Collaborative Research: A Hierarchical Multidimensional Network-based Approach for Multi-Competitor Product Design

协作研究:基于分层多维网络的多竞争对手产品设计方法

基本信息

  • 批准号:
    2005665
  • 负责人:
  • 金额:
    $ 15.44万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2020
  • 资助国家:
    美国
  • 起止时间:
    2020-06-01 至 2023-05-31
  • 项目状态:
    已结题

项目摘要

The objective of this research is to investigate what product customers consider and what they eventually purchase using a hierarchical, multidimensional network-based design approach. Motivated by the need to model socio-technical interactions in engineering design, this research combines design theory with network science to explore three interrelated topics: 1) two-stage multidimensional network models for customer preference modeling that consider product associations and social influence; 2) dynamic network models for predicting the impact of multi-competitor strategic decisions, and 3) knowledge transfer to demonstrate generalizability and creation of shared data resources to benefit research community. This project will advance design theories of complex systems and develop quantitative methods for modeling socio-technical interactions in engineering design. Integrated with enterprise-driven design, the methods developed will enhance US industry’s competitiveness within changing markets. The test cases include a primary case study on the design of electric vehicles and small SUVs and a secondary case study on the design of household products. The project will also foster student training in data science, network science and Artificial Intelligence, with particular emphasis on the participation of underrepresented groups, females, and undergraduates.The intellectual merit of this research is manifested in four aspects. First, the hierarchical network model studies customers’ consideration and choice as distinct, but integrated, behaviors. It identifies distinctive driving factors underlying the consideration and choice stages. Second, this research overcomes the practical challenges of missing data on customers' social networks. The solution relies on an innovative approach to assess how individuals’ preferences are influenced by their own egocentric social contacts through a synergistic integration of autologistic actor attribute model (ALAAM) with the Multidimensional Customer-Product Network (MCPN) framework. Third, using temporal Exponential Random Graph Model (t-ERGM), the dynamic network modeling approach will allow the prediction of future market competition considering the present competition structure and multi-competitor design decisions. Finally, a crowdsourcing-based data collection platform integrating online product data and reviews will be developed for eliciting customer preferences in multi-stage decision making.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
本研究的目标是使用基于网络的分层多维设计方法来调查客户考虑的产品以及他们最终购买的产品。基于对工程设计中的社会技术互动进行建模的需要,本研究将设计理论与网络科学相结合,探索了三个相互关联的主题:1)考虑产品关联和社会影响的两阶段多维网络模型;2)预测多竞争者战略决策影响的动态网络模型;3)知识转移,展示泛化能力和共享数据资源的创建,以造福于研究社区。这个项目将推进复杂系统的设计理论,并开发用于在工程设计中模拟社会技术交互作用的定量方法。与企业驱动的设计相结合,开发的方法将增强美国工业在不断变化的市场中的竞争力。测试案例包括电动汽车和小型SUV设计的主要案例研究,以及家用产品设计的次要案例研究。该项目还将培养学生在数据科学、网络科学和人工智能方面的培训,特别强调代表不足的群体、女性和本科生的参与。这项研究的智力价值体现在四个方面。首先,分层网络模型将客户的考虑和选择作为不同的、但集成的行为进行研究。它确定了考虑和选择阶段背后的独特驱动因素。其次,这项研究克服了在客户的社交网络上丢失数据的实际挑战。该解决方案依赖于一种创新的方法来评估个人的偏好如何受到他们自己的以自我为中心的社交联系的影响,方法是通过自动行为者属性模型(ALAAM)与多维客户-产品网络(MCPN)框架的协同集成来评估个人的偏好如何受到他们自己的自我中心社交关系的影响。第三,利用时间指数随机图模型(t-ERGM),动态网络建模方法将考虑到当前的竞争结构和多个竞争者的设计决策来预测未来的市场竞争。最后,将开发一个基于众包的数据收集平台,集成在线产品数据和评论,以获取客户在多阶段决策中的偏好。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Modeling Multi-Year Customers’ Considerations and Choices in China’s Auto Market Using Two-Stage Bipartite Network Analysis
使用两阶段双向网络分析对中国汽车市场的多年客户考虑因素和选择进行建模
  • DOI:
    10.1007/s11067-021-09526-9
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    2.4
  • 作者:
    Bi, Youyi;Qiu, Yunjian;Sha, Zhenghui;Wang, Mingxian;Fu, Yan;Contractor, Noshir;Chen, Wei
  • 通讯作者:
    Chen, Wei
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Zhenghui Sha其他文献

