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Fuzzy order quantity inventory model with fuzzy shortage quantity and fuzzy promotional index

机译:带有模糊短缺数量和模糊促销指标的模糊订单数量库存模型

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摘要

The article deals with a backorder EOQ (Economic Order Quantity) model with promotional index for fuzzy decision variables. Here, a profit function is developed where the function itself is the function of m-th power of promotional index (PI) and the order quantity, shortage quantity and the PI are the decision variables. The demand rate is operationally related to PI variables and the model has been split into two types for the multiplication and addition operation. First the crisp profit function is optimized, letting it free from fuzzy decision variable. Yager (1981) ranking index method is utilized here to have a best inventory policy for the fuzzy model. Finally, a graphical presentation of numerical illustrations and sensitivity analysis are done to justify the general model.
机译:本文讨论了带有模糊决策变量促销指标的延期交货EOQ(经济订单数量)模型。在这里,开发了一个利润函数,其中函数本身是促销指数(PI)的m次方函数,而订单数量,短缺数量和PI是决策变量。需求率在操作上与PI变量相关,并且该模型已被分为两种类型用于乘法和加法运算。首先,优化明快利润函数,使其不受模糊决策变量的影响。这里使用Yager(1981)的排名指数方法来为模糊模型提供最佳的库存策略。最后,通过数字图示和灵敏度分析的图形表示来证明通用模型的合理性。

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