Raw data underlying the PhD thesis: Advancing Repairability in Consumer Electronics: Design Guidelines and Evaluation Methods

Contains the raw data files used in Dissertation: Advancing Repairability in Consumer Electronics: Design Guidelines and Evaluation Methods by Sagar Dangal. Its overarching aim is to develop design guidelines and evaluation methods that improve fault diagnosis, disassembly assessment and repairability scoring, thereby enabling longer product lifetimes and supporting right to repair policies. This dissertation comprises four core chapters, each addressing a part of research objective through varied methodological approaches. Chapter 3 investigates how end-users with different repair experience diagnose faults in consumer appliances and how design features influence this process. It adopts a qualitative user observation study involving 24 participants, who diagnosed faults in four products while thinking aloud, supported by video recordings and interviews, yielding verbal, behavioral, and interview data. Chapter 4 develops the Disassembly and Reassembly Time (DaRT) model to provide a time-based, scalable, and accurate method for assessing ease of disassembly across appliances. This chapter is grounded in quantitative research, based on over 10,000 disassembly actions from 52 products performed by professional technicians, resulting in a numerical dataset for statistical modeling. Chapter 5 evaluates the objectivity and completeness of six major repairability scoring systems by comparing their criteria to empirically established design principles. This study uses qualitative content analysis to assess whether the systems comprehensively cover key repairability features and whether their scoring methods are clearly defined and operator-independent. Chapter 6 empirically tests the validity and reliability of three widely used scoring systems by applying them to 16 products and comparing the outcomes under best- and worst-case scenarios against DaRT timings. This chapter combines experimental and comparative methods, generating both quantitative scores and qualitative observations to assess consistency and accuracy in representing real-world repair effort. <br>The folders are arranged per chapter, details on raw data of each chapter can be found in README file of the chapter folder.<br><br>

本数据集包含萨加尔·丹加尔（Sagar Dangal）所著学位论文《提升消费电子设备可维修性：设计准则与评估方法》中使用的原始数据文件。本研究的核心目标是开发可优化故障诊断、拆解评估与可维修性评分的设计准则与评估方法，以此延长产品使用寿命，并为维修权政策提供支撑。该学位论文包含四个核心章节，各自通过多样化的研究方法推进研究目标的达成。第3章探究了具备不同维修经验的终端用户如何诊断消费类家电的故障，以及设计特征对该过程的影响。本研究采用定性用户观察法，招募24名参与者，要求其在出声思考模式下完成四款产品的故障诊断任务，辅以视频录制与访谈手段，最终获取了语音、行为与访谈三类数据。第4章构建了拆解与重装耗时（DaRT）模型，旨在提供一种基于时间维度、可扩展且精准的方法，用于评估家电的拆解难易程度。本章基于定量研究方法，依托专业技术人员对52款产品完成的超10000次拆解操作所产生的数据，构建了可用于统计建模的数值型数据集。第5章通过将六大主流可维修性评分系统的评估标准与经实证确立的设计准则进行对比，评估了各系统的客观性与完整性。本研究采用定性内容分析法，用以判断这些系统是否全面覆盖了关键可维修性特征，以及其评分方法是否定义清晰、不受操作人员影响。第6章针对三款广泛使用的评分系统展开实证有效性与可靠性测试：将其应用于16款产品，并结合最佳与最差工况下的DaRT耗时数据对比评估结果。本章融合实验与对比研究方法，同时生成定量评分与定性观测结果，用以衡量其在反映实际维修工作量方面的一致性与准确性。数据集文件夹按章节进行划分，各章节原始数据的详细说明可查阅对应章节文件夹中的README文件。