Computation and Improvement of JIT Performance Index for Better Productivity



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Submitted Aug 28, 2018
Published Oct 3, 2018
10.24018/ejeng.2018.3.10.881

Abstract viewed = 439 times

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Manufacturing organization experiences highly volatile market due to the technological updates, customer needs, environmental issues and competitor’s product. The ultimate objective of the manufacturing industries today is to provide the market with products of the highest quality, at reasonable prices, at the optimal time. Just-in-time (JIT) has been widely implemented in manufacturing industries as a survival strategy against global market competition as it offers various benefits, such as greater throughput, higher productivity and better quality. The aim of the paper is to discuss few strategic issues and some important rules for getting the system off the ground. The procedure for planning and implementation along with global status and pay off has been discussed critically. A designed questionnaire for self test has also been given along with evaluation criteria to identify the weakness and strength of the company for successful implementation of JIT
manufacturing strategy. It also gives a methodology for computation and improvement of performance index using the principle of continuous improvement.
This paper focuses on how to enhance the productivity/ performance index while applying
systematically, scientifically basic principles of JIT approaches. The design guidelines are applied to a small scale industry as a case example.
The ideas presented in the paper will be useful for those who want to implement JIT manufacturing in their organizations.

Keywords: Survey Instrument Design Self test Implementation Pay Off Strategic Issues Performance Index

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References

  1. Hartley, J. R., “The world’s Greatest Production line: The Japanese View”, Automotive Industries, Vol. 161 No. 12, December 1981, pp 53-4.
     Google Scholar
  2. Mistry, J.J. ‘Origins of profitability through JIT processes in the supply chain’, Industrial Management & Data Systems, Vol. 105, No. 6, 2005, pp.752–768.
     Google Scholar
  3. Hoeffer, E.L. “GM Tries Just-in-Time American Style: Purchasing, Vol. 93 No. 4 August 1982, pp. 67-72.
     Google Scholar
  4. Aslı, A. and Nursel, O., ‘Supplier selection and performance evaluation in just-in-time production environments’, Expert Systems with Applications, Vol. 38, No. 5, 2011, pp.6351–6359.
     Google Scholar
  5. Schonberger, R.J. Japanese Manufacturing Techniques: Nine Hidden Lesson in simplicity Free Press, New York, 1982.
     Google Scholar
  6. Green, K.W., Jr. and Inman, R.A., ‘Does implementation of a JIT-with-customers strategy change an organization’s structure?’, International Management & Data Systems, Vol. 106, No. 8, 2006, pp.1077–1094.
     Google Scholar
  7. Alawode, A.J. and Ojo, A.O., ‘Just-in-time (JIT) manufacturing: a Panacea for low productivity and idle inventory in Nigerian industries’, Journal of Engineering and Applied Sciences, Vol. 3, No. 10, 2010, pp.742–747.
     Google Scholar
  8. Nellemann, D.O. and Smith, L.F. “Just-in-Time vs. Just-in-Case Production/ Inventory Systems: Concepts Borrowed Back from Japan”, Production and Inventory Management, Vol. 23 No. 22nd Quarter, 1982, pp. 12-20.
     Google Scholar
  9. Cua, K.O., McKone, K.E. and Schroeder, R.G., ‘Relationships between implementation of TQM, JIT, and TPM and manufacturing performance’, Journal of Operations Management, Vol. 19, No. 6, 2001, pp.675–694.
     Google Scholar
  10. Charles Standard and Dale Davis, Running Today’s Factory’ Hanser Gardner publications, Cincinnati, 1999.
     Google Scholar
  11. Hussain, O.K., Dillon, T., Hussain, F.K. and Chang, E., ‘Probabilistic assessment of loss in revenue generation in demand-driven production’, Journal of Intelligent Manufacturing, Online First™, 21 February 2011.
     Google Scholar
  12. Husseini, S.M., Moattar, O’B.C. and Hosseini, S.T., ‘A method to enhance volume flexibility in JIT production control’, International Journal of Production Economics, Vol. 104, No. 2, 2006, pp.653–665.
     Google Scholar
  13. Kaneko, J. and Nojiri, W., ‘The logistics of just-in-time between parts suppliers and car assemblers in Japan’, Journal of Transport Geography, Vol. 16, No. 3, 2008, pp.155–173.
     Google Scholar
  14. Kumar, S. and Grewal, C., ‘Critical analysis of JIT in Indian service industries’, NITJ-India, CPIE, 2007, pp.1–7.
     Google Scholar
  15. Kumar, V., ‘JIT based quality management: concepts and implications in Indian context’, International Journal of Engineering Science and Technology, Vol. 2, No.1, 2010, pp.40–50.
     Google Scholar
  16. Lee, L.C. and Seah, K.H.W., ‘JIT and the effect of varying process and set-up times’, International Journal of Operations & Production Management, Vol. 8, No. 1, 2007, pp.19–35.
     Google Scholar
  17. Mackelprang, A.W. and Nair, A., ‘Relationship between just-in-time manufacturing practices and performance: a meta-analytic investigation’, Journal of Operations Management, Vol. 28, No. 4, 2010, pp.283–302.
     Google Scholar
  18. Surender Kumar, “Industrial Robots and Computer Integrated Manufacturing” Oxford & IBH Publication, 1992, New Delhi.
     Google Scholar
  19. Salaheldin, S.I., ‘JIT implementation in Egyptian manufacturing firms: some empirical evidence’, International Journal of Operations & Production Management, Vol. 25, No. 4, 2005, pp.354–370.
     Google Scholar
  20. M.K. Agrawal and Surender Kumar, “Implementation of Lean Manufactuing in a Moderate Industry” an international Journal – Manufacturing Technology and Research, (ISSN No. 0973-0281), Vol. 10 No. 2, July- December 2014, New Delhi, pp.46-52.
     Google Scholar
  21. Yusuf, Y.Y. and Adeleye, E.O. “A Comparatie Study of Lean and Agile Manufacturing with a Related Survey of Current Practices in the UK”, International Journal of Production Research, Vol. 40 No. 17, pp. 4545-62
     Google Scholar