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고객 수요가 공급 사슬의 총재고비용과 주문만족율에 미치는 영향

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

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주제분류산업공학

초록

This paper studies that values(10, 20, 50) and 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. indicates the degree of demand fluctuation and means the trend of demand. ANOVA tests using a 5% significance level are performed in SPSS to examine significant performance changes among various cases.

Abstract

This paper studies that values(10, 20, 50) and 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. indicates the degree of demand fluctuation and means the trend of demand. ANOVA tests using a 5% significance level are performed in SPSS to examine significant performance changes among various cases.

참고문헌 (13)

  1. Chatfield, D. C., "The Bullwhip Effect- Impact of Stochastic Lead Time, Information Quality, and Information Sharing : A Simulation Study", Production and Operations Management, 13(4), pp.340~353 (2004)
  2. 조면식, "수요예측 방법이 공급체인의 주문 만족율에 미치는 영향", 한국SCM학회지, 7(2), pp.49~56 (2007), 한국SCM학회
  3. Forrester, J. W., "Industrial Dynamics- A Major Breakthrough for Decision Making", Harvard Business Review, 36(4), pp.37~66 (1958)
  4. Kelepouris, T., "The Impact of Replenishment Parameters and Information Sharing on the Bullwhip Effect : A Computational Study", Computers and Operations Research, 35, pp.3657~3670 (2008)
  5. Lau, R. S. M., "Effects of Inventory Policy on Supply Chain Performance: A Simulation Study of Critical Decision Parameters", Computers and Industrial Engineering, 55, pp.620~633 (2008)
  6. Lee, H. L., "Information Distortion in the Supply Chain: the Bullwhip Effect", Management Science, 43(4), pp.546~558 (1997)
  7. Lee, H. L., "The Value of Information Sharing in a Two-Level Supply Chain", Management Science, 46(5), pp.626~643
  8. Silver, E. A., "Inventory Management and Production Planning and Scheduling, 3rd Edition", pp.237~241 (1998), John Wiley and Sons
  9. Strozzi, F., "Beer Game Order Policy Optimization under Changing Customer Demand", Decision Support Systems, 42, pp.2153~2163 (2007)
  10. Thomson, J. S., "Hyperchaotic Phenomena in Dynamic Decision Making", Complexity, Chaos, and Biological Evolution, pp.397~420 (1991)
  11. Warburton, R. D. H., "Order and Inventory Variance Amplification:The Equivalence of Discrete and Continuous Time Analyses", International Journal of Production Economics, 110, pp.128~137 (2007)
  12. Zhang, X., "The Impact of Forecasting Methods on the Bullwhip Effect", International Journal of Production Economics, 88, pp.15~27 (2004)
  13. Zhang, C., "Design and Simulation of Demand Information Sharing in a Supply Chain", Simulation Modelling Practice and Theory, 15, pp.32~46 (2007)

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