Purpose The aim of this paper is to develop a contribution to knowledge that adds to the empirical evidence of predictive condition-based maintenance by demonstrating how the availability and reliability of current assets can be improved without costly capital investment, resulting in overall system performance improvements Design/methodology/approach The empirical, experimental approach, technical action research (TAR), was designed to study a major Middle Eastern airport baggage handling operation. A predictive condition-based maintenance prototype station was installed to monitor the condition of a highly complex system of static and moving assets. Findings The research provides evidence that the performance frontier for airport baggage handling systems can be improved using automated dynamic monitoring of the vibration and digital image data on baggage trays as they pass a service station. The introduction of low-end innovation, which combines advanced technology and low-cost hardware, reduced asset failures in this complex, high-speed operating environment. Originality/value The originality derives from the application of existing hardware with the combination of edge and cloud computing software through architectural innovation, resulting in adaptations to an existing baggage handling system within the context of a time-critical logistics system.

中文翻译：

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主要机场行李系统的状态维护

目的 本文的目的是通过展示如何在不进行昂贵的资本投资的情况下提高流动资产的可用性和可靠性，从而提高整体系统性能，从而为知识做出贡献，为基于预测的状态维护的经验证据增加知识。 /methodology/approach 经验、实验方法、技术行动研究 (TAR) 旨在研究中东的一个主要机场行李处理操作。安装了一个基于状态的预测性维护原型站，用于监控高度复杂的静态和移动资产系统的状态。结果 该研究提供的证据表明，通过自动动态监测行李托盘通过服务站时的振动和数字图像数据，可以改善机场行李处理系统的性能边界。结合先进技术和低成本硬件的低端创新的引入，减少了这种复杂、高速运行环境中的资产故障。独创性/价值独创性源于现有硬件的应用，通过架构创新结合边缘和云计算软件，从而在时间紧迫的物流系统的背景下适应现有的行李处理系统。在这种复杂、高速的操作环境中减少资产故障。独创性/价值独创性源于现有硬件的应用，通过架构创新结合边缘和云计算软件，从而在时间紧迫的物流系统的背景下适应现有的行李处理系统。在这种复杂、高速的操作环境中减少资产故障。独创性/价值独创性源于现有硬件的应用，通过架构创新结合边缘和云计算软件，从而在时间紧迫的物流系统的背景下适应现有的行李处理系统。