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Two techniques for solving nonlinear decreasing demand inventory system with shortage backorders

Author

Listed:
  • Ririn Diar Astanti
  • The Jin Ai
  • Hunyh Trung Luong
  • Hui-Ming Wee

Abstract

This paper considers an inventory model with nonlinear decreasing demand and shortage backorders. Two techniques are proposed to solve the problem. The first heuristic technique is based on cost reduction concept and the second one applies the particle swarm optimisation algorithm. The results from the two proposed techniques for variable replenishment interval policies are compared with those of fixed replenishment interval policy. The computational experiments show that the total cost resulted from variable replenishment interval policy is smaller than the fixed replenishment interval policy, especially when the demand rate is highly nonlinear.

Suggested Citation

  • Ririn Diar Astanti & The Jin Ai & Hunyh Trung Luong & Hui-Ming Wee, 2018. "Two techniques for solving nonlinear decreasing demand inventory system with shortage backorders," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 31(2), pages 198-223.
    • Handle: RePEc:ids:ijores:v:31:y:2018:i:2:p:198-223
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