Construction of a product design model based on multi-scenario FBS-QFD

被引:1
|
作者
Yang Xinyan [1 ,2 ,3 ]
Zhang Jijuan [1 ,2 ,3 ]
Wang Yufan [1 ,2 ,3 ]
Zhang Zhongfeng [1 ,2 ,3 ]
机构
[1] Cent South Univ Forestry Sci & Technol, Coll Furniture & Art Design, Changsha 410004, Hunan, Peoples R China
[2] Natl Forestry & Grassland Adm, Green Furniture Engn Technol Res Ctr, Changsha 410004, Hunan, Peoples R China
[3] Hunan Green Home Engn Technol Res Ctr, Changsha 410004, Hunan, Peoples R China
关键词
Product design; user requirements; FBS; QFD; multiple scenarios;
D O I
10.1117/12.2639054
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
This paper proposes a multi-situational FBS and Quality Function Deployment (QFD) integrated product design requirements model for more accurate product positioning, longer product life and improved product design rationality.A multi-situational FBS-QFD model is constructed to design products by analysing the relationship between the needs of realistic and ambiguous user groups and product functionality.Specific steps: clarify the design objectives, analyse the scenario-structure units of the design objectives, and analyse the mapping relationship between scenario-function-behaviour-structure after building the FBS model.Predicting scenario feasibility, identifying user requirements and translating them into design features.Determine design feature scores and their positive and negative correlations, construct a matrix of user requirements and design feature relationships, derive key design innovation areas and functions, and complete product design solutions.The validation of the model is carried out using rehabilitation products as an example The study shows that the model is scientific and can improve the quality of product design.Provides a theoretical basis and practical strategies for product design decisions
引用
收藏
页数:8
相关论文
共 50 条
  • [41] A Learning-Based Approach for Multi-scenario Trajectory Similarity Search
    Feng, Chunhui
    Pan, Zhicheng
    Fang, Junhua
    Chao, Pingfu
    Liu, An
    Zhao, Lei
    WEB INFORMATION SYSTEMS ENGINEERING - WISE 2022, 2022, 13724 : 478 - 492
  • [42] A new reactive power planning based on system multi-scenario operations
    Wang, ShiHong
    Zhang, Hong
    He, Rui
    Xiao, QingMing
    Chen, Jian
    Xu, MingChang
    2011 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN ENERGY ENGINEERING (ICAEE), 2012, 14 : 782 - 787
  • [43] Robust Multi-Scenario Speech-Based Emotion Recognition System
    Fangfang Zhu-Zhou
    Gil-Pita, Roberto
    Garcia-Gomez, Joaquin
    Rosa-Zurera, Manuel
    SENSORS, 2022, 22 (06)
  • [44] Integration of Kano's model into QFD for multiple product design
    Sireli, Yesim
    Kauffmann, Paul
    Ozan, Erol
    IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, 2007, 54 (02) : 380 - 390
  • [45] Model-based definition design in the product lifecycle management scenario
    M. Alemanni
    F. Destefanis
    E. Vezzetti
    The International Journal of Advanced Manufacturing Technology, 2011, 52 : 1 - 14
  • [46] On innovative product design using KANO model in modularized QFD
    Raharjo, Hendry
    Xie, Min
    Brombacher, Aarnout C.
    ISMOT'07: Proceedings of the Fifth International Symposium on Management of Technology, Vols 1 and 2: MANAGING TOTAL INNOVATION AND OPEN INNOVATION IN THE 21ST CENTURY, 2007, : 490 - 494
  • [47] Model-based definition design in the product lifecycle management scenario
    Alemanni, M.
    Destefanis, F.
    Vezzetti, E.
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2011, 52 (1-4): : 1 - 14
  • [48] Smart antennas for OFDM-WLANs based on a spatial-temporal multi-scenario channel model
    Alihemmati, R.
    Dadashzadeh, G.
    Shishegar, A.A.
    Hojjat, N.
    Iranian Journal of Electrical and Computer Engineering, 2008, 7 (02): : 107 - 114
  • [49] Multi-scenario long-term degradation prediction of PEMFC based on generative inference informer model
    Tian, Lei
    Gao, Yan
    Yang, Haiyu
    Wang, Renkang
    Applied Energy, 2025, 377
  • [50] Multi-scenario simulation on the impact of China's electricity bidding policy based on complex networks model
    Wang, Di
    Zhang, Zhiyuan
    Yang, Xiaodi
    Zhang, Yanfang
    Li, Yuman
    Zhao, Yueying
    ENERGY POLICY, 2021, 158