서비스 수준 제약하의 다단계 분배형 공급망에 대한 분배계획

Distribution Planning for a Distributed Multi-echelon Supply Chain under Service Level Constraint

  • 발행 : 2009.09.30

초록

In a real-life supply chain environment, demand forecasting is usually represented by probabilistic distributions due to the uncertainty inherent in customer demands. However, the customer demand used for an actual supply chain planning is a single deterministic value for each of periods. In this paper we study the choice of single demand value among of the given customer demand distribution for a period to be used in the supply chain planning. This paper considers distributed multi-echelon supply chain and the objective function of this paper is to minimize the total costs, that is the sum of holding and backorder costs over the distribution network under the service level constraint, by using demand selection scheme. Some useful findings are derived from various simulation-based experiments.

키워드

참고문헌

  1. 박기태, 권익현, 김성식, '시뮬레이션을 통한 공급 사슬내의 효과적인 수요 선택 방안에 관한 연구', 한국SCM학회지, 4권, 1호 (2004) : pp. 61-69
  2. 박기태, 권익현, 김성식, '서비스 수준 제약하의 공급망 분배계획을 위한 수요선택 방안에 관한 연구', 한국시뮬레이션학회 논문지, 15권, 3호 (2006) : pp.39-47
  3. 박기태, 권익현, '공급망의 목표 서비스 수준만족을 위한 효과적인 수요선택 방안', 대한안전경영과학회지, 제11권, 1호, (2009) : pp. 205-211
  4. 안재성, 권익현, 김성식, 'Rolling horizon 환경하에서 다단계 재고 모형의 분배계획 수립에 관한 연구', IE Interfaces, 16권, 4호 (2003) : pp. 441-449
  5. Axsater, S., Inventory Control, Springer (2006)
  6. Chopra, S. and Meindl, P., Supply Chain Management:Strategy, Planning, and Operation, Prentice-Hall (2006)
  7. Clark, A.J. and Scarf, H., 'Optimal policies for a multi-echelon inventory problem', Management Science, Vol.6 (1960) : pp. 475-490 https://doi.org/10.1287/mnsc.6.4.475
  8. Diks, E.B., de Kok, A.G. and Lagodimos, A.G., 'Multi-echelon systems : A service measure perspective', European Journal of Operational Research, Vol.95 (1996) : pp. 241-263 https://doi.org/10.1016/S0377-2217(96)00120-8
  9. Federgruen, A. and Zipkin, P.H., 'Computational issues in an infinite-horizon multiechelon inventory model', Operations Research, Vol.32 (1984) : pp. 818-836 https://doi.org/10.1287/opre.32.4.818
  10. Forrester, J.W., Industrial Dynamics, MIT Press (1961)
  11. Park, C., 'Simulation-based heuristic algorithmminimizing average inventory costs on a multi-stage serial inventory system: A service measure perspective', International Journal of Industrial Engineering, Vol.11 (2004) : pp.160-168
  12. Van der Heijden, M.C., 'Near cost-optimal inventory control policies for divergent networks under fill rate constraints', International Journal of Production Economics, Vol.63 (2000) : pp. 161-179 https://doi.org/10.1016/S0925-5273(99)00008-0
  13. Vollmann, T.E., Berry, W.L., Whybark, D.C. and Jacobs, F.R., Manufacturing Planning and Control Systems for Supply Chain Management, McGraw-Hill (2004)
  14. Zipkin, P.H., Foundations of Inventory Management, McGraw-Hill (2000)