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首页> 外文期刊>Journal of Quality in Maintenance Engineering >Advantages and potential challenges of data management in e-maintenance
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Advantages and potential challenges of data management in e-maintenance

机译:电子维护中数据管理的优点和潜在挑战

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摘要

The purpose of this paper is twofold: first, to understand data management challenges in e-maintenance systems from a holistically viewpoint through summarizing the earlier scattered research in the field, and second, to present a conceptual approach for addressing these challenges in practice. Design/methodology/approach - The study is realized as a combination of a literature review and by the means of analyzing the practices on an industry leader in manufacturing and maintenance services. Findings — This research provides a general understanding over data management challenges in e-maintenance and summarizes their associated proposed solutions. In addition, this paper lists and exemplifies different types and sources of data which can be collected in e-maintenance, across different organizational levels. Analyzing the data management practices of an e-maintenance industry leader provides a conceptual approach to address identified challenges in practice. Research limitations/implications - Since this paper is based on studying the practices of a single company, it might be limited to generalize the results. Future research topics can focus on each of mentioned data management challenges and also validate the applicability of presented model in other companies and industries. Practical implications - Understanding the e-maintenance-related challenges helps maintenance managers and other involved stakeholders in e-maintenance systems to better solve