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Productivity Improvement by Reduction of Cycle Time Through Implementing Clustering: A Case Study

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Abstract

Productivity is the performance paradigm implying the transformation of man power and material sources into essential goods and utilities. Instant study is concerned with a small-scale production unit near Ambala, Haryana, manufacturing quality tractor parts and fulfilling the monthly requirement of big customers such as Swaraj tractors, Standard, Preet, and Sonalika tractors. The primary goal of the implemented research was to examine the determinants required for reduction of cycle time and betterment of productivity at the manufactory level. The recommended clustering for manufacturing the intended components is designed by developing a universal setup to target the non-productive elements, i.e., setting time. Needful was achieved by stimulating the monthly production and dropping the component manufacturing cost by way of reducing its cycle time by employing clustering principle. p-chart for fraction defectives employed as a statistical tool. Experimentation reveals that validating improved processes and tooling, a total productivity improvement of above 10% was observed.

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References

  1. Adam, E.E.: Alternative quality improvement practices and organization performance. J. Oper. Manag. 12(1), 27–44 (1994). https://doi.org/10.1016/0272-6963(94)90004-3

    Article  Google Scholar 

  2. Lieberman, M.B., Demeester, L.: Inventory reduction and productivity growth: linkages in the Japanese automotive industry. Manage. Sci. 45(4), 466–485 (1999). https://doi.org/10.1287/mnsc.45.4.466

    Article  MATH  Google Scholar 

  3. Bouman, B.A.M., Tuong, T.P.: Field water management to save water and increase its productivity in irrigated lowland rice. Agric. Water Manag. 49(1), 11–30 (2001). https://doi.org/10.1016/S0378-3774(00)00128-1

    Article  Google Scholar 

  4. Jin, D., Thunberg, E., Kite-Powell, H., Blake, K.: Total factor productivity change in the New England groundfish fishery: 1964–1993. J. Environ. Econ. Manag. 44(3), 540–556 (2002). https://doi.org/10.1006/jeem.2001.1213

    Article  MATH  Google Scholar 

  5. Sheth, J.N., Sisodia, R.S.: Marketing productivity: issues and analysis. J. Bus. Res. 55(5), 349–362 (2002)

    Article  Google Scholar 

  6. Lall, S.V., Shalizi, Z., Deichmann, U.: Agglomeration economies and productivity in Indian industry. J. Dev. Econ. 73(2), 643–673 (2004). https://doi.org/10.1016/j.jdeveco.2003.04.006

    Article  Google Scholar 

  7. Görg, H., Hanley, A.: International outsourcing and productivity: evidence from the Irish electronics industry. North Am. J. Econ. Finance 16(2), 255–269 (2005). https://doi.org/10.1016/j.najef.2004.11.006

    Article  Google Scholar 

  8. Oweis, T., Hachum, A.: Water harvesting and supplemental irrigation for improved water productivity of dry farming systems in West Asia and North Africa. Agric. Water Manag. 80(1–3), 57–73 (2006). https://doi.org/10.1016/j.agwat.2005.07.004

    Article  Google Scholar 

  9. Playán, E., Mateos, L.: Modernization and optimization of irrigation systems to increase water productivity. Agric. Water Manag. 80(1–3), 100–116 (2006). https://doi.org/10.1016/j.agwat.2005.07.007

    Article  Google Scholar 

  10. Fernandes, A.M.: Firm productivity in Bangladesh manufacturing industries. World Dev. 36(10), 1725–1744 (2008). https://doi.org/10.1016/j.worlddev.2008.01.001

    Article  Google Scholar 

  11. Restuccia, D., Rogerson, R.: Policy distortions and aggregate productivity with heterogeneous establishments. Rev. Econ. Dyn. 11(4), 707–720 (2008). https://doi.org/10.1016/j.red.2008.05.002

    Article  Google Scholar 

  12. Restuccia, D., Yang, D.T., Zhu, X.: Agriculture and aggregate productivity: a quantitative cross-country analysis. J. Monetary Econ. 55(2), 234–250 (2008). https://doi.org/10.1016/j.jmoneco.2007.11.006

    Article  Google Scholar 

  13. Worthington, A.C., Lee, B.L.: Efficiency, technology and productivity change in Australian universities, 1998–2003. Econ. Educ. Rev. 27(3), 285–298 (2008). https://doi.org/10.1016/j.econedurev.2006.09.012

