A GENERAL OVERVIEW OF THE PRODUCTION MANAGEMENT-JUST-IN TIME APPROACH: AN APPLICATION IN A BUSINESS OF AUTOMOTIVE SECTOR

Purpose- The purpose of this study is to describe the basic-detail definition and features of this approach, to demonstrate the literature of JIT paradigm and to find the best alternative after investigating the working principles of different systems. The study was held in a factory of this company.Methodology- The means of kanban and classical system were tested statistically in order to determine the kanban stock level and classical system differ from each other. Their variances were found and Z test was applied. The simulation was done with respect to the part x for kanban and classical system.Findings- The comparison of the old system with the new system is presented clearly. For the proof of the comparison results, z test and sum of deviations were used together too. The z test proved that the new systems were better than the old systems and also results were found for the sum of squared deviations from the minimum stock.Conclusion- JIT system is surely practicable in Quality management and mostly in Total Quality Management. Some other quality systems began to apply JIT in their own factories. Within the scope of this study, The JIT system supports a better environment for production. By this technique, the scrap rate, lead-time, and the inventory level decrease where efficiency and utilization of the workers and the machines increases.

Keywords:

Business, quality Just-in-Time, paradigm,

PDF

___

AbdulRahman, N. A., Sharif, S. M., Esa, M. M. (2013). Lean manufacturing case study with Kanban System implementation. Procedia Economics and Finance 7, 174-180. https://doi.org/10.1016/S2212-5671(13)00232-3.
Aradhyea, A. S, Kallurkarb, S. P. (2014). A case study of just-in-time system in service industry. Procedia Engineering 97, 2232-2237. https://doi.org/10.1016/j.proeng.2014.12.467.
Bufta, E. S., Sarin, R. K. (1987). Modern production/operation management, Eigth Edition. New York: Wiley, c1987. ISBN-9780471819059. xiv, 834 p.
Chase, R., Aquilano, N. (1998). Production and operation management, 8th edition. Irwin/McGraw-Hill, - The Irwin/McGraw-Hill series, operations, and decision sciences. 889 p. ISBN 13: 9780256019193.
Chung, W., Talluri, S., Kovács, G. (2018). Investigating the effects of lead-time uncertainties and safety stocks on logistical performance in a border-crossing JIT supply chain. Computers & Industrial Engineering 118, 440-450. https://doi.org/10.1016/j.cie.2018.03.018.
Dalcı, İ., Tanis, İ. C. (2006). The effect and implementation of just-in-time system from a cost and management accounting perspective. Ç.Ü. Sosyal Bilimler Enstitüsü Dergisi, Cilt 15, Sayı 1, 2006, s.109-124.
Dilworth, J. B. (1992). Operations management. McGraw-Hill, 1992 - Free Press, 723 p. ISBN 9780070170216.
Gamberini, R., Meli, M., Galloni, L., Rimini, B., Loll, F. (2013). Alternative refilling policies for an assembly line managed by kanbans. IFAC Proceedings Volumes, 46 (9), 1914-1919, https://doi.org/10.3182/20130619-3-RU-3018.00481.
Hui, W., Qiguo, G., Shouyang, W. (2018). Information processing structures and decision making delays in MRP and JIT. International Journal of Production Economics, Volume 188, 41-49 pp.. https://doi.org/10.1016/j.ijpe.2017.03.016.
Iqbal, T., Huq, F., Khurrum M., Bhuttab, S. (2018). Agile manufacturing relationship building with TQM, JIT, and firm performance: an exploratory study in apparel export industry of Pakistan, International Journal of Production Economics 203, 24-37. https://doi.org/10.1016/j.ijpe.2018.05.033.
Inmana, R. A., Saleb, R. S., Green, Jr. K. W., Whittend, D. (2011). Agile manufacturing: relation to JIT, operational performance and firm performance. Journal of Operations Management 29(4), 343-355, https://doi.org/10.1016/j.jom.2010.06.001.
James R. Martin, J.R, and Emeritus, University of South Florida, Comparing Traditional Costing, ABC, and JIT, Management, And Accounting Web, http://maaw.info/TradABCJIT.htm, Access Date: 12.12.2017.
James R. Martin, J.R, and Emeritus, University of South Florida, Comparing Traditional Costing, ABC, and JIT, Management, And Accounting Web, http://maaw.info/TradABCJIT.htm, Access Date: 12.12.2017.
Kong, L., Li, H., Luo, H., Ding, L., Zhang, X. (2018). Sustainable performance of just-in-time (JIT) management in time-dependent batch delivery scheduling of precast construction. Journal of Cleaner Production 193, 684-701. https://doi.org/10.1016/j.jclepro.2018.05.037.
Kootanaee, A. J., Babu, K. N., Talari, H. F. (2013). Just-in-time manufacturing system: from introduction to implement. International Journal of Economics, Business, and Finance 1(2), 7 – 25, ISSN: 2327-8188.
Maiga, A. S., Jacobs, F. A. (2009). JIT performance effects: a research note. Advances in Accounting 25(2), 183-189. https://doi.org/10.1016/j.adiac.2009.06.003.
Meredith, J. R. (1992). The management of operations: a conceptual emphasis, Fourth Edition. Wiley. ISBN-13: 978-0471509097. 800 p.
Naufal, A., Jaffar, A., Yusoff, N., Hayati, N. (2012). Development of Kanban System at local manufacturing company in Malaysia–case study. Procedia Engineering 41, 1721-1726. https://doi.org/10.1016/j.proeng.2012.07.374
Puchkova, A., Romancer, J. L., McFarlane, D. (2016). Balancing push and pull strategies within the production system. IFAC-PapersOnLine 49(2), 66-71. https://doi.org/10.1016/j.ifacol.2016.03.012.
Richard T. L. (1988). Just-in-time manufacturing. New York: McGraw-Hill Book Company.
Rohani, J. M., Zahraee, S. M. (2015). Production line analysis via value stream mapping: a lean manufacturing process of color industry. Procedia Manufacturing 2, 6-10. https://doi.org/10.1016/j.promfg.2015.07.002. Starr, M. K. (1989). Managing production and operations. Englewood Cliffs, N.J. : Prentice Hall. ISBN-0135514258. 647 p.
Setsuo, M., Taiichi, O. (1986). Just-in-time for today and tomorrow. Cambridge: Productivity Press, Inc.
Wheelen, T., Hunger, D. (2004). Strategic management and business policy, Fifth Edition. Pearson Education, Inc., publishing as Prentice Hall. 913 p. ISBN-13: 978-0-13-215322-5.