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Supply Chain Contract Model with Vague Demand Information

모호한 수요정보에서의 공급망 계약 모델

  • Kim, Gi-Tae (Kansas State University) ;
  • Park, Jun-Cheul (Department of Industrial Information and Management Engineering, Gangneung-Wonju National University)
  • Received : 2012.04.12
  • Accepted : 2012.06.27
  • Published : 2012.06.30

Abstract

본 논문은 고객의 수요정보에 대해 모호한 정보를 가진 공급자와 구매자 사이의 공급망 계약에 관한 것을 다루고 있는 것으로, 고객 수요에 대한 불확실성은 확률적 프로그래밍 모델에서 공식적으로 다루어져왔다. 확률적 프로그램의 한 가지 핵심적인 가정은 널리 알려져 있는바와 같이 수요에 대한 확률분포가 알려져 있다는 것이다. 그럼에도 불구하고 만약 수요에 대한 정보가 모호하거나 정확하지 않다면 수요에 대한 확률분포가 정확하지 않다는 점이다. 이런 상황에서 퍼지 이론은 수요정보를 나타내는데 유용하다고 할수 있다. 본 논문은 퍼지 랜덤수요변수들을 분산시스템의 공급망 계약에서 다루고 있다. 이 계약은 구매자의 주문량을 조정하는 옵션을 이용한다. 본 연구는 퍼지 랜덤 변수들을 GMIR(Graded Mean Integration Representation)을 이용하여, 알고리즘을 통해 구현함으로써 실증적 결과 값을 제시하고 미래 연구의 확장 가능성을 제시하고 있다.

