Member combination selection for product collaborative design under the open innovation model

被引:6
|
作者
Chen, Chen [1 ]
Zhang, Shusheng [1 ]
Chu, Jianjie [1 ]
Yu, Suihuai [1 ]
Ding, Ning [1 ]
Zhao, Hang [1 ]
Su, Zhaojing [1 ]
Fan, Hao [1 ]
机构
[1] Northwestern Polytech Univ, Key Lab Ind Design & Ergon, Minist Ind & Informat Technol, Xian 710072, Peoples R China
关键词
Open innovation; Product collaborative design; Member combination selection; Synergy effect; Multi-objective optimisation; MANUFACTURING SERVICE COMPOSITION; MULTIOBJECTIVE GENETIC ALGORITHM; PARTNER SELECTION; SUCCESS FACTORS; OPTIMIZATION; MANAGEMENT; PREFERENCE;
D O I
10.1016/j.aei.2022.101860
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A temporary product collaborative design team (PCDT) formed by customers and candidate service providers is the main organization form required to complete the task of product collaborative design (PCD) under the open innovation model. Therefore, the aim of this study was to implement synergy effect-based member combination selection (SE-MCS) while ensuring customer participation in the PCD. First, the conceptual framework of SE-MCS method was developed to characterise the SE-MCS process that includes the customer. Second, SE-MCS indicators were determined by analysing the characteristics of PCD under the open innovation model, and the quantitative calculation methods for these indicators were provided. Subsequently, the mathematical model for SE-MCS considering customer participation was established, and a multi-objective optimisation algorithm was adopted to identify the optimal scheme. Finally, the formation of a design team for a beach waste collection vehicle was performed to verify the proposed method. The results showed that the proposed method is more suitable to implement SE-MCS of PCD under the open innovation model. It can facilitate the smooth operation of PCD tasks and improve the quality and efficiency of teamwork, thereby increasing customer satisfaction.
引用
收藏
页数:13
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