Journal of Korean Institute of Industrial Engineers (대한산업공학회지)

Korean Institute of Industrial Engineers (대한산업공학회)
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Effectiveness of an Exponentially Smoothed Ordering Policy as Compared with Kanban System

  • Published : 2008.03.31
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Abstract

The Kanban system in Just-In-Time (JIT) production is very effective in reducing the inventories when consumption rate of the final product is relatively stable. When large fluctuations exist in the consumption rate, a new production ordering policy in which the production order quantity is determined by smoothing the demands exponentially is more suitable. This new ordering policy has not been investigated sufficiently. In this research, a multi-stage production and inventory system with stock points for materials and finished items located at each stage is considered. Approximations of average inventories at each stage in the system are derived theoretically. Numerical simulations are carried out to assess the accuracy of approximations and to evaluate the effectiveness of the new ordering policy as compared with the Kanban system. As a result, it is shown that the new ordering policy can achieve significantly lower inventory costs than the original Kanban system. The new ordering policy thus emerges as a key concept for an effective supply chain management.

Keywords

References

  1. Dudek, G. (2004), Collaborative planning in supply chain: A negotiation-based approach, Springer.
  2. Graves, S. C. and Willems, S. P. (2003), Supply chain Design : Safety stock placement and supply chain configuration, in de Kok, A. G. and Graves, S. C (Eds.), Handbook in Operations Research and Management Science Vol.11, Elsevier, 95-132.
  3. Klose, A, Speranza, M. G. and Van Wassenhove, L. N. Eds. (2002), Quantitative approaches to Distribution logistics and supply chain management, Springer.
  4. Korkmazel, T. and Meral, S. (2001), Bicriteria sequencing methods for the mixed-model assembly line in just-intime production systems, European J. of Operational Research 131(1), 188-207. https://doi.org/10.1016/S0377-2217(00)00061-8
  5. Kotani, S. (1990), Analysis of Kanban System by the Exponential Smoothing Method, Proceedings of 1st APORS within IFORS, 305-318.
  6. Krajewski, L. J., King, B. E., Ritzman, L. P. and Wong, D. S. (1987). Kanban, MRP, and shaping the manufacturing environment, Management Science 33(1), 39-57. https://doi.org/10.1287/mnsc.33.1.39
  7. Kubiak, W. (1993), Minimizing variation of production rates in just-in-time systems : a survey, European J. of Operational Research 66, 259-271. https://doi.org/10.1016/0377-2217(93)90215-9
  8. Miltenburg, J. (1997), Comparing JIT, MRP and TOC, and embedding TOC into MRP, International Journal of Production Research 35(4), 1147-1169. https://doi.org/10.1080/002075497195597
  9. Monden, Y. (1998), Toyota Production System: An Integrated Approach to Just-In-Time, 3rd Ed., Engineering & Management Press.
  10. Spearman, M. L., Woodruff, D. L. and Hopp, W. J. (1990), CONWIP : A pull alternative of kanban, International Journal of Production Research 28(5), 879-894. https://doi.org/10.1080/00207549008942761
  11. Tamura, T., Kojima, M., Fujita, S. and Kumagai, C. (2005), An effectiveness of an exponentially smoothed ordering policy, Proceedings of Int. Conference on Operations and Supply Chain Management, Bali-Indonesia, B.1-B.8.
  12. Tamura, T., Dhakar, T. S., Ohno, K. and Kojima. M. (2006), Effectiveness of an Exponentially Smoothed Ordering Policy in a Multi-Stage Production System, Proceedings of the 7th Asia Pacific IE and Management Systems Conference 2006, Bangkok-Thailand, 1959-1970.