A Partial Backlogging Inventory Model for Non-instantaneous Deteriorating Items with Stock-dependent Consumption Rate under Inflation

نویسندگان

  • Horng Jinh CHANG
  • Wen Feng LIN
چکیده

In this paper, we derive a partial backlogging inventory model for noninstantaneous deteriorating items with stock-dependent demand rate under inflation over a finite planning horizon. We propose a mathematical model and theorem to find minimum total relevant cost and optimal order quantity. Numerical examples are used to illustrate the developed model and the solution process. Finally, a sensitivity analysis of the optimal solution with respect to system parameters is carried out.

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تاریخ انتشار 2010