two fastener industries became 100% efficient while the rest of the organizations reported 8% to 49% improvements in their efficiency scores of the quality system. The conclusions are made as the Lean-Kaizen using DEA is found to be an effective approach to improve the quality system of fastener industries. This study will be beneficial for researchers, practitioners and academicians for tackling the inefficiencies in the organization.


Lean-Kaizen, Quality Management System, Brainstorming, Data Envelopment Analysis

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Panwar, Avinash, Jain, Rakesh, and Rathore, A.P.S., 2015, Lean implementation in Indian process industries – some empirical evidence, Journal of Manufacturing Technology Management, 26(1), pp. 131–160.

Singh, B., Garg, S. K., and Sharma, S. K., 2010, Scope for lean implementation: a survey of 127 Indian industries, International Journal of Rapid Manufacturing, 1(3), pp. 323-333.

Bhuiyan, N., and Baghel, A., 2005, An overview of continuous improvement: from the past to the present, Management Decision, 43(5), pp. 761-771.

Suarez-Barraza, M. F., Smith, T., and Dahlgaard-Park, S. M., 2009, Lean-kaizen public service: an empirical approach in Spanish local governments, The TQM Journal, 21(2), pp. 143–167.

Prashar, Anupama, 2014, Redesigning an assembly line through Lean-Kaizen: an Indian case, The TQM Journal, 26(5), pp. 475-498.

Suarez-Barraza, M. F., Ramis-Pujol, J., and Kerbache, L., 2011, Thoughts on kaizen and its evolution: Three different perspectives and guiding principles, International Journal of Lean Six Sigma, 2, pp. 288–308.

Liker, J. K., 2004, The Toyota Way, McGraw-Hill, New York, NY.

Singh, Bhim, Garg, S.K., and Sharma, S. K., 2010, Development of index for measuring leanness: study of an Indian auto component industry, Measuring Business Excellence, 14(2), pp. 46-53.

Charnes, A., Cooper, W. W., Lewin, A. Y., and Seiford, Lawrence M., 1994, Data Envelopment Analysis: Theory, Methodology and Application. Kluwer Academic Publisher, Boston, MA.

Gondhalekar, Shrinivas, Babu, A. Subhash, and Godrej, N.B., 1995, Towards TQM using kaizen process dynamics: a case study, International Journal of Quality & Reliability Management, 12(9), pp. 192-209.

Singh, J., and Singh, H., 2012, Continuous improvement approach: state-of-art review and future implications, International Journal of Lean Six Sigma, 3(2), pp. 88–111.

Shah, R., and Ward, P. T., 2003, Lean manufacturing: context, practice bundles, and performance, Journal of Operations Management, 21(2), pp. 129–149.

Suarez-Barraza, M. F., Ramis-Pujol, J., and Dahlgaard-Park, S., 2013, Changing quality of life through the Personal Kaizen approach: a qualitative study, International Journal of Quality and Service Sciences, 5(2), pp. 191–207.

Imai, M., 1986, KAIZEN: The Key to Japans Competitive Success, McGraw-Hill, New York, NY.

Darlington, J., Francis, M., Found, P., and Thomas, A., 2015, Targeting lean process improvement projects for maximum financial impact, Production Planning & Control, 27(2), pp. 114–132.

Shang, G., and Pheng, L. S., 2013, Understanding the application of Kaizen methods in construction firms in China, Journal of Technology Management in China, 8(1), pp. 18–33.

Ohno, T., 1988, Toyota production system: beyond large-scale production, CRC Press.

Vinodh, S., Arvind, K. R., and Somanaathan, M., 2011, Tools and techniques for enabling sustainability through lean initiatives, Clean Techn Environ Policy, 13, pp. 469–479.

Jadhav, J. R., Mantha, S. S., and Rane, S. B., 2015, Roadmap for Lean implementation in Indian automotive component manufacturing industry: comparative study of UNIDO Model and ISM Model, Journal of Industrial Engineering International, 11(2), pp. 179–198.

Mourtzis, D., Papathanasiou, P., and Fotia, S., 2016, Lean Rules Identification and Classification for Manufacturing Industry, Procedia CIRP, 50, pp. 198–203.

Womack, J.P., Jones, D.T. and Roos, D., 1990, The machine that changed the world, Simon and Schuster.

Dorota Rymaszewska, A., 2014, The challenges of lean manufacturing implementation in SMEs, Benchmarking: An International Journal, 21(6), pp. 987–1002.

