结合预测与线性规划的工业库存调度方法

Akm Selim Reza, S. Suraiya, M. B. Hasan
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摘要

本文针对孟加拉国某商业组织,建立了预测与线性规划相结合的数学模型来计算最优订货量和库存成本。利用行业原材料需求和备用库存的原始数据对模型进行检验,找出最小总库存成本、订货成本和库存持有成本。所建立的模型将预测的原材料和备用库存需求与最小库存总成本相匹配。最后通过对最小成本的比较,发现我们估计的合适的预测方法给出了最优的库存成本。达卡大学学报(自然科学版),68(1):65-70,2020 (1)
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A Procedure for Scheduling Inventory of an Industry by Merging Forecasting and Linear Programming
In this paper, we develop a mathematical model combining forecasting and linear programming for a business organization of Bangladesh to calculate optimum order quantity and inventory cost. We test the model using raw data of the demand for the raw materials and spare inventory for the industry and find out minimum total inventory cost along with ordering cost and inventory holding cost. The developed model make a match between the forecasted demand of raw materials and spare inventory and the minimum total cost of inventory. Finally comparing minimum cost, we observe that our estimated appropriate forecasting method gives optimal inventory cost. Dhaka Univ. J. Sci. 68(1): 65-70, 2020 (January)
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