兽药行业简单平滑预测模型及DDMRP库存模型的建立

Hana Marita Iki, D. Ishak
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引用次数: 0

摘要

由于兽医学的趋势和季节难以确定,因此业内常用的预测方法仍然具有较低的准确性。由于预测精度低,库存数量会很高,然后很可能会有更长的交货期。为了提高预测精度,笔者旨在寻找适合兽医行业的预测模型来提高预测精度和适合的库存模型来减少库存数量。本研究采用简单指数平滑模型作为预测模型,DDMRP(需求驱动物料需求计划)作为库存模型。由于兽医学的趋势和季节仍然未知,作者使用简单指数平滑。由于安全库存可以根据市场对药品的需求进行调整,笔者采用DDMRP作为库存模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of Forecasting Model with Simple Smoothing and Inventory Model with DDMRP in Veterinary Medicine Industry
It is hard to determine the trend and the season for Veterinary Medicine, so the usual type of Forecasting Method that the industry used still has low accuracy. Because of the low forecasting accuracy, the inventory number will be high, and then there is a high chance of a longer lead time. To improve forecasting accuracy, the author aimed to find the suitable model for increasing the forecasting accuracy used in Veterinary Industry and the suitable inventory model to decrease the inventory number. The study uses Simple Exponential Smoothing as a forecasting model and DDMRP (Demand Driven Material Requirement Planning) as the Inventory model. The author uses Simple Exponential Smoothing because the trend and seasons in Veterinary Medicine are still unknown. The author uses DDMRP as the Inventory Model because the safety stock can be adjusted according to the market's medicine demand.
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