缺陷汽车产品召回管理预警体系研究  

Study on Early Warning System of Defective Automobile Product Recall

作　　者：郝丽[1] 李晓霞[1] 

机构地区：[1]长安大学汽车学院,陕西西安710064

出　　处：《物流科技》2017年第4期85-90,共6页Logistics Sci-Tech

摘　　要：以缺陷汽车产品召回管理为研究对象,采用FAM-TOPSIS法,确定缺陷产品召回管理的主要影响因素和指标与正负理想点的相对贴近度,显示预警状态和决策措施。得出结论如下:(1)召回管理预警评价的影响因素主要为材料因素、产品对消费者的危害程度影响、抽检合格率、结构因素、警示性因素、消费者对产品的满意度因素、现存行业标准因素、产品返修率因素和销售量;(2)对筛选过的指标体系进行灰色预测理想点逼近法(TOPSIS)计算,得出正负理想点逼近的灰色关联度和预警状态。通过实例验证,所建模型能避免或缓解损失、完善召回管理体系,同时提高企业的竞争力和经济效益。By using the FAM-TOPSIS method, the main influencing factors of defective product recalls management and the relative degree of closeness of the index and positive and negative ideal points are determined, which displays the alert status and decision actions. The main conclusions are as follows： （1） The main influential factors of recall early warning evaluation are material factors, product harm to consumers, sampling rate, structural factors, warning factors, consumers＂ satisfaction factors, industry standard factors, product repair rate factors and sales volume; （2） Through the relative degree of close to the target sort. to determine the status of early warning and provide the basis for recall decisions. Through the example, the model can avoid or alleviate the huge loss to the enterprise, make the enterprise recall warning management more perfect, at the same time, improve the competitiveness and economic efficiency.

关 键 词：缺陷汽车产品 召回管理 预警系统 因子分析法 TOPSIS 

分 类 号：F274[经济管理—企业管理]