高端设备MRO管理绩效评价新模型：提升效率与控制成本

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本文主要探讨了"高端设备MRO管理指标绩效评价模型"的研究，发表在国际知名期刊《国际生产研究》(International Journal of Production Research)上。该论文的作者是Ling Li、Min Liu、Weiming Shen 和 Guoqing Cheng，他们的研究旨在提出一个创新的性能评估模型，专门针对高价值设备的MRO（维护、修理与运营）管理。MRO管理对于任何依赖高端设备运行的组织来说至关重要，因为它关系到设备的可靠性和生产效率。论文的国际标准连续出版物编号(ISBN)为Print: 0020-7543和Online: 1366-588X，读者可以通过访问https://www.tandfonline.com/action/journalInformation?journalCode=tprs20获取全文的完整使用条款和条件。引用该文章时，应注明：Ling Li, Min Liu, Weiming Shen & Guoqing Cheng (2019) "An innovative performance evaluation model for MRO management indicators of high-end equipment", International Journal of Production Research, DOI: 10.1080/00207543.2019.1566654。在线发表日期为2019年1月16日。论文的亮点在于其方法论，可能包括对现有MRO管理指标的分析，如设备维护频率、故障率、维修成本等关键因素的权重分配，以及如何通过数据驱动的方式建立一个动态的评价体系。这不仅有助于企业更好地理解高价值设备的维护表现，还可能优化资源分配，降低停机时间和生产中断的风险，从而提升整体运营效率。作者们强调，他们的工作提供了新的视角和工具，可以帮助企业在复杂的高端设备MRO管理中做出更明智的决策。截至发表时，该文章已被浏览34次，显示出其在相关领域的关注度。对于有兴趣进一步研究或应用此类模型的读者，可以通过链接https://doi.org/10.1080/00207543.2019.1566654查阅原文或者利用Crossmark数据追踪论文的更新。这篇论文对于制造业、工程和技术领域的企业来说是一份有价值的参考资料，提供了量化高端设备MRO管理绩效的方法，具有显著的实际应用价值。

International Journal of Production Research 3

more attention in MRO management decision-making. The innovations and practical signiﬁcance of this paper are as

follows:

• Approach innovation: In conventional ANP method, the levels of factors’ interdependences are treated as recip-

rocal values, i.e. the pair-wise comparison matrix is symmetric. However, the symmetry does not fully reﬂect the

interrelations between different factors. To make the model more accordant with the real system, the pair-wise

comparison matrix is set as a general square matrix (the symmetry is cancelled) in the improved ANP method.

• Practical signiﬁcance: Decision results of the model are based on perception information on the observed indica-

tors, and fortunately in the intelligence-connected era, the rapid developments of Internet of things and big data

technologies enable us to access, collect, and store the related information. In this sense, the proposed model is

especially necessary for the industrial big data environment, and meanwhile the efﬁciency of the model can be

validated through the actual big data.

The rest of this paper is organised as follows. Section 2 describes the MRO management framework of high-end equip-

ment, as well as a description of the selected indicators. Evaluation model for MRO management indicators based on an

integrated method is presented in Section 3. In Section 4, a case study is presented to validate the feasibility and efﬁciency

of the proposed model. The paper ends with conclusions in Section 5.

2. MRO management of high-end equipment

First, the MRO management framework of high-end equipment is described. Then the signiﬁcance and challenges of MRO

management are presented. Finally, based on an extensive set of literature, appropriate indicators are extracted.

2.1. MRO management framework of high-end equipment

Figure 1 shows the MRO management framework of high-end equipment. The framework consists of three parts: online

production management, ofﬂine maintenance management, and maintenance BOM management. In the ﬁrst part, the oper-

ating state of equipment is online monitored and recorded. Taking continuous caster (CC) as an example, some important

Figure 1. MRO management framework of high-end equipment.

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