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首页> 外文期刊>Journal of King Saud University >Multi-product, multi-venders inventory models with different cases of the rational function under linear and non-linear constraints via geometric programming approach
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Multi-product, multi-venders inventory models with different cases of the rational function under linear and non-linear constraints via geometric programming approach

机译：通过几何规划方法在线性和非线性约束下具有不同情况下的有理函数的多产品，多供应商库存模型

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This research deal the probabilistic multi-product multi-vendor inventory model include varying order cost and zero lead-time under linear and non-linear constraints for the number of periodsNrs, the first linear constraint on the expected holding cost, the second nonlinear constraint on the buffer stock and the third linear constraint on the storage space. The goal is to limit the expected holding cost by an upper limitk1, the limit for the buffer stock by an upper limitk2and the limit for the storage space by an upper limitk3. The searchers’ aim is to determine the minimum expected total cost, the optimal number of periodNrs?and the optimal maximum inventory levelQmrs?by using a geometric programming approach. Then, applying the results of the models by a numerical example and graphs. Also, two special cases are deduced.
机译：这项研究涉及概率多产品多供应商库存模型，该模型包括在周期数为Nrs的线性和非线性约束下，变化的订单成本和零提前期，第一线性约束为预期持有成本，第二非线性约束为缓冲库存和存储空间上的第三个线性约束。目的是将期望的持有成本限制为上限k1，将缓冲库存限制为上限k2和将存储空间限制为上限k3。搜索者的目的是通过使用几何编程方法来确定最小的预期总成本，最佳的期数Nrs和最佳的最大库存水平Qmrs。然后，通过数值示例和图形应用模型的结果。此外，推导了两种特殊情况。

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