Technology of planning for complex product configuration design process based on dynamic design structure matrix

被引：0
作者：
Qiu L. [2 ]
Zhang S. [2 ]
Xu C. [2 ]
Zou C. [1 ]
机构：
[1] Mechanical Engineering Department, Zhejiang University
[2] Department of Contemporary Manufacturing Engineering, Zhejiang Institute of Mechanical and Electrical Engineering
来源：
Jixie Gongcheng Xuebao/Journal of Mechanical Engineering | 2010年 / 46卷 / 07期
关键词：
Collaborative configuration design; Data flow diagram; Design structure matrix; Product configuration design process;
D O I：
10.3901/JME.2010.07.136
中图分类号：
学科分类号：
摘要：
To decrease the coupling degree among configuration tasks of complex product, to reduce iteration times during the product configuration design process, to optimize the process of product configuration design, the technology of planning for product configuration design process is studied using dynamic design structure matrix (DSM). The DSM of product configuration design process, which is obtained on the basis of the task modeling of product configuration design process which is established through data flow diagram (DFD), is extended into triple forms. The dynamic DSM of product configuration design process is generated by dual-mapping among the different forms of DSM. So, the customer requirement and the lasted knowledge of product configuration are embodied in the process of product configuration. After that, the process of product configuration design is planned by the decomposition and tearing of DSM. Thus, the recombination of product configuration tasks and the optimization of product configuration process are realized. The method provides a basis for task allocation of cooperative configuration design. An example of project implementation under the architecture is given to illustrate the planning of complex product configuration design process for the technology mentioned. © 2010 Journal of Mechanical Engineering.
引用
收藏
页码：136 / 141+147
相关论文
共 11 条
  • [1] Andreas G., Christian K., Knowledge-based configuration-survey and future directions, Proceedings of 5th Biannual German Conference on Knowledge-Based Systems, pp. 47-66, (1999)
  • [2] Wu J., Chen G., Yin J., Et al., Ontology based product configuration for sharing, Journal of Zhejiang University, 38, 4, pp. 478-483, (2004)
  • [3] Wang S., Tan J., Zhang S., Et al., Case-based product configuration and reuse in mass customization, Chinese Journal of Mechanical Engineering, 17, 2, pp. 233-236, (2004)
  • [4] Zhu Y., Chen X., Zhang L., Et al., Study on generalized product configuration model based on customer-driven, China Mechanical Engineering, 16, 13, pp. 3175-3180, (2005)
  • [5] Stumpter M., Friedrich G.E., Generative constraint-based configuration of large technical system, 12, 4, pp. 301-305, (1998)
  • [6] Wielinga B., Schreiber G., Configuration-design problem solving, IEEE Expert, 12, 2, pp. 49-56, (1997)
  • [7] Xie Q., Tan J., Feng Y., Et al., Granularity of product function-structure unit orient to configuration design, Chinese Journal of Mechanical Engineering, 42, 11, pp. 109-114, (2006)
  • [8] Fujita K., Product variety optimization under modular architecture, Computer-Aided Design, 34, 12, pp. 953-965, (2002)
  • [9] Wang S., Tan J., Zhang S., Et al., Research on product configuration design process management in mass customization, Journal of Computer Aided Design & Computer Graphics, 17, 1, pp. 155-160, (2005)
  • [10] Dobrescu G., Reich Y., Progressive sharing of modules among product variant, Computer-Aided, 35, 9, pp. 791-806, (2003)
12