Facility location and scale decision problem with customer preference

This paper addresses the facility location problem that aims to optimize the location and scale of a new facility in consideration of customer restrictions, including customer preference and the minimum number of customers required to open the facility. In a classic covering problem, the customer is assumed to be covered if he/she is located within the critical distance zone around the facility and is otherwise not covered. This problem is caused by customer facility selection, which differs from the classic covering problem in which services are determined only by proximity. This paper proposes a mixed integer programming formulation based on customer restrictions and also develops a heuristic solution procedure using Lagrangian relaxation. The suggested solution procedure is shown to yield acceptable results in a reasonable computation time.     

探析印刷行业中的相关企业分类

自宋代我国毕昇发明活字版印刷术至德国人谷登堡创造铅合金活字版印刷术,时至今天数码印刷技术的出现,印刷行业经历了几世纪的演变积累。从报纸、杂志、地图、海报、广告、信封、信笺、商标到名片、请柬、信用卡、钞票、贺卡、台历、挂历、包装纸盒、装饰壁纸等等都是通过印刷技术呈现的。久而久之,不同的需求就产生了不同的印刷客户。     

基于概率模型的个性化算法及其在证券业的应用

传统的信息检索技术满足了人们一定的需要,但由于其通用的性质,仍不能满足客户不同背景、不同目的和不同时期的查询要求.该文提出了一种基于概率模型的个性化信息搜索算法以提高搜索的速度和精度,最大限度地满足了客户的需要.     

Segmentation of telecom customers based on customer value by decision tree model

The more the telecom services marketing paradigm evolves, the more important it becomes to retain high value customers. Traditional customer segmentation methods based on experience or ARPU (Average Revenue per User) consider neither customers’ future revenue nor the cost of servicing customers of different types. Therefore, it is very difficult to effectively identify high-value customers. In this paper, we propose a novel customer segmentation method based on customer lifecycle, which includes five decision models, i.e. current value, historic value, prediction of long-term value, credit and loyalty. Due to the difficulty of quantitative computation of long-term value, credit and loyalty, a decision tree method is used to extract important parameters related to long-term value, credit and loyalty. Then a judgments matrix formulated on the basis of characteristics of data and the experience of business experts is presented. Finally a simple and practical customer value evaluation system is built. This model is applied to telecom operators in a province in China and good accuracy is achieved.     

浅析数据挖掘在CRM中的应用

电子商务加速发展,吸引了众多企业进军电商行业,加剧了企业对客户的竞争。因此,做好客户关系管理就显得非常重要。在简要描述数据挖掘和CRM（客户关系管理）的基础上,重点分析数据挖掘在CRM中的具体应用．包括如何获取新客户和如何提升客户的价值。这对电子商务企业的客户关系管理有参考价值。     

基于呼叫中心的客户关系管理系统服务流程优化研究

针对钢铁企业物流公司客户关系管理现状,及其客户服务请求处理流程中的不足,提出了基于呼叫中心的钢铁企业最优化客服请求处理流程及其技术实现,给出了平台功能设计,探讨了平台实现的关键技术。该系统充分满足客户满意度以及服务请求处理的及时性,快速性,确切性,可操作性等方面要求。     

iPad客户满意度研究

通过对用户对ipad认知、体验等各个方面的研究,了解客户满意度,从品牌影响力、购买倾向、购买渠道、用户体验和受访者特征5个维度进行分析,从而改善用户满意度及销售计划。     

基于CTI技术实现小型呼叫中心

CTI技术已成为建设第三代客户服务中心的核心技术。本文介绍了一种小型客服中心新的构建方案,并设计了相应的软硬件结构,并和其它模型相比较探讨其经济性和实用性。     

基于聚类算法的零售业CRM数据挖掘的应用

把数据挖掘中K-中心点聚类算法应用于基于客户价值矩阵的客户价值细分中,建立一种零售业客户细分方法,为零售超市客户保持和营销提供决策依据,并用样本进行实验,得出结论.     

基于支持向量机的移动电话顾客满意度评价系统

移动电话顾客满意度的评价对于移动电话生产商和经销商的经营管理有着重要的意义.利用支持向量机的全局收敛性和良好的推广能力,提出了一种新的基于支持向量机的移动电话顾客满意度评价系统.归纳了移动电话顾客满意度评价指标的设计原则,给出了具体的评价指标体系,采用支持向量机的1-v-1分类策略建立了顾客满意度的评价模型.仿真结果表明,基于支持向量机的顾客满意度评价模型能够有效地实现顾客满意度的评估.该模型的建立为移动电话供应商提供了一个有力的顾客满意度评价工具.