The State Key Laboratory of Mechanical Transmissions，Chongqing University，Chongqing 400044，China; School of Management, Chongqing Jiaotong University，Chongqing 400074，China 在期刊界中查找 在百度中查找 在本站中查找
The degrees that the design agent capacity matches the design task are an important factor affecting the efficiency of collaborative product innovation design. The classification and quantitative calculation of different types of design agent capacity combination is carried out after the characteristic of design agent is analyzed. An efficiency model whose goal is the shortest entire time is constructed based on the definition of task attribute,and then the solving method of efficiency model are designed based on particle swarm optimization algorithm. The collaborative product innovation design of cabin is taken as an example to prove that considering the matching agent attribute with task can shorten the design cycle and improve design efficiency.
