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Optimization of Electronic Components Inventory Planning and Control Based on Fuzzy Multi-parameters

机译:基于模糊多参数的电子元件库存规划与控制的优化

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In this paper, an electronic components inventory model with fuzzy multi-parameters is considered. Economic order quantity (EOQ) is developed for optimal order quantity with all parameters assumed to be exact or crisp. Actually these parameters are not precise while varying over a range. In such case fuzzy set theory is applied to electronic components inventory planning and control problems. With analysis of parameters which have been described through trapezoidal fuzzy number and computed total cost by graded mean integration representation method which has proved to be appropriate for solving above problem, the optimal order quantity is derived.
机译:本文认为,具有模糊多参数的电子元件库存模型。经济秩序数量(EOQ)是为最佳订单数量而开发的,所有参数都假定为精确或清晰。实际上这些参数在不同的同时不准确。在这种情况下,模糊集理论应用于电子元件库存规划和控制问题。通过分析通过梯形模糊数描述的参数,并通过分级平均集成表示来计算的总成本已经被证明适当地解决上述问题,因此得到了最佳阶数。

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