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论文编号：	16113
作者编号：	2320233843
上传时间：	2026/6/8 8:42:28
中文题目：	A公司设备全生命周期管理优化研究
英文题目：	Research on the Optimization of Equipment Lifecycle Management at Company A
指导老师：	方磊
中文关键字：	设备管理；全生命周期；精细化工；全员生产维护（TPM）；优化方 案
英文关键字：	Equipment management; Life-cycle; Fine chemical industry; Total Productive Maintenance (TPM); Optimization program
中文摘要：	在化工行业，设备管理水平直接影响产品质量、生产安全与企业经济效益， 然而传统化工企业普遍存在管理粗放、体系碎片化等问题，难以适应高质量发 展的现实需求。A 公司作为典型代表，其设备管理困境折射出行业共性问题。本 研究基于设备全生命周期理论，综合运用访谈调研与数据分析方法，深入诊断 A 公司在前期规划、中期运维及后期处置各阶段的痛点，旨在构建一套科学、系 统且可落地的管理体系，以提升设备综合效率、降低运营成本，并为同类传统 化工企业的转型升级提供理论依据与实践范式。 研究表明，A 公司设备管理失效的根源在于全生命周期各环节的系统性脱 节。前期决策缺乏长远战略，设备选型与工艺需求脱节、产线布局不合理及电 气系统存在先天缺陷；中期维护体系缺失，过度依赖事后维修，管理与巡检机 制流于形式，员工技能短板与激励失衡并存；后期更新机制不畅，设备老旧与 技术代差问题突出，自动化水平低下且废旧资产处置流程阻滞。针对上述症结， 制定了以“科学决策、科学管理、科学流程”为核心的优化方案：在前期决策 中，引入科学论证与跨部门协同机制，强化设备选型与工艺需求的精准匹配； 在中期维护中，全面推行全员生产维护，构建“自主维护为基础、专业维护为 支撑”的双轨运行体系；在后期处置中，完善报废更新制度，制定自动化改造 路线图与分步更新计划，打通资产流转堵点。同时，从组织架构优化、人才培 养、资金保障及制度完善等方面提出具体保障措施，确保方案有效落地。 通过构建闭环式设备全生命周期管理体系，助力 A 公司实现从“被动救火” 向“主动预防”的战略转型，在显著提升设备可靠性与综合效率的同时，有效 降低全周期成本，增强企业核心竞争力。研究成果不仅解决了 A 公司的实际困 境，也为同类型精细化工企业在设备管理领域的数字化、智能化升级提供了具 有普适性的理论依据与实践范式，具有重要的行业推广价值。“前端科学决策 —中端精益运维—末端高效处置”的闭环管理逻辑，为传统制造企业突破设备 管理瓶颈提供了可复制、可推广的系统性解决方案。
英文摘要：	In the chemical industry, the level of equipment management directly impacts product quality, production safety, and corporate economic performance. However, traditional chemical enterprises commonly face challenges such as extensive management practices and fragmented management systems, making it difficult to meet the demands of high-quality development. Company A, a typical representative in the fine chemical sector, reflects these industry-wide issues through its equipment management challenges. This study, grounded in the equipment lifecycle theory, employs interview-based investigation and data analysis methods to conduct an in-depth diagnosis of the pain points in Company A’s equipment management across the planning, operation and maintenance, and disposal stages. The objective is to establish a scientific, systematic, and implementable management system to enhance overall equipment effectiveness, reduce operational costs, and provide both a theoretical basis and practical paradigm for the transformation and upgrading of similar traditional chemical enterprises. The findings reveal that the root cause of Company A’s equipment management ineffectiveness lies in the systemic disconnection across the various stages of the equipment lifecycle. In the early stage, a lack of long-term strategy results in a mismatch between equipment selection and process requirements, unreasonable production line layouts, and inherent deficiencies in the electrical system. During the operational stage, the absence of a robust maintenance system leads to an over-reliance on reactive maintenance, while lubrication management and inspection mechanisms become mere formalities, accompanied by skill gaps among employees and imbalanced incentive structures. In the later stage, inefficient renewal mechanisms, aging equipment, technological obsolescence, low levels of automation, and obstructed processes for disposing of obsolete assets further drive up comprehensive operating costs. To address these issues, this study formulates an optimization framework centered on “scientific decision-making, scientific management, and scientific processes.” This framework includes introducing cross-departmental coordination and evidence-based evaluation to ensure precise alignment between equipment selection and process requirements, implementing Total Productive Maintenance to establish a dual-track II Abstract system underpinned by autonomous and professional maintenance, and improving asset retirement and renewal mechanisms alongside a pragmatic roadmap for phased automation upgrades. Corresponding supporting measures—such as organizational restructuring, workforce development, dedicated funding, and system enhancements—are also proposed to ensure effective implementation. By establishing a closed-loop equipment lifecycle management system, this study facilitates a strategic shift for Company A from “reactive firefighting” to “proactive prevention.” This transition not only significantly improves equipment reliability and overall effectiveness but also effectively reduceslifecycle costs and strengthens core competitiveness. The research outcomes not only resolve the practical challengesfaced by Company A but also offer a universally applicable theoretical basis and practical paradigm for the digital and intelligent transformation of equipment management in similar fine chemical enterprises. The closed-loop management logic of “front-end scientific decision-making, mid-stream lean operation and maintenance, and end-of-life efficient disposal” provides a replicable and scalable systematic solution for traditional manufacturing firms seeking to overcome equipmentmanagement bottlenecks.
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