考虑顾客满意度敏感性的产品再设计

IF 1.7 3区 工程技术 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Kaixin Sha, Yupeng Li, Zhihua Zhao, Na Zhang
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引用次数: 0

摘要

摘要重新设计是一种广泛应用的产品改进策略,其实质是考虑到客户满意度和成本之间的权衡,对设计参数进行优化。与顾客需求(CRs)与顾客满意的关系类似,顾客满意对不同DPs的敏感性也是不同的。在本研究中,定义了一个敏感度增强的顾客满意函数,用于再设计模型的构建。填补了产品再设计中缺乏对顾客满意敏感性的考虑和量化的研究空白。首先,基于Kano指数定义敏感性指标,分析不同DP类别下顾客满意度的敏感性。其次,对传统的顾客满意函数进行改进,引入顾客满意对DPs变化的敏感性。在此基础上,建立了客户与企业共享剩余最大化的DP优化模型。最后,以某汽车制动系统的再设计为例,验证了所提方法的有效性和合理性。结果表明,改进后的顾客满意函数能更细致地反映出顾客满意与客户服务提供者履行水平之间的关系。此外,本文提出的再设计模型可以帮助设计者更好地权衡DPs的目标值,提高企业的竞争力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Product redesign considering the sensitivity of customer satisfaction
Abstract Redesign is a widespread strategy for product improvement whose essence is the optimization of design parameters (DPs) considering the trade-off between customer satisfaction and cost concerns. Similar to the relation between customer requirements (CRs) and customer satisfaction, the sensitivity of customer satisfaction is diverse to different DPs. In this study, a sensitivity-enhanced customer satisfaction function is defined for redesign model construction. This fills the research gap in product redesign that lacking of consideration and quantification of customer satisfaction sensitivity. First, a sensitivity index is defined based on Kano indices for analyzing sensitivity of customer satisfaction in different DP categories. Second, traditional customer satisfaction function has been improved by injecting the sensitivity of customer satisfaction to the variations of DPs. Subsequently, a DP optimization model is established to maximize shared surplus between customers and enterprise. Finally, a case study involving the redesign of a braking system of automobile is implemented to demonstrate the effectiveness and rationality of the proposed approach. The results show that the improved customer satisfaction function can reflect a more nuanced relationship between customer satisfaction and fulfilment level of DPs. Additionally, the proposed redesign model helps designers determine the target values of DPs under a better trade-off and enhances enterprise competitiveness.
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来源期刊
CiteScore
4.40
自引率
14.30%
发文量
27
审稿时长
>12 weeks
期刊介绍: The journal publishes original articles about significant AI theory and applications based on the most up-to-date research in all branches and phases of engineering. Suitable topics include: analysis and evaluation; selection; configuration and design; manufacturing and assembly; and concurrent engineering. Specifically, the journal is interested in the use of AI in planning, design, analysis, simulation, qualitative reasoning, spatial reasoning and graphics, manufacturing, assembly, process planning, scheduling, numerical analysis, optimization, distributed systems, multi-agent applications, cooperation, cognitive modeling, learning and creativity. AI EDAM is also interested in original, major applications of state-of-the-art knowledge-based techniques to important engineering problems.
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