TY - JOUR
T1 - Member combination selection for product collaborative design under the open innovation model
AU - Chen, Chen
AU - Zhang, Shusheng
AU - Chu, Jianjie
AU - Yu, Suihuai
AU - Ding, Ning
AU - Zhao, Hang
AU - Su, Zhaojing
AU - Fan, Hao
N1 - Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2023/1
Y1 - 2023/1
N2 - 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.
AB - 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.
KW - Member combination selection
KW - Multi-objective optimisation
KW - Open innovation
KW - Product collaborative design
KW - Synergy effect
UR - http://www.scopus.com/inward/record.url?scp=85144827735&partnerID=8YFLogxK
U2 - 10.1016/j.aei.2022.101860
DO - 10.1016/j.aei.2022.101860
M3 - 文章
AN - SCOPUS:85144827735
SN - 1474-0346
VL - 55
JO - Advanced Engineering Informatics
JF - Advanced Engineering Informatics
M1 - 101860
ER -