兔师傅汽车保养连锁店库存分类管理与需求预测研究  被引量:1

Study on Inventory Classification Management and Demand Forecasting of the Master Too Motor Vehicle Maintenance Chain Store

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作  者:任林洁 黄冠衡 REN Linjie;HUANG Guanheng(School of Logistics and E-commerce,Henan University of Animal Husbandry and Economy,Henan Zhengzhou 450045)

机构地区:[1]河南牧业经济学院物流与电商学院,河南郑州450045

出  处:《汽车实用技术》2021年第23期178-180,184,共4页Automobile Applied Technology

基  金:河南牧业经济学院科研反哺教学专项课题(编号2021030T)。

摘  要:高水平的配件库存管理是汽车维保企业保持竞争力的重要手段。文章选取兔师傅汽车保养连锁店进行研究,发现门店的库存管理在盘点、成本和采购方面存在问题。采用ABC分类法对该门店的汽车配件进行分类,提出了相应的管理方法。根据门店配件实际使用情况,采取指数平滑法对A类典型汽车配件的库存进行需求预测分析。预测结果比传统的经验预测更合理,经过测算可以降低部分库存成本,增强企业竞争力。High-level auto spare parts inventory management was an important means to maintain competitiveness for auto maintenance companies.This paper has studied the Master Too motor vehicle maintenance chain store,and founded that there were problems with store inventory management in stock-taking,cost and procurement.The ABC classification method was used to classify auto spare parts in the store,and the corresponding management methods were put forward.According to the actual usage of auto spare parts in stores,the exponential smoothing method was used to forecast the inventory demands for the typical auto spare par of class A.The results were more reasonable than the traditional experience forecast method,the part of inventory costs could be reduced after calculations,and this corporate competitiveness would be enhanced.

关 键 词:汽车配件 库存管理 ABC分类法 需求预测 指数平滑法 

分 类 号:F237.1[经济管理—会计学]

 

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