Having systematic maintenance practices does sustain the lifecycle of the facilities. Hence, engineers have always been seeking for practical approaches toward providing better maintenance scheme. Such attempts have resulted in the appearance of numerous maintenance management models including the most commonly accepted one, that is, the total productive maintenance (TPM). Although the concept of TPM and its corresponding pillars have extensively been investigated in the recent literature of Maintenance Engineering and Management, the majority of the previous research attempts, including the multi-criteria decision making (MCDM) applications, have handled them within the context of the manufacturing sector; and almost none of them have been applied in the services sector. This paper proposes the multi-attributive border approximation area comparison (MABAC) method, a newly developed MCDM technique, as a tool upon which eight TPM pillars are evaluated in order to identify the maintenance maturity level in a public service sector. The investigations indicate that the proposed model equips maintenance engineers with an insight into the mechanism upon which TPM pillars can operate effectively. The results of the proposed model indicate that the investigated institution is generally not matured enough to be up to the desired level of TPM performance.

中文翻译：

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使用MABAC方法识别维护成熟度水平：公共服务部门TPM支柱的适应

有系统的维护实践确实可以维持设施的生命周期。因此，工程师一直在寻找实用的方法来提供更好的维护方案。这种尝试导致出现了许多维护管理模型，包括最普遍接受的维护管理模型，即总生产维护（TPM）。尽管在维护工程和管理的最新文献中已经对TPM的概念及其相应的支柱进行了广泛的研究，但大多数以前的研究尝试（包括多标准决策（MCDM）应用程序）已在以下方面进行了处理：制造业；而且几乎没有一个被应用到服务领域。本文提出了一种新开发的MCDM技术-多属性边界近似区域比较（MABAC）方法，将其作为评估八个TPM支柱以识别公共服务部门维护成熟度水平的工具。调查表明，所提出的模型使维护工程师对TPM支柱可以有效运行的机制有深刻的了解。提出的模型的结果表明，所调查的机构通常不够成熟，无法达到所需的TPM绩效水平。调查表明，所提出的模型使维护工程师对TPM支柱可以有效运行的机制有深刻的了解。提出的模型的结果表明，所调查的机构通常不够成熟，无法达到所需的TPM绩效水平。调查表明，所提出的模型使维护工程师对TPM支柱可以有效运行的机制有深刻的了解。提出的模型的结果表明，所调查的机构通常不够成熟，无法达到所需的TPM绩效水平。