Wu, P., Low, S. P., and Jin, X., 2013, Identification of non-value adding NVA activities in precast concrete installation sites to achieve low-carbon installation, Resources, Conservation and Recycling, 81, pp. 60–70.

Kumar, M., Khurshid, K. K., and Waddell, D., 2014, Status of Quality Management practices in manufacturing SMEs: a comparative study between Australia and the UK, International Journal of Production Research, 52(21), pp. 6482–6495.

Liker, J., 2006, The Toyota way field book, Esensi.

Achanga, P., Shehab, E., Roy, R., and Nelder, G., 2006, Critical success factors for lean implementation within SMEs, Journal of Manufacturing Technology Management, 17(4), pp. 460–471.

Farris, J. A., Van Aken, E. M., Doolen, T. L., and Worley, J., 2009, Critical success factors for human resource outcomes in Kaizen events: An empirical study, International Journal of Production Economics, 117(1), pp. 42–65.

Garcia, J. L., Rivera, D. G., and Iniesta, A. A., 2013, Critical success factors for Kaizen implementation in manufacturing industries in Mexico, International Journal of Advanced Manufacturing Technology, 68(1–4), pp. 537–545.

Rivera-Mojica, D., and Rivera-Mojica, L., 2014, Critical success factors for kaizen implementation, Lean manufacturing in the Developing, pp. 157–178.

Moeuf, A., Tamayo, S., Lamouri, S., Pellerin, R., Lelievre, A., and Montreal, P., 2016, Strengths and weaknesses of small and medium sized enterprises regarding the implementation of lean manufacturing, Management and Control MIM 2016, 49(12), pp. 71–76.

Eaidgah, Y., Kurczewksi, K., Abdekhodaee, A., and Maki, A. A., 2016, Visual management, performance management and continuous improvement: a lean manufacturing approach, International Journal of Lean Six Sigma, 7(2), pp. 187–210.

Suarez-Barraza, Manuel F., Ramis-Pujol, Juan, 2010, Implementation of Lean-Kaizen in the human resource service process: A case study in a Mexican public service organisation, Journal of Manufacturing Technology Management, 21(3), pp. 388–410.

Glover, Wiljeana J., Liu, Wen-Hsing, Farris, Jennifer A., and Aken, Eileen M. Van, 2013, Characteristics of established kaizen event programs: an empirical study, International Journal of Operations & Production Management, 33(9), pp. 1166–1201.

Mishra, R. K., and Patel, G., 2009, Supplier Development Strategies : a Data Envelopment Analysis Approach, Intelligence, pp. 99–110.

Kuah C. T., Wong K. Y., and Behrouzi, Farzad, 2010, Application of Data Envelopment Analysis to Assess Quality Management Efficiency, World Academy of Science, Engineering and Technology, 4(10), pp. 651-656.

Xie, X.M., Zang, Z.P. and Qi, G.Y., 2016, Assessing the environmental management efficiency of manufacturing sectors: Evidence from emerging economies, Journal of Cleaner Production, 112, pp.


Dabestani, R., Shahin, A., Saljoughian, M., and Shirouyehzad, H., 2016, Importance-performance analysis of service quality dimensions for the customer groups segmented by DEA, International Journal of Quality & Reliability Management, 33(2), pp. 160–177.

Lau, Kwok Hung, 2012, Distribution network rationalisation through benchmarking with DEA, Benchmarking: An International Journal, 19(6), pp. 668–689.

Jafarpour, E. et al., 2015, Evaluation of the suggestions system performance using DEA, the case of Esfahan’s Steel Company, International Journal of Productivity and Quality Management, 15(1), pp. 20-34.

Azadeh, A., Sheikhalishahi, M., Firoozi, M., and Khalili, S. M., 2013, An integrated multi-criteria taguchi computer simulation-DEA approach for optimum maintenance policy and planning by incorporating learning effects, International Journal of Production Research, 51(18), pp. 5374–5385.

Warning, S., 2014, How to pick your staff? Using data envelopment analysis, Management Research Review, 37(9), pp. 815–832.

Bian, Yiwen, Hu, Miao and Xu , Hao, 2015, Measuring efficiencies of parallel systems with shared inputs/ outputs using data envelopment analysis, Kybernetes, 44(3), pp. 336-352.

