摘要
家用空调的现场故障率有显著的地理区域差异性。为定量研究运行于中国内地的家用空调现场故障率随地理区域分布的规律,首先从售后服务信息中提取关联功能售后故障数据,得到各省级行政区划单位的多重定时截尾数据;其次利用极大似然估计方法对各省级行政区划单位的多重定时截尾数据进行计算,得到其空调现场故障率估计值;最后以某型家用空调为例,基于其售后故障率数据,得到其在中国内地31个省级行政区划单位的现场故障率以及和总体现场故障率之间的关系,并对现场故障率进行区域聚类分析,定量揭示了该型家用空调的故障类型在中国内地随地理区域分布的规律,可有效指导企业针对性地开展可靠性改进活动和制定更为精准的售后维修策略。
The field failure rate of domestic air conditioners shows significant geographical variability.In order to quantitatively study the pattern of field failure rates of domestic air-conditioners operating in China's Mainland with the distribution of geographical regions.Firstly,the associated functional after-sales failure data were extracted from the after-sales service information to obtain multiple timing truncation data for each provincial administrative unit.Secondly,the multi-timed truncated data for each provincial administrative unit were calculated using the great likelihood estimation method to obtain the estimated field failure rate of their air conditioners.Finally,taking a certain type of home air conditioner as an example,air conditioner field failure rates for 31 provinces in China's Mainland were obtained using after-sales failure data.The relationship between the site failure rate of each province and the overall site failure rate was obtained.And regional clustering analysis of site failure rates,quantitatively reveal the distribution pattern of this type of household air conditioner with geographical regions in China's Mainland.The proposed method can be used to guide companies in targeting reliability improvement activities and developing more precise after-sales maintenance strategies.
作者
张少生
宋卓
刘艳
刘卫东
Zhang Shaosheng;Song Zhuo;Liu Yan;Liu Weidong(GD Midea Air-Conditioning Equipment Co.,Ltd.;School of Advanced Manufacturing,Nanchang University)
出处
《制冷与空调》
2024年第9期1-8,共8页
Refrigeration and Air-Conditioning
基金
国家自然科学基金资助项目“基于售后故障数据的空调可靠性增长模型及其保修期的优化设计研究”(71461020)。
关键词
空调
现场故障率
分布规律
售后故障数据
地理区域聚类
air conditioning
field failure rate
distribution law
service failure data
regional clustering
