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首页> 外文期刊>Applied and Computational Mathematics >Multi item inventory model with demand dependent on unit cost and varying lead time under fuzzy unit production cost; a Karush Kuhn Tucker conditions approach
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Multi item inventory model with demand dependent on unit cost and varying lead time under fuzzy unit production cost; a Karush Kuhn Tucker conditions approach

机译:在单位生产成本模糊的情况下,需求取决于单位成本和交货时间变化的多物料库存模型; Karush Kuhn Tucker条件方法

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A multi item inventory model with demand dependent on unit price and leading time with limited storage space and set up cost is considered in this paper. The varying production and leading time crashing costs are considered to be continuous functions of unit price and leading time respectively. The model is solved using Karush Kuhn Tucker conditions approach with optimal order quantity, unit price and leading time as decision variables. In most of the real world situations, the cost parameters, the objective functions and constraints of the decision makers are imprecise in nature. In this paper the unit cost has been imposed in fuzzy environment. An optimal total cost is obtained which is illustrated with numerical example for a single item.
机译:本文考虑了一种多项目库存模型,其需求取决于单价和交货时间,而其存储空间和安装成本却有限。不断变化的生产成本和提前期崩溃成本分别被认为是单价和提前期的连续函数。该模型使用Karush Kuhn Tucker条件方法求解,以最佳订单数量,单价和提前期作为决策变量。在大多数现实世界中,决策者的成本参数,目标功能和约束条件实际上是不精确的。本文在模糊环境下强加了单位成本。获得了最佳的总成本,并用单个项目的数值示例进行了说明。

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