Wu, H., Lv, K., Liang, L., and Hu, H., 2015, Measuring performance of sustainable manufacturing with recyclable wastes: A case from Chinas iron and steel industry, Omega, pp. 1–10.

Emrouznejad, A., Rostami-Tabar, B., and Petridis, K., 2016, A novel ranking procedure for forecasting approaches using Data Envelopment Analysis, Technological Forecasting and Social Change, 111, pp. 235–243.

Amirteimoori, A., Despotis, D. and Kordrostami, S., 2014, Variables reduction in data envelopment analysis, Optimization, 63(5), pp.735–745.

Sevkli, M., Koh, S. C. L., and Zaim, S., 2007, An application of data envelopment analytic hierarchy process for supplier selection: a case study of BEKO in Turkey, International Journal of Production Research, 45(9), pp. 1973-2003.

Song, Chenxi, Li, Mingjia, Zhang, Fan, He, Yaling, and Tao, Wenquan, 2014, Analysis of Energy Efficiency for Coal-fired Power Units Based on Data Envelopment Analysis Model, Energy Procedia, 61, pp. 904-909.

Weber, Charles A., 1996, A data envelopment analysis approach to measuring vendor performance, Supply Chain Management: An International Journal, 1(1), pp. 28-39.

Shorouyehzad, H., Hoseinzadeh Lotfi, F., Aryanezhad, M., and Dabestani, R., 2011, Efficiency and Ranking Measurement of Vendors by Data Envelopment Analysis, International Business Research, 4(2), pp. 137–146.

Mathiyalakan Sathasivam, and Chung, Chen, 1996, A DEA approach for evaluating quality circles, Benchmarking for Quality Management & Technology, 3(3), pp. 59-70.

Fancello, G., Uccheddu, B., and Fadda, P., 2014, Data Envelopment Analysis D.E.A. for Urban Road System Performance Assessment, Procedia - Social and Behavioral Sciences, 111, pp. 780-789.

Goksen, Y., Dogan, O., and Ozkarabacak, B., 2015, A Data Envelopment Analysis Application for Measuring Efficiency of University Departments, Procedia Economics and Finance, 19, pp. 226-237.

Mogha, S. K., Yadav, S. P., and Singh, S. P., 2014, Estimating technical and scale efficiencies of private hospitals using a non-parametric approach: case of India, International Journal of Operational Research, 20(1), pp. 21–40.

Mogha, S. K., Yadav, S. P., and Singh, S. P., 2016, Estimating technical efficiency of public sector hospitals of Uttarakhand India, International Journal of Operational Research, 25(3), pp. 371–399.

Charnes, A., Cooper, W. W., and Rhodes, E., 1978, Measuring the efficiency of decision making units, European Journal of Operational Research, 2(6), pp. 429–444.

Sofianopoulou, S, 2006, Manufacturing cells efficiency evaluation using data envelopment analysis, Journal of Manufacturing Technology Management, 17(2), pp. 224–238.

Parthiban, P., Zubar, H. A., and Katakar, P., 2013, Vendor selection problem: a multi-criteria approach based on strategic decisions, International Journal of Production Research, 51(5), pp. 1535–1548.

Buggie, Frederick D., 2003, How to hold effective Brainstorming Sessions, Handbook of Business Strategy, 4(1), pp. 120-123.

Rust, Roland T., Stewart, Greg L., Miller, Heather, and Pielack, Debbie, 1996, The satisfaction and retention of frontline employees: A customer satisfaction measurement approach, International Journal of Service Industry Management, 7(5), pp. 62-80.

Liu, Jian, and Yu, De-jie, 2004, Evaluation of plant maintenance based on data envelopment analysis, Journal of Quality in Maintenance Engineering, 10(3), pp. 203-209.

Debnath, Roma Mitra, and Sebastian, V.J., 2014, Efficiency in the Indian iron and steel industry – an application of data envelopment analysis, Journal of Advances in Management Research, 11(1), pp.


Amirteimoori, A., Despotis, D. K., and Kordrostami, S., 2012, Variables reduction in data envelopment analysis, Optimization, 63(5), pp. 735-745.

Karakas, F. and Kavas, M., 2008, Creative brainstorming and integrative thinking : skills for twenty-first century managers, Development and Learning in Organizations: An International Journal, 22(2), pp. 8–11.

Fisher, Michael, 1999, Process improvement by poka-yoke, Work Study, 48(7), pp. 264-266.



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