摘要: |
目的 随着现代办公环境对灵活性和多功能性需求的不断增长,传统办公桌的设计使用场景已无法满足多样化人群的个性化需求。在智能化、数字化和个性化加速发展的背景下,旨在设计多场景体验的办公桌,为不同用户群体提供多样化的办公环境。方法 提出了一种多场景办公桌产品设计分层策略,上层采用亲和图法对用户需求进行无框架聚类,通过高斯模糊AHP处理专家评估的不确定性,提高用户需求权重计算精确度;中层利用QFD获取多场景办公桌典型技术特征,通过HOQ建立用户需求与技术特征的映射关系,提取核心技术特征和矛盾项;下层基于TRIZ理论解决技术矛盾,根据核心技术特征优化产品设计。结果 该分层策略在多场景办公桌设计实践中得到了有效应用,解决了多个矛盾技术特征,显著提高了产品开发的效率与质量。结论 通过分层构建数学模型,能有效量化用户需求,确保设计方案紧密贴合用户真实需求,通过产品设计实践验证,该分层策略能有效地整合多样化的需求,使得多场景办公桌情感化、人性化、功能化,增强其市场竞争力。 |
关键词: 高斯模糊AHP HOQ TRIZ 多场景办公桌 产品设计 |
DOI:10.19554/j.cnki.1001-3563.2025.10.047 |
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Multi-scenario Desk Design Based on Gaussian Fuzzy AHP/HOQ and TRIZ Hierarchical Strategy |
ZHANG Xinyue, YU Wei
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(School of Art Design and Media, East China University of Science and Technology, Shanghai 200237, China)
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Abstract: |
With the increasing demand for flexibility and multifunctionality in modern office environments, traditional office desk design can no longer accommodate the personalized demands of diverse user groups. Against the backdrop of accelerated advancements in intelligence, digitalization, and personalization, the work aims to design a multi-scenario experience office desk to provide a diversified office environment for different user groups. A hierarchical strategy for the product design of multi-scenario experience office desks was designed. For the upper layer, the Affinity Diagram method was used for unstructured clustering of user demands and Gaussian Fuzzy AHP was applied to address uncertainties in expert evaluations, thereby improving the accuracy of user demand weight calculations. For the middle layer, Quality Function Deployment (QFD) was applied to identify key technical features of multi-scenario experience office desks and a mapping between user demands and technical features was established through the House of Quality (HOQ) to extract core technical features and contradictions. For the lower layer, the TRIZ theory was applied to resolve technical contradictions and product design was optimized based on core technical features. This hierarchical strategy was effectively applied in the design practice of multi-scenario experience office desks, successfully resolving multiple conflicting technical features and significantly enhancing product development efficiency and quality. By constructing a mathematical model within the hierarchical framework, user demands can be effectively quantified, ensuring that design solutions closely align with real user demands. Validation through product design practice confirms that this hierarchical strategy effectively integrates diverse demands, endowing the multi-scenario experience office desk with emotional, human-centered, and functional attributes, thereby enhancing its market competitiveness. |
Key words: Gaussian fuzzy AHP HOQ TRIZ multi-scenario desk product design |