计算机集成制造系统 ›› 2023, Vol. 29 ›› Issue (10): 3450-3461.DOI: 10.13196/j.cims.2023.10.020

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面向设计众包的产品概念方案评价与选择

彭张林1,2,杜一甫1,2,程啸先1,2,唐孝安1,2,张强1,2   

  1. 1.合肥工业大学管理学院
    2.过程优化与智能决策教育部重点实验室
  • 出版日期:2023-10-31 发布日期:2023-11-09
  • 基金资助:
    教育部人文社会科学研究基金资助项目(16YJC630093);国家自然科学基金资助项目(72071060,71601066,71901086)。

Product concept schemes evaluation and selection in crowdsourcing environment

PENG Zhanglin1,2,DU Yifu1,2,CHENG Xiaoxian1,2,TANG Xiaoan1,2,ZHANG Qiang1,2   

  1. 1.School of Management,Hefei University of Technology
    2.Key Laboratory of Process Optimization and Intelligent Decision-making,Ministry of Education
  • Online:2023-10-31 Published:2023-11-09
  • Supported by:
    Project supported by the Humanities and Social Science Foundation of Ministry of Education,China (No.16YJC630093),and the National Natural Science Foundation,China (No.72071060,71601066,71901086).

摘要: 针对设计众包模式下产品概念方案评价所面临的方案数量繁多、评价指标体系合理性差、指标权重可解释性不强以及确定性和不确定性信息难以融合等问题,提出一种面向设计众包的产品概念方案评价方法,并给出基于特征识别和专家判断的方案初步筛选、基于$APPEALS模型的评价指标选取、基于DEMATEL法的指标权重初始确定、基于KANO模型的指标权重调整和基于证据推理的评价信息综合集成等关键流程和实现步骤。与其他方法相比,所提方法更好地考虑了产品成功的关键因素、评价指标间的相互影响、用户在方案选择中的话语权以及确定性与不确定性信息的融合集成。最后结合Design Boom众包平台上的众包案例对所构建评价模型进行分析,验证了该模型的可靠性和有效性。

关键词: 设计众包, 产品设计, 概念方案, 综合评价, 证据推理

Abstract: To solve the problems faced by the evaluation of product concept schemes in the design crowdsourcing model,such as the large number of schemes,poor rationality of evaluation index system,weak interpretability of index weight,and difficulties in integrating certain and uncertain information,a new product concept evaluation method for design crowdsourcing was proposed.The key process and implementation steps of the method were explained,including preliminary screening of schemes based on feature recognition and expert judgment,selection of evaluation index based on the $APPEALS model,initial determination of index weights based on DEMATEL method,adjustment of index weights based on KANO model and comprehensive integration of evaluation information based on evidence reasoning.Compared with other methods,the key factors of product success,the mutual influence between evaluation indexes,the user's voice in schemes selection and the integration of certain and uncertain information were better considered.The proposed evaluation model was analyzed by combining with the crowdsourcing case on the Design Boom crowdsourcing platform,and the reliability and validity were verified.

Key words: design crowdsourcing, product design, concept schemes, comprehensive evaluation, evidence reasoning

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