Keywords

References

  1. 문태수, 강성배, "환경, 조직, 정보시스템 요인이 공급사슬관리(SCM) 시스템의 균형적 기업 성과(BSC)에 미치는 영향 연구," 정보시스템연구, 제17권, 제2호, 2008, pp.1-26.
  2. 서창교, 박종채, 정은희, "공급체인관리시스템 도입에 영향을 주는 요인," 정보시스템연구, 제12권, 제2호, 2003, pp.165-187.
  3. 조남재, 윤재환, 정진관, "공급자-구매자 조직간 특성과 EDI 활용수준이SCM 성과에 미치는 영향에 관한 연구," 정보시스템연구, 제16권, 제4호, 2007, pp.165-187.
  4. Arshinder, K. A., Deshmukh, S. G., "Coordination in Supply Chains: An Evaluation Using Fuzzy Logic," Production Planning and Control, Vol. 18, No.5, 2007, pp.420-435. https://doi.org/10.1080/09537280701430994
  5. Bjork, K. M., Carlsson, C., "The Outcome of Flexible Lead Times on the Distributors," System Sciences, HICSS '05 Proceedings of the 38th Annual Hawaii International Conference on 2005, 2005, pp.81a-81a.
  6. Cachon, G., Supply Chain Coordination with Contracts, Handbooks in Operations Research and Management Science: Supply Chain Management, North Holland, 2003.
  7. Chen, S. H., "Operations of Fuzzy Numbers with Step Form Membership Function Using Function Principle," Information Sciences, Vol.108, No.1-4, 1998, pp.149-155. https://doi.org/10.1016/S0020-0255(97)10070-6
  8. Chen, S. H., Wang, C. C., "Representation, Ranking, Distance and Similarity of Fuzzy Numbers with Step Form Membership Function Using K-preference Integration Method," Annual Conference of the North American Fuzzy Information Processing Society-NAFIPS, 2001, pp.801-806.
  9. Chen, S. J., Chen, S. M., "A New Method to Measure the Similarity between Fuzzy Numbers," 10th IEEE International Fuzzy Systems Conference, 2001, pp.1123-1126.
  10. Chen, S. P., Ho, Y. H., "Analysis of the Newsboy Problem with Fuzzy Demands and Incremental Discounts," International Journal of Production Economics, Vol.129, No.1, 2011, pp.169-177. https://doi.org/10.1016/j.ijpe.2010.09.014
  11. Delft, C., Vial, J. P., "A Practical Implementation of Stochastic Programming: An Application to the Evaluation of Option Contracts in Supply Chains," Automatica, Vol.40, No.5, 2004, pp.743-756. https://doi.org/10.1016/j.automatica.2003.12.008
  12. Dutta, P., Chakraborty, D., Roy, A. R., "A Single-Period Inventory Model with Fuzzy Random Variable Demand," Mathematical and Computer Modelling, Vol.41, No.8-9, 2005, pp.915-922. https://doi.org/10.1016/j.mcm.2004.08.007
  13. Frascatore, M. R., Mahmoodi, F., "Long-Term and Penalty Contracts in a Two-Stage Supply Chain with Stochastic Demand," European Journal of Operational Research, Vol.184, No.1, 2008 pp.147-156. https://doi.org/10.1016/j.ejor.2006.10.056
  14. Hall, J., Fu, G., Lawry, J., "Imprecise Probabilities of Climate: Aggregation of Fuzzy Scenarios and Model Uncertainties," Climate Change, Vol.81, No.3-4, 2007, pp.265-281. https://doi.org/10.1007/s10584-006-9175-6
  15. Hu, Q., Kumar, A.; Shuang, Z., "A Bidding Decision Model in Multiagent Supply Chain Planning," International Journal of Production Research, Vol.39, No.15, 2001, pp.3291-3301. https://doi.org/10.1080/00207540110060860
  16. Li, X., Zhao, Z., "Supply Chain Real Time Coordination Method Based on Buyback Contract with Fuzzy Random Demand," IEEE International Conference on Fuzzy Systems, Sheraton Vancouver Wall Centre Hotel, 2006, pp.1543-1549.
  17. Peng, Y., Chen, H., "Measuring Supply Chain Flexibility and Selecting Supplier based on Supply Contract," Services Systems and Services Management, Proceedings of ICSSSM '05. International Conference, 2005, pp.669-673.
  18. Petrovic, D., Roy, R., Petrovic, R., "Modelling and Simulation of a Supply Chain in An Uncertain Environment," European Journal of Operational Research, Vol.109, No.2, 1998, pp.299-309. https://doi.org/10.1016/S0377-2217(98)00058-7
  19. Sanders, I., Batty, W. J., Probert, S. D., Hagino, K., Aida, S., "Supply of, and Demand for, A Resource: Fuzzy Logistical Optimisation Technique," Applied Energy, Vol.46, No.4, 1993, pp.285-302. https://doi.org/10.1016/0306-2619(93)90046-R
  20. Sang, S.J., Zhang, Q., Wu, J.Z., "Return Contract of Supply Chain with Fuzzy Continuous Demand," Journal of Beijing Institute of Technology (English Edition), Vol.19, No.1, 2010, pp.115-120.
  21. Simchi, D., Kaminsky, P., Designing and Managing the Supply Chain: Concepts, Strategies, and Case Studies, 2nd ed, McGraw-Hill, 2003
  22. Wang, J., Zhao, R., Tang, W., "Supply Chain Coordination by Revenue-Sharing Contract with Fuzzy Demand," Journal of Intelligent and Fuzzy Systems, Vol.19, No.6, 2008, pp.409-420.
  23. Wang, J., Zhao, R., Tang, W., "Supply Chain Coordination by Single-Period and Long-Term Contracts with Fuzzy Market Demand," Tsinghua Science and Technology, Vol.14, No.2, 2009, pp.218-224. https://doi.org/10.1016/S1007-0214(09)70033-1
  24. Xiong, H., Chen, B., Xie, J., "A Composite Contract based on Buy Back and Quantity Flexibility Contracts," European Journal of Operational Research, Vol.210, No.3, 2011, pp.559-567. https://doi.org/10.1016/j.ejor.2010.10.010
  25. Zimmermann, H. J ., Fuzzy Set Theory and Its Applications, 2nd ed, Kluwer Academic Publishers, 1991.