Abstract
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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Chang, H. J., & Lin, W. F. (2010). A partial backlogging inventory model for non-instantaneous deteriorating items with stock-dependent consumption rate under inflation. Yugoslav Journal of Operations Research, 20(1), 35–54. https://doi.org/10.2298/YJOR1001035C
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