Two-warehouse inventory model for non-instantaneous deteriorating items with stock-dependent demand and inflation using particle swarm optimization
作者: Sunil TiwariChandra K. JaggiAsoke Kumar BhuniaAli Akbar ShaikhMark Goh
作者单位: 1University of Delhi
2National University of Singapore
3The University of Burdwan
4Tecnológico de Monterrey
刊名: Annals of Operations Research, 2017, Vol.254 (1-2), pp.401-423
来源数据库: Springer Nature Journal
DOI: 10.1007/s10479-017-2492-5
关键词: InventoryNon-instantaneous deteriorationPartial backloggingStock-dependent demandInflationParticle swarm optimization90B05
原始语种摘要: We investigate a two-warehouse inventory model for non-instantaneous deteriorating items with partial backlogging and stock-dependent demand under inflationary conditions. Shortages are allowed. The backlogging rate is variable and depends on the waiting time for the next replenishment. This paper seeks to determine an optimal replenishment policy that minimizes the present value of the total cost per unit time. The necessary and sufficient conditions for the existence and uniqueness of the optimal solution are found. The corresponding problems are formulated and solved with particle swarm optimization. Numerical experimentation and post-optimality analysis are conducted.
全文获取路径: Springer Nature  (合作)
影响因子:1.029 (2012)

  • inventory 库存量
  • inflation 膨胀
  • demand 需用电力
  • stock 岩株
  • dependent 从属的
  • replenishment 补充
  • swarm 
  • optimization 最佳化
  • optimal 最佳的
  • warehouse 仓库