首页> 外文期刊>Journal of industrial and management optimization >JOINT PRICING AND REPLENISHMENT DECISIONS FOR NON-INSTANTANEOUS DETERIORATING ITEMS WITH PARTIAL BACKLOGGING, INFLATION- AND SELLING PRICE-DEPENDENT DEMAND AND CUSTOMER RETURNS
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JOINT PRICING AND REPLENISHMENT DECISIONS FOR NON-INSTANTANEOUS DETERIORATING ITEMS WITH PARTIAL BACKLOGGING, INFLATION- AND SELLING PRICE-DEPENDENT DEMAND AND CUSTOMER RETURNS

机译:非即时变差商品的联合定价和补货决定,部分积压,虚增和出售依赖价格和客户退货

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This paper develops an Economic Order Quantity (EOQ) model for non-instantaneous deteriorating items with selling price- and inflation-induced demand under the effect of inflation and customer returns. The customer returns are assumed as a function of demand and price. Shortages are allowed and partially backlogged. The effects of time value of money are studied using the Discounted Cash Flow approach. The main objective is to determine the optimal selling price, the optimal length of time in which there is no inventory shortage, and the optimal replenishment cycle simultaneously such that the present value of total profit is maximized. An efficient algorithm is presented to find the optimal solution of the developed model. Finally, a numerical example is extracted to solve the presented inventory model using the proposed algorithm and the effects of the customer returns-,- inflation, and non-instantaneous deterioration are also discussed. The paper ends with a conclusion and outlook to future studies.
机译:本文针对通货膨胀和客户收益影响下具有销售价格和通货膨胀引起的需求的非即时恶化商品,开发了一种经济订单数量(EOQ)模型。假定客户退货是需求和价格的函数。短缺是允许的,部分积压了。货币时间价值的影响是使用现金流量折现法研究的。主要目标是确定最佳售价,没有库存短缺的最佳时间长度以及最佳补货周期,以使总利润的现值最大化。提出了一种有效的算法来找到所开发模型的最优解。最后,使用所提出的算法提取了一个数值示例来求解所提出的库存模型,并且还讨论了客户退货,通货膨胀和非瞬时恶化的影响。本文最后给出结论和对未来研究的展望。

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