Print As a Dance Duet: Communication Strategies for Collision-Free Arm-Arm Coordination in Cooperative 3D Printing
打印如舞蹈二重奏:协作 3D 打印中无碰撞手臂协调的通信策略
  • DOI:
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Ronnie F. P. Stone;Wenchao Zhou;E. Akleman;Vinayak R. Krishnamurthy;Zhenghui Sha
  • 通讯作者:
    Zhenghui Sha
Multi-Robot Path Planning for Cooperative 3D Printing
协作 3D 打印的多机器人路径规划
  • DOI:
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Saivipulteja Elagandula;Laxmi Poudel;Zhenghui Sha;Wenchao Zhou
  • 通讯作者:
    Wenchao Zhou
Predicting product co-consideration and market competitions for technology-driven product design: a network-based approach
预测技术驱动的产品设计的产品共同考虑和市场竞争:基于网络的方法
  • DOI:
    10.1017/dsj.2018.4
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    2.4
  • 作者:
    Mingxian Wang;Zhenghui Sha;Yun Huang;N. Contractor;Yan Fu;Wei Chen
  • 通讯作者:
    Wei Chen
Modeling product co-consideration relations: A comparative study of two network models
产品共考虑关系建模:两种网络模型的比较研究
  • DOI:
  • 发表时间:
    2017
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Zhenghui Sha;Mingxian Wang;Yun Huang;N. Contractor;Yan Fu;Wei Chen
  • 通讯作者:
    Wei Chen
The Second Decade of the Materials Genome Initiative
材料基因组计划的第二个十年
  • DOI:
    10.1007/s11837-021-05008-y
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    2.6
  • 作者:
    Xingang Li;Charles Xie;Zhenghui Sha
  • 通讯作者:
    Zhenghui Sha

Zhenghui Sha的其他文献

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{{ truncateString('Zhenghui Sha', 18)}}的其他基金

Collaborative Research: Design Decisions under Competition at the Edge of Bounded Rationality: Quantification, Models, and Experiments
协作研究:有限理性边缘竞争下的设计决策:量化、模型和实验
  • 批准号:
    2321463
  • 财政年份:
    2023
  • 资助金额:
    $ 15.44万
  • 项目类别:
    Standard Grant
Educating Generative Designers in Engineering
教育工程领域的生成设计师
  • 批准号:
    2207408
  • 财政年份:
    2022
  • 资助金额:
    $ 15.44万
  • 项目类别:
    Standard Grant
Collaborative Research: A Hierarchical Multidimensional Network-based Approach for Multi-Competitor Product Design
协作研究:基于分层多维网络的多竞争对手产品设计方法
  • 批准号:
    2203080
  • 财政年份:
    2021
  • 资助金额:
    $ 15.44万
  • 项目类别:
    Standard Grant
Educating Generative Designers in Engineering
教育工程领域的生成设计师
  • 批准号:
    1918847
  • 财政年份:
    2019
  • 资助金额:
    $ 15.44万
  • 项目类别:
    Standard Grant
EAGER: A Fine-Grained Data-Driven Approach to Studying Sequential Decision-Making in Engineering Systems Design
EAGER:一种研究工程系统设计中顺序决策的细粒度数据驱动方法
  • 批准号:
    1842588
  • 财政年份:
    2018
  • 资助金额:
    $ 15.44万
  • 项目类别:
    Standard Grant

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