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首页> 外文会议>Portland International Conference on Management of Engineering and Technology >A Fuzzy-AHP-Based Decision Support System for Maintenance Strategy Selection in Facility Management
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A Fuzzy-AHP-Based Decision Support System for Maintenance Strategy Selection in Facility Management

机译：基于模糊层次分析法的设施管理维修策略选择决策支持系统

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摘要

In facility management, maintenance plays an important role in the sustainable development of buildings, involving safety, technical, economic and environmental aspects. An effective building maintenance strategy is critical in improving equipment reliability and availability, maintaining a comfortable environment, enhancing energy efficiency and minimizing the life-cycle cost of the building. Hence, a company's competitiveness and profitability can be improved significantly if unintended failure can be avoided. However, in the current maintenance process, maintenance knowledge and expertise are usually very subjective while the conventional approach is not sufficiently systematical to explain the judgement and assessment criteria. In addition, even though applications of optimization approaches in the maintenance process have been considered, exploring acceptable reasoning for vague information, such as costs, risk assessment and expert feedback is lacking, in the consideration of different maintenance strategies. Therefore, in this paper, a fuzzy-AHP-based decision support system (FADSS) is proposed for assisting in the multi-criteria decision-making process so as to determine the most cost-effective and efficient maintenance strategy. To evaluate the proposed system, a case study is conducted regarding building facilities maintenance. It is found that, through formulating the most suitable strategy, the work efficiency can be improved, and the maintenance costs can be minimized.
机译：在设施管理中，维护在建筑物的可持续发展中起着重要作用，涉及安全，技术，经济和环境方面。有效的建筑物维护策略对于提高设备的可靠性和可用性，维持舒适的环境，提高能效并最小化建筑物的生命周期成本至关重要。因此，如果可以避免意外失败，则可以显着提高公司的竞争力和盈利能力。但是，在当前的维护过程中，维护知识和专业知识通常是非常主观的，而常规方法还没有足够系统地解释判断和评估标准。此外，即使已经考虑了在维护过程中使用优化方法的可能性，但在考虑不同维护策略的情况下，仍缺乏探索模糊信息（例如成本，风险评估和专家反馈）的可接受理由。因此，本文提出了一种基于模糊AHP的决策支持系统（FADSS）来辅助多准则决策过程，从而确定最具成本效益和最有效的维护策略。为了评估提议的系统，进行了有关建筑设施维护的案例研究。发现通过制定最合适的策略，可以提高工作效率，并最大程度地降低维护成本。

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