Quality Control and Activity Monitoring in Telecommunication Industry

电信行业的质量控制和活动监控

• 批准号: 0200224
• 负责人: Kwokleung Tsui
• 金额: $ 21.1万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-08-01 至 2006-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0200224&HistoricalAwards=false
• 关键词: Quality; Control; Activity; Monitoring; Telecommunication

Telecommunication industry is a highly competitive industry. Since divestiture and government de-regulations, various telephone services, such as cellular, local and long distance, domestic and commercial, have been the battle fields for telecommunication service providers. To remain competitive, it is important for the companies to establish business planning systems to support management for strategic planning and decision making. Statistical process control (SPC) techniques have been used routinely for on-line process control and monitoring and have resulted in cost-effective returns on investment in manufacturing industry. Our research builds on the powerful SPC and modeling methods to develop efficient statistical techniques for data mining and activity monitoring in telecommunication industry. We identify the limitations of the current SPC methods in telecommunication applications. We develop efficient methods for monitoring large volume of univariate and multivariate data and construct economic models to evaluate and compare various monitoring methods. We also develop design of experiments and churn modeling methods to identify important characteristics responsible for abnormal activities and to predict likelihood that the activities would happen. The major impact of the proposed research is to improve the existing techniques and tools in the business planning system for data mining and knowledge extraction in the telecommunication industry. The enhanced system will allow marketing and sales managers to apply data mining methods routinely, efficiently, and effectively to solve their problems. As a result, our research will help the company reduce cost through efficient fraud detection systems and improve revenue through customer churn prevention, customer retention programs, and new business opportunities based on extracted useful knowledge.

电信业是一个竞争激烈的行业。 自资产剥离和政府放松管制以来，各种电话服务，如蜂窝、本地和长途、国内和商业电话服务，一直是电信服务提供商的战场。 为了保持竞争力，企业必须建立业务规划系统，以支持管理层的战略规划和决策。 统计过程控制（SPC）技术已被常规地用于在线过程控制和监测，并在制造业中产生了成本效益的投资回报。 我们的研究建立在强大的统计过程控制和建模方法，以开发有效的统计技术，数据挖掘和活动监测在电信行业。 我们确定当前SPC方法在电信应用中的局限性。 我们开发了有效的方法来监测大量的单变量和多变量数据，并构建经济模型来评估和比较各种监测方法。 我们还开发了实验设计和客户流失建模方法，以确定负责异常活动的重要特征，并预测活动发生的可能性。建议的研究的主要影响是改善现有的技术和工具，在业务规划系统的数据挖掘和知识提取在电信行业。 增强的系统将允许市场营销和销售经理应用数据挖掘方法，定期，高效，有效地解决他们的问题。 因此，我们的研究将帮助公司通过有效的欺诈检测系统降低成本，并通过客户流失预防，客户保留计划和基于提取的有用知识的新商机来提高收入。