    Article  Google Scholar 

  14. Nataraj, S.: The impact of trade liberalization on productivity: evidence from India’s formal and informal manufacturing sectors. J. Int. Econ. 85(2), 292–301 (2011). https://doi.org/10.1016/j.jinteco.2011.07.003

    Article  MathSciNet  Google Scholar 

  15. Shanmugaraja, M., Nataraj, M., Gunasekaran, N.: Defect control analysis for improving quality and productivity: an innovative Six Sigma case study. Int. J. Qual. Innov. 1(3), 259–282 (2011)

    Article  Google Scholar 

  16. Sivakumar, A., Saravanan, K.: A simulation-based analysis for improvement of productivity in sick chemical dyeing factory: a research article. Int. J. Electron. Transp. 1(1), 96–110 (2011). https://doi.org/10.1504/IJET.2011.043112

    Article  Google Scholar 

  17. Saleeshya, P.G., Bhadran, A.: Productivity improvement through lean initiative in a surgical equipment manufacturing company: a case study. Int. J. Bus. Syst. Res. 9(4), 297–314 (2015). https://doi.org/10.1504/IJBSR.2015.072580

    Article  Google Scholar 

  18. Dangayach, G.S., Guglani, L.: Application of Moldflow and Taguchi technique in improving the productivity of injection moulded energy meter base. Int. J. Process Manag. Benchmark. 5(3), 375–385 (2015). https://doi.org/10.1504/IJPMB.2015.070820

    Article  Google Scholar 

  19. Sarkar, A., Mukhopadhyay, A.R., Ghosh, S.K.: Productivity improvement by reduction of idle time through application of queuing theory. Opsearch 52(2), 195–211 (2015). https://doi.org/10.1007/s12597-014-0177-2

    Article  MathSciNet  MATH  Google Scholar 

  20. Singh, S., Singhal, S.: Productivity betterment: implementation of clustering with improved tooling in manufacturing. Int. J. Prod. Manag. Assess. Technol. (IJPMAT) 6(2), 1–18 (2018). https://doi.org/10.4018/IJPMAT.2018070101

    Article  Google Scholar 

  21. Goldar, B., Krishna, K.L., Aggarwal, S.C., Das, D.K., Erumban, A.A., Das, P.C.: Productivity growth in India since the 1980s: the KLEMS approach. Indian Econ. Rev. 52(1–2), 37–71 (2017). https://doi.org/10.1007/s41775-017-0002-y

    Article  Google Scholar 

  22. Singh, S., Singhal, S.: Productivity perfection and analysis in manufacturing top cover: implementing clustering approach with combination tooling. J. Eng. Technol. 6, 339–353 (2018)

    Google Scholar 

  23. Benkovskis, K.: Misallocation, productivity and fragmentation of production: the case of Latvia. J. Prod. Anal. 49(2–3), 187–206 (2018). https://doi.org/10.1007/s11123-018-0530-1

    Article  Google Scholar 

  24. Triebs, T.P., Kumbhakar, S.C.: Management in production: from unobserved to observed. J. Prod. Anal. 49(2–3), 111–121 (2018). https://doi.org/10.1007/s11123-018-0526-x

    Article  Google Scholar 

  25. Sangani, R., Kottur, V.K.N.: Enhancement in productivity by integration of 5S methodology and time and motion study. In: Proceedings of International Conference on Intelligent Manufacturing and Automation (pp. 541–550). Springer, Singapore. https://doi.org/10.1007/978-981-13-2490-1_50 (2019)

    Google Scholar 

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Acknowledgements

The author is grateful to Ambala College of Engineering and Applied Research (ACE) for providing necessary facilities. I would also like to express a broad sense of gratitude to my Supervisor Dr. Sandeep Singhal, Associate Professor, Department of Mechanical Engineering, NIT Kurukshetra for imparting his able guidance without which this work would have been impossible.

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Correspondence to Satbir Singh .

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Singh, S., Singhal, S. (2020). Productivity Improvement by Reduction of Cycle Time Through Implementing Clustering: A Case Study. In: Shunmugam, M., Kanthababu, M. (eds) Advances in Simulation, Product Design and Development. Lecture Notes on Multidisciplinary Industrial Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-32-9487-5_61

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  • DOI: https://doi.org/10.1007/978-981-32-9487-5_61

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-32-9486-8

  • Online ISBN: 978-981-32-9487-5

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