Multi-objective creative design evaluation method for industrial design cloud service platform

被引:0
|
作者
Fan J. [1 ]
Yu S. [1 ]
Chu J. [1 ]
Li X. [1 ]
Chen J. [1 ]
Cheng F. [1 ]
机构
[1] Shaanxi Engineering Laboratory for Industrial Design, Northwestern Polytechnical University, Xi'an
关键词
Cloud service platform; Industrial design; Multi-objective design evaluation; Three-layer quantitative model; Yacht design;
D O I
10.13196/j.cims.2019.01.017
中图分类号
学科分类号
摘要
To improve the application of cloud service platform and solve the problem of low efficiency in the existing multi-objective design evaluation method, a multi-objective creative design evaluation method for industrial design cloud service platform was proposed. Based on the existing multi-objective evaluation method and cloud service platform, the importance of design objectives in the process of networked collaborative design was quantified accurately. The conflict elimination mechanism and the fuzzy evaluation mechanism were introduced in this method, and a set of multi-objective creative design evaluation process model was established. The evaluation target system of multi-objective creative design was built, and the creative design plan was further created for the industrial design cloud service platform. The three-layer quantitative model of scheme parameters optimization based on the quality function configuration was constructed. In the case of conflict, the multi-objective particle swarm optimization algorithm of decision preference was used to resolve the conflict. By taking the yacht evaluation of cloud service platform as an example, the feasibility and effectiveness of the method were verified by comparing with other methods. © 2019, Editorial Department of CIMS. All right reserved.
引用
收藏
页码:173 / 181
页数:8
相关论文
共 21 条
  • [1] Chu J., Li X., Yu S., Key technologies of cloud service platform oriented to the whole chain of industrial design, Journal of Machine Design, 33, 11, pp. 125-128, (2016)
  • [2] Ferrer A.J., Hernandez F., Tordsson J., Et al., OPTIMIS: a holistic approach to cloud service provisioning, Future Generation Computer Systems, 28, 1, pp. 66-77, (2012)
  • [3] Wang S., Liu Z., Sun Q., Et al., Towards an accurate evaluation of quality of cloud service in service-oriented cloud computing, Journal of Intelligent Manufacturing, 25, 2, pp. 283-291, (2014)
  • [4] Yamato Y., Shigematsu N., Miura N., Evaluation of agile software develeopment method for carrier cloud service platform development, IEICE Transactions on Information and Systems, 97, 11, pp. 2959-2962, (2014)
  • [5] Yoon C., Hassan M.M., Lee H., Et al., Dynamic collaborative cloud service platform: opportunities and challenges, ETRI Journal, 32, 4, pp. 634-637, (2010)
  • [6] Hassan M.M., Song B., Han S.M., Et al., Multi-objective optimization model for partner selection in a market-oriented dynamic collaborative cloud service platform, Proceedings of the 21st International Conference on Tools with Artificial Intelligence, pp. 637-644, (2009)
  • [7] Liu J., Yu S., Chu J., Et al., Research on member optimal selection of network team, Computer Integrated Manufacturing Systems, 23, 3, pp. 1205-1215, (2017)
  • [8] Sun J., Yu S., Chen D., Et al., Method for product design knowledge flow collaboration on cloud manufacturing, Modern Manufacturing Engineering, 7, pp. 13-20, (2015)
  • [9] Chen J., Mo R., Chu J., Et al., Modular restructuring and distribution method of collaborative task in industrial design cloud platform, Computer Integrated Manufacturing Systems, 23, 9, pp. 720-730, (2017)
  • [10] Tiwari V., Jain P.K., Tandon P., Product design concept evaluation using rough sets and VIKOR method, Advanced Engineering Informatics, 30, 1, pp. 16-25, (2016)