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Effect of deteriorating items and promotional effort factor in fuzzy instantaneous replenishment model

机译:变质物品和促销因子在模糊瞬时补货模型中的作用

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This paper presents a stylized model for analyzing the effect of deteriorating items and the promotional effort in a fuzzy optimal instantaneous replenishment model for a finite planning horizon. Accounting for holding costs and ordering costs have traditionally been the case when modelling inventory systems in a fuzzy environment. These imprecise parameters, which are denned on a bounded interval on the axis of real numbers and the physical characteristics of stocked items, dictate the management and control of inventory policies . This paper postulates on some of these costs, the promotional effort cost. Thus a modified fuzzy EOQ (FEOQ) model with a promotional effort factor is introduced. It assumes that a percentage of the on-hand inventory is wasted due to deterioration and it is considered as an enhancement to the EOQ model to determine the optimal promotional effort and the replenishment quantity so that the net profit is maximized. Through the theoretical analysis, the necessary and sufficient conditions for the existence and uniqueness of the optimal solutions are proved and the concavity of the fuzzy net profit function is established. A computational algorithm using the LINGO 13.0 software is developed to find the optimal solution. The results of the numerical analysis enable decision-makers to quantify the effect of promotion policy on optimizing net profit for the retailer and reduce inventory wastage due to deterioration . Finally, a sensitivity analysis of the optimal solution with respect to the major parameter is also conducted. In terms of profit maximization, fuzzy decision making is shown to be superior to crisp decision making without the promotional effort.
机译:本文提出了一种程式化模型,用于在有限计划范围内的模糊最优瞬时补货模型中分析变质物品的影响和促销力度。传统上,在模糊环境中对库存系统进行建模时,通常要考虑到持有成本和订购成本。这些不精确的参数(以实数为轴的有界间隔和库存物品的物理特性来定义)决定了库存策略的管理和控制。本文假设其中一些成本是促销工作成本。因此,引入了具有促销努力因子的改进的模糊EOQ(FEOQ)模型。假定一部分现有存货由于变质而浪费掉,并且被认为是对EOQ模型的增强,可以确定最佳促销力度和补货数量,从而使净利润最大化。通过理论分析,证明了最优解的存在和唯一性的充要条件,并建立了模糊净利润函数的凹性。开发了使用LINGO 13.0软件的计算算法,以找到最佳解决方案。数值分析的结果使决策者能够量化促销政策对零售商优化净利润的影响,并减少由于变质而造成的库存浪费。最后,还针对主要参数对最优解进行了敏感性分析。在利润最大化方面,显示出模糊决策优于没有促销努力的清晰决策。

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