摘要(英) |
For general order policy, we can see a lot of literature that describes much environment. Nevertheless, only a few literature describes the sale of life with consideration of nonhomogeneous random obsolete time. We assume a kind of products, whose life is stochastic. The products are phased out, as their life of sale is over. We construct the special scenario of our research. We consider a kind of product with obsolete time, and the lead time equals to zero. In other words, we order the product which is replenished to the stock level immediately. In this research, we only consider a single product.
In the inventory model of our research, we combine multiperiod newsvendor model and nonhomogeneous random obsolete time, and construct a recursive function of dynamic programming with backward. The function includes the conditional probability of life, the phased out cost, the shortage cost, the holding cost and purchase cost in next period. In order to ordering the products, we optimize the function every period. Because we don’t know the time of phase out, we don’t have the optimal solution of total problem. We will simulate the order policy which is setted by us to represent the result in our study on the last chapter of numerical analysis. |
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