A Dynamic Information Sending Model and the Optimization Algorithm for Customer Relationship Management
A dynamic discount information sending problem and its bi-level programming model for customer relationship management were presented in this paper. The intelligent algorithms were proposed to optimize the model. The simulated annealing algorithm (SA) was applied to optimize the brand information sending policy in up-level. The customers purchase behaviors were simulated by cellular automata (CA). The SA used three neighborhoods to expand the search region on the basis of binary-coding. The state of cellular was affected by the neighbor state, the frequency of purchase, the interval of purchase and the message sending policy of the cellular. An experiment was used to testify the validity of the algorithms to the bi-level optimization model for customer relationship management, and some significative conclusions were gotten in this example.
customer relationship management simulated annealing algorithm cellular automata
Xuelian Wang Shiquan Zhong
School of management Hebei University of Technology Tianjin, China School of management Tianjin University Tianjin, China
国际会议
北京
英文
102-105
2009-07-24(万方平台首次上网日期,不代表论文的发表时间)