Replenishment Decision via Stacking Strategy and Newsboy Model
高振宇GAO Zhen-yu
(大连海事大学理学院,大连116026)
( School of Science,Dalian Maritime University , Dalian 116026,China )
摘要:针对市场中供需关系的不确定性会影响商家的补货决策问题,本文提出了基于Stacking 融合预测及报童模型的智能补货决策方法,并将模型应用于某商店，结果显示融合模型的MSE,RMSE,MAE显著低于单个基模型,说明预测模型的精度得到了改进,本文所设计的方法可辅助商家制定营销策略,减少产品滞销或供不应求带来的损失。
Abstract: Aiming at the problem that the supply and demand uncetainty in the market will affect the replenishment decision of themanager, this paper proposes an intelligent replenishment decision method based on the Stacking and newsboy model. Then the model isapplied to a slore. The results show that the fusion model's MSE,RMSE,and MAE are significanly lower than the single base modlel.indlicating that the accuracy of the predliction model is improved. The method designed in this stuly can improve businesses formulatemarketing strategies to minimize the loss caused by unsalable products or oversupply.
关键词:机器学习;报童模型;商业智能;预测
Key words: machine learning; newsboy model; business intelligence; prediction
价值工程-文章出处：高振宇.基于Stacking策略和报童模型的补货决策方法[J].价值工程,2023,42(20):4-6.
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