多目标模糊概率库存模型在沙拉克水果库存系统中的应用

Novi Rustiana Dewi, Eka Susanti, Des Alwine Zayanti, Indrawati Indrawati, Oki Dwipurwani, Siti Natasya Munawaroh
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引用次数: 0

摘要

库存控制在生产和贸易活动中非常重要。库存控制的目的是保持产品的可用性。在某些情况下,所提供的产品必须从城市以外的分销商处订购,从下单到收到产品需要等待一段时间。多目标概率模糊库存模型可应用于提前期参数不确定的库存优化问题。在本研究中,该模型被应用于一家分销商的沙拉水果供应问题。第一个目标函数是使持有成本最小化,第二个目标函数是使变质成本最小化。使用加权法将库存模型转化为单一目标形式。根据计算结果,订货周期为 3 天,最佳库存总量为 430.1086 公斤。持有成本和变质成本分别为 2,075,866 印尼盾和 571,034 印尼盾。目标函数权重值的变化导致总成本值的变化。第一个目标函数的权重越大,总成本就越小。
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PENERAPAN MODEL INVENTORI PROBABILISTIK FUZZY MULTIOBJEKTIF PADA SISTEM PERSEDIAAN BUAH SALAK
Inventory control is very important in production and trading activities. The purpose of inventory control is to maintain product availability. In certain cases, the products provided must be ordered from distributors outside the city and require waiting time from the time the order is placed until the product is received. The Multiobjective Probabilistic Fuzzy Inventory model can be applied to inventory optimization problems with the uncertainty of the leadtime parameter. In this study, the model was applied to the problem of supply salak fruit at one of the distributors. The first objective function is to minimize holding costs and the second is to minimize deterioration costs. The inventory model is transformed into a single objective form using a weighted method. Based on the results, the order cycle time is 3 days with the optimal total inventory of 430.1086 kg. The holding cost and deterioration costs are IDR 2,075,866 and IDR 571,034, respectively. Changes in the weight value of the objective function result in changes in the total cost value. The greater the weight for the first objective function, the smaller the total cost.
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