A Novel Customer Selection Method for Customer Collaborative Product Innovation Team

被引：0
|
作者：
Su, Jiafu [1 ]
Huang, Hui [1 ]
Yang, Tao [2 ]
机构：
[1] Chongqing Technol & Business Univ, Chongqing Key Lab Elect Commerce & Supply Chain S, 19 Xuefu Ave, Chongqing, Peoples R China
[2] Chongqing Technol & Business Univ, Sch Management, Chongqing, Peoples R China
来源：
ICBDR 2017: PROCEEDINGS OF 2017 INTERNATIONAL CONFERENCE ON BIG DATA RESEARCH | 2015年
基金：
美国国家科学基金会;
关键词：
CCPI; customer selection; knowledge competence; collaborative performance;
D O I：
10.1145/3152723.3152729
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
To form an effective customer collaborative product innovation (CCPI) team, customer selection is a crucial stage. In this work, a customer selection model for CCPI team is proposed considering comprehensively the individual knowledge competence and collaborative performance. Then, to solve the model, a genetic algorithm (GA) is developed. Finally, a real case is provided to illustrate the application of the model, and the GA is implemented to select the desired customers for CCPI team composition.
引用
收藏
页码：78 / 82
页数：5
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