基于负面清单管理模式的电力客户服务评价方法.docx

文档介绍：基于负面清单管理模式的电力客户服务评价方法*
刘志欣1,黄旭1,魏加项1,于亮1,叶晶晶2
(1. 国网北京市电力公司,北京 100031; 2. 北京交通大学电气工程学院,北京 100044)
摘要:客户满意度反映客户期望值与客户体验的匹配程度,是评价客户服务质量的一个重要指标。本文构建了以RATER指数为核心的多层评价体系,提出了一种基于负面清单管理的客户满意度综合评价方法。RATER中五个指标的权重在主观赋权法确定初值的基础上,改进蚁群算法实现指标权重的自适应调整。该评价方法排除大量无效工单,极大地减少计算量,缩短了计算时间,非常适用于大数据分析系统。实例计算验证了提出的方法在电力服务满意度评价方面的实用性、有效性和对负面评价的敏感性。
关键词:满意度评价;RATER指数;负面清单管理;主观赋权法;蚁群算法
中图分类号:TM732 文献标志码:A 文章编号:1001-1390(2018)17-0000-00
Custom service evaluation method based on negative-list management for electric pany
Liu Zhixin1, Huang Xu1, Wei Jiaxiang1, Yu Liang1, Ye Jingjing2
(1. State Grid Beijing Electric pany, Beijing 100031,China.
2. School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China)
Abstract: Customer satisfaction which reflects the matching degree between customer expectation and experience, is an important index to evaluate the quality of customer service. This paper constructs a multilayer evaluation system with RATER index as core, and proposes prehensive evaluation method of customer satisfaction based on negative list management. Initial values of the weights of five indexes in RATER are determined by the subjective weighting method, and then, are adjusted by improved ant colony algorithm. Because a large number of invalid worksheets are removed, thus putation amount putation time is are dratically reduced. The method is very suitable for big