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论文编号：	15723
作者编号：	2320233800
上传时间：	2025/12/9 16:08:53
中文题目：	R公司风电运维服务质量提升研究
英文题目：	Research on the improvement of quality management of wind power operation and maintenance service projects of R company
指导老师：	焦媛媛
中文关键字：	服务质量；SERVQUAL模型；期望–感知差距理论；风电场运维
英文关键字：	Service Quality; SERVQUAL Model; Expectation–Perception Gap Theory; Wind Farm Operation and Maintenance
中文摘要：	在“碳达峰—碳中和”战略与平价并网常态化的背景下，风电行业正由装机扩张转向运营质量提升。随着设备进入全寿命周期中后段，服务质量已成为影响度电成本与客户满意度的关键。R公司作为典型运维服务商，在H风电场的运行实践中暴露出可靠性不足、响应不及时和客户导向薄弱等问题。为避免单纯依赖技术KPI，本文尝试构建“技术绩效—客户感知”双维度耦合的质量评价框架，从管理学视角探索风电运维服务质量的改进路径。 研究基于SERVQUAL五维度修订量表，结合风电场作业特征形成本土化测评工具，共回收有效样本563份，信度达到0.987。分析结果显示，“可靠性”和“响应性”存在显著短板，具体表现为返修率高、闭环不足、到场时效不达标、应急响应不及时、沟通不足与个性化服务缺失，文档与现场管理亦不规范。进一步归纳发现，问题的根源主要集中在五方面：故障诊断不精准与备件不足、调度体系不完善与交通受限、知识萃取机制缺失与培训薄弱、需求调研不足与差异化意识缺乏，以及信息系统分散与标准化执行不严。这些深层原因导致R公司服务质量呈现结构性不足。 围绕识别出的薄弱环节，本文构建“五策+三保”的系统性改进方案。具体包括：一是提升故障诊断准确率与响应保障能力，缩短定位—处置链路；二是优化调度体系与资源配置，强化派工、备件与交通能力的一体化统筹；三是推进现场执行体系的指挥资源与合规稳定化，完善SOP、SLA与跨域协同机制；四是增强运维作业计划的灵活性，以滚动计划与窗口适配提升外部不确定性的吸纳能力；五是重塑现场文档规范与信息协同闭环，打通工单、知识与台账的数据流。为确保举措落地，配套设计三项保障：建立“组织—资源—监督”三位一体的保障框架；构建分级用人体系与长效激励机制；强化标准执行与责任追溯的闭环管理。试点验证表明，上述组合措施能够压缩响应与修复时长、提高资源配置效率、增强跨部门协同，实现技术KPI与客户感知的协同改善。本文的贡献在于提出一套将SERVQUAL与风电运维场景深度融合的评价—改进一体化框架，为R公司及同类企业提供可复制、可扩展的质量提升范式。
英文摘要：	Against the backdrop of the “Carbon Peaking–Carbon Neutrality” strategy and the normalization of grid parity, the wind power industry is shifting from capacity expansion to improving operational quality. As equipment enters the mid-to-late stages of its full life cycle, service quality has become a key factor influencing both the levelized cost of electricity and customer satisfaction. As a typical O&M service provider, Company R has exposed issues in the operation of Wind Farm H, including insufficient reliability, untimely response, and weak customer orientation. To avoid relying solely on technical KPIs, this study attempts to construct a quality evaluation framework coupling “technical performance–customer perception,” and explores improvement paths for wind power O&M service quality from a management perspective. The research is based on a revised SERVQUAL five-dimension scale, adapted to the characteristics of wind farm operations to form a localized evaluation tool. A total of 563 valid samples were collected, with reliability reaching 0.987. The analysis shows significant shortcomings in “reliability” and “responsiveness,” specifically manifested as high rework rates, lack of process closure, inadequate timeliness of on-site arrival, insufficient emergency response, poor communication, and lack of personalized services. Documentation and on-site management were also found to be non-standardized. Further analysis reveals that the root causes mainly fall into five areas: inaccurate fault diagnosis and insufficient spare parts; imperfect dispatching systems and transportation constraints; lack of knowledge extraction mechanisms and weak training; insufficient demand research and lack of differentiation awareness; and fragmented information systems with weak standardization enforcement. These deep-seated issues have led to structural deficiencies in Company R’s service quality. To address the identified weaknesses, this paper proposes a systemic “Five Measures + Three Safeguards” program. Specifically: (1) improve fault-diagnosis accuracy and response assurance to shorten the locate-to-resolve chain; (2) optimize dispatching and resource allocation through integrated coordination of work orders, spare parts, and transport capacity; (3) stabilize command resources and compliance in field execution by refining SOPs, SLAs, and cross-functional collaboration; (4) enhance the flexibility of O&M work planning via rolling schedules and window-matching to better absorb external uncertainties; and (5) reconstruct documentation standards and the information-collaboration loop to connect work orders, knowledge bases, and operational ledgers. To ensure implementation, we design three safeguards: establishing an “organization–resources–supervision” tri-pillar assurance framework; building a graded staffing system with long-term incentives; and reinforcing a closed loop for standard execution and accountability. Pilot verification shows that the combined measures compress response and repair times, improve resource-allocation efficiency, and strengthen cross-departmental collaboration, thereby achieving coordinated improvements in technical KPIs and customer perception. The study contributes an integrated evaluation-and-improvement framework that deeply fuses SERVQUAL with wind O&M practice, offering a replicable and scalable quality-enhancement paradigm for Company R and similar enterprises.
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