산업경영시스템학회지 (Journal of Korean Society of Industrial and Systems Engineering)

  • 제32권3호
  • /
  • Pages.93-98
  • /
  • 2009
  • /
  • 2005-0461(pISSN)
  • /
  • 2287-7975(eISSN)
한국산업경영시스템학회 (Society of Korea Industrial and System Engineering)
권호 표지

고객 수요가 공급 사슬의 총재고비용과 주문만족율에 미치는 영향

Effect of Customer Demand on Total Inventory Cost and Order Fill Rate in a Supply Chain

  • Published : 2009.09.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

Abstract

This paper studies that $\sigma$ values(10, 20, 50) and $\rho$ values(-0.6, -0.3, 0.0, 0.3, 0.6) affect the total inventory cost of a supply chain and order fill rate when the market demand process follows a general auto-correlated AR(1) process without seasonality. $\sigma$ indicates the degree of demand fluctuation and $\rho$ means the trend of demand. ANOVA tests using a 5% significance level are performed in SPSS to examine significant performance changes among various cases.

Keywords

References

  1. Chatfield, D. C., Kim, J. G., Harrison, T. P., and Hayya, J. C.; "The Bullwhip Effect- Impact of Stochastic Lead Time, Information Quality, and Information Sharing : A Simulation Study," Production and Operations Management, 13(4) : 340-353, 2004 https://doi.org/10.1111/j.1937-5956.2004.tb00222.x
  2. Cho, M. S.; "Effect of Demand Forecasting Methods on the Order Fill Rate in a Supply Chain," Journal of the Korean Society of Supply Chain Management, 7(2) : 49-56, 2007
  3. Forrester, J. W.; "Industrial Dynamics- A Major Breakthrough for Decision Making," Harvard Business Review, 36(4) : 37-66, 1958 https://doi.org/10.1225/58404
  4. Kelepouris, T., Miliotis, P., and Pramatari, K.; "The Impact of Replenishment Parameters and Information Sharing on the Bullwhip Effect: A Computational Study," Computers and Operations Research, 35 : 3657-3670, 2008 https://doi.org/10.1016/j.cor.2007.04.004
  5. Lau, R. S. M., Xie, J., and Zhao, X.; "Effects of Inventory Policy on Supply Chain Performance: A Simulation Study of Critical Decision Parameters," Computers and Industrial Engineering, 55 : 620-633, 2008 https://doi.org/10.1016/j.cie.2008.02.002
  6. Lee, H. L., Padmanabhan, V., and Whang, S.; "Information Distortion in the Supply Chain: the Bullwhip Effect," Management Science, 43(4) : 546-558, 1997 https://doi.org/10.1287/mnsc.43.4.546
  7. Lee, H. L., So, K. C., and Tang, C. S.; "The Value of Information Sharing in a Two-Level Supply Chain," Management Science, 46(5) : 626-643 https://doi.org/10.1287/mnsc.46.5.626.12047
  8. Silver, E. A., Pyke, D. F., and Peterson, R.; Inventory Management and Production Planning and Scheduling, 3rd Edition, John Wiley and Sons, : 237-241, 1998
  9. Strozzi, F., Bosch, J., and Zaldivar, J. M.; "Beer Game Order Policy Optimization under Changing Customer Demand", Decision Support Systems, 42 : 2153-2163, 2007 https://doi.org/10.1016/j.dss.2006.06.001
  10. Thomson, J. S., Mosekilde, E., and, Sterman, J. D.; "Hyperchaotic Phenomena in Dynamic Decision Making," Complexity, Chaos, and Biological Evolution, : 397-420, 1991
  11. Warburton, R. D. H. and Disney, S. M.; "Order and Inventory Variance Amplification: The Equivalence of Discrete and Continuous Time Analyses," International Journal of Production Economics, 110 : 128-137, 2007 https://doi.org/10.1016/j.ijpe.2007.02.021
  12. Zhang, X.; "The Impact of Forecasting Methods on the Bullwhip Effect," International Journal of Production Economics, 88 : 15-27, 2004 https://doi.org/10.1016/S0925-5273(03)00128-2
  13. Zhang, C. and Zhang, C.; "Design and Simulation of Demand Information Sharing in a Supply Chain," Simulation Modelling Practice and Theory, 15 : 32-46, 2007 https://doi.org/10.1016/j.simpat.2006.09.011