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首页> 外文会议>ASME international design engineering technical conferences and computers and information in engineering conference;Design for manufacturing and the life cycle conference;International conference on micro- and nanosystems >DESIGN FOR EASE-OF-REPAIR: INSIGHTS FROM CONSUMERS' REPAIR EXPERIENCES
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DESIGN FOR EASE-OF-REPAIR: INSIGHTS FROM CONSUMERS' REPAIR EXPERIENCES

机译：易于维修的设计：消费者维修经验的启示

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摘要

With the increasing attention on the role of consumer behavior in sustainable development, consideration of consumer's product repair and reuse behavior is becoming more and more important in the product design domain. In order to investigate the product ease-of-repair and its effect on future product purchase and recommendation decisions made by consumers, this paper studies the main reasons that consumers were not able to repair a product based on a survey data collected by a wiki-based website that offers repair manuals for consumer electronics. Two main questions have been asked in the survey: what is the last thing you personally fixed? And why did you not succeed in fixing it. The information of these questions and the available response options have been used to compared eleven types of electronics in terms of their ease-of-repair. A list of design features (e.g. openability, accessibility, standardization, and modularity) that may increase the repair adoption by individual consumers has been discussed. In addition, a Data Envelopment Analysis (DEA) method was introduced to compare different categories of products in terms of reparability efficiency. The findings on how repair experiences or efficiency of repair for different categories of devices influence consumers' future purchase and recommendation decisions have been presented.
机译：随着人们越来越关注消费者行为在可持续发展中的作用，在产品设计领域中，考虑消费者的产品维修和再使用行为变得越来越重要。为了调查产品易于维修及其对消费者未来购买产品和推荐决定的影响，本文根据维基百科收集的调查数据研究了消费者无法维修产品的主要原因。基于网站的网站，提供消费类电子产品的维修手册。调查中提出了两个主要问题：您个人确定的最后一件事是什么？以及为什么您没有成功解决它。这些问题的信息和可用的响应选项已用于比较11种类型的电子产品的易维修性。讨论了一系列可能会增加单个消费者采用维修的设计功能（例如，可打开性，可访问性，标准化和模块化）。此外，引入了数据包络分析（DEA）方法，以比较可修复性效率方面的不同类别的产品。提出了有关不同类别设备的维修经验或维修效率如何影响消费者未来购买和推荐决策的发现。

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