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Modeling (r, Q) policy in a two-level supply chain system with fuzzy demand

Pirayesh, M. A ; Sharif University of Technology | 2010

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  1. Type of Document: Article
  2. DOI: 10.1142/S0218488510006817
  3. Publisher: 2010
  4. Abstract:
  5. In this paper a two level supply chain system is studied, in which the final demand is assumed to be fuzzy with triangular membership function. The inventory control policy of (r, Q) is followed for this system and unsatisfied demand is assumed to be back ordered. The objective is to minimize the total cost of the system, including ordering, holding and shortage costs. The model happens to be a nonlinear programming. Considering the complexity arising from the model, we also develop a genetic algorithm to obtain a near-optimal solution. The method is illustrated through some numerical examples
  6. Keywords:
  7. Fuzzy set ; Genetic algorithm ; Supply chain ; Fuzzy demand ; Inventory control policies ; Near-optimal solutions ; Numerical example ; Shortage cost ; Supply chain systems ; Total costs ; Triangular membership functions ; Unsatisfied demand ; Chains ; Fuzzy sets ; Inventory control ; Membership functions ; Optimization ; Supply chain management ; Supply chains ; Genetic algorithms
  8. Source: International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems ; Volume 18, Issue 6 , 2010 , Pages 819-841 ; 02184885 (ISSN)
  9. URL: http://www.worldscientific.com/doi/abs/10.1142/S0218488510006817