A hypergraph model of product function recombination based on online reviews

IF 2.5 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
W. Lin, Yu Wang, Renbin Xiao
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引用次数: 1

Abstract

ABSTRACT Functional module recombination is a common means for manufacturers to upgrade and launch new product quickly. However, this method may bring with significant risks and it requires accurate identification on market trends in the uncertain environments, and cannot be achieved depend on expert experience. Therefore, a data-driven approach is proposed for product function recombination based on online reviews. Firstly, the information collection for e-commerce data is carried out to obtain product functional description, and the incidence matrix (IM) is formed by combining the corresponding relationship between function and product, so as to construct the hypergraph model. After that, for calculating the hyperedge weight and hyperedge degree as well as the hypernode weight and hypernode degree, random walk algorithm is introduced to obtain the transition probability between the function nodes. Moreover, three innovation strategies of product function recombination are proposed, including function expand, function trim and function replace respectively. Meanwhile, through the results of transition probability calculation, quantitative analysis is utilised for the implementation of different strategies. Finally, the headphone is taken as a case to verify the method, which is indicated as an effective functional optimisation tool and can provide a new research basis for product design.
基于在线评价的产品功能重组超图模型
功能模块重组是厂商快速升级和推出新产品的常用手段。但是,这种方法可能会带来很大的风险,并且需要在不确定的环境中对市场趋势进行准确的识别,仅凭专家经验是无法实现的。为此,提出了一种基于在线评价的产品功能重组的数据驱动方法。首先对电子商务数据进行信息收集,获得产品功能描述,结合功能与产品的对应关系形成关联矩阵(IM),构建超图模型;然后,为了计算超边权值和超边度,以及超节点权值和超节点度,引入随机行走算法,获得功能节点之间的转移概率。提出了产品功能重组的三种创新策略,分别是功能扩展、功能精简和功能替代。同时,通过转移概率计算的结果,对不同策略的实施进行定量分析。最后以耳机为例对该方法进行了验证,表明该方法是一种有效的功能优化工具,可以为产品设计提供新的研究依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Engineering Design
Journal of Engineering Design 工程技术-工程:综合
CiteScore
5.00
自引率
33.30%
发文量
18
审稿时长
4.5 months
期刊介绍: The Journal of Engineering Design is a leading international publication that provides an essential forum for dialogue on important issues across all disciplines and aspects of the design of engineered products and systems. The Journal publishes pioneering, contemporary, best industrial practice as well as authoritative research, studies and review papers on the underlying principles of design, its management, practice, techniques and methodologies, rather than specific domain applications. We welcome papers that examine the following topics: Engineering design aesthetics, style and form- Big data analytics in engineering design- Collaborative design in engineering- Engineering concept design- Creativity and innovation in engineering- Engineering design architectures- Design costing in engineering Design education and pedagogy in engineering- Engineering design for X, e.g. manufacturability, assembly, environment, sustainability- Engineering design management- Design risk and uncertainty in engineering- Engineering design theory and methodology- Designing product platforms, modularity and reuse in engineering- Emotive design, e.g. Kansei engineering- Ergonomics, styling and the design process- Evolutionary design activity in engineering (product improvement & refinement)- Global and distributed engineering design- Inclusive design and assistive engineering technology- Engineering industrial design and total design- Integrated engineering design development- Knowledge and information management in engineering- Engineering maintainability, sustainability, safety and standards- Multi, inter and trans disciplinary engineering design- New engineering product design and development- Engineering product introduction process[...]
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