Effect of learning and salvage worth on an inventory model for deteriorating items with inventory-dependent demand rate and partial backlogging with capability constraints

In this paper, an inventory model is built with inventory-dependent demand rate and two-warehouses in which demand rate is a polynomial of current inventory level. Moreover, it is typically the case in which the value of system engaged in repetitive operations decreases. Thus, the impact of learning from repetitive method cannot be unnoticed while developing the inventory model with two-level storage. Here, we tend to assume that the capability of the own warehouse, holding value of own and rented warehouse is partly constant and partly decreasing in every cycle, merit to learning impact. Impact of salvage worth is additionally thought of for the deteriorating things. Additionally, we tend to give shortages and assume that the backlogging demand rate depends on the period of the stock-out. The solution is found with the help of some numerical examples. Sensitivity analysis in relation to numerous parameters is also shown.