Raw Material Inventory Optimization with Long Leadtime

Nabilah Febriani, Komarudin
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引用次数: 1

Abstract

Inventory management is an essential component in supporting production. Factories must implement inventory control to achieve the desired productivity. Material shortages disturb production, while material excess makes spending soar. To prevent these problems, this study aims to analyze raw material requirements and inventory control management at a factory. This paper compares the classic economic order quantity (EOQ) model and Monte Carlo simulation and optimization considering random elements. The order quantity and the reorder point will be obtained using both methods. The results show that the Monte Carlo simulation produces lower inventory costs.
长交货期的原材料库存优化
库存管理是支持生产的重要组成部分。工厂必须实施库存控制以达到预期的生产效率。物资短缺扰乱生产,而物资过剩又使消费飙升。为了防止这些问题,本研究旨在分析一家工厂的原材料需求和库存控制管理。本文比较了经典经济订货量模型和考虑随机因素的蒙特卡罗模拟与优化。使用这两种方法将获得订单数量和再订购点。结果表明,蒙特卡罗模拟产生较低的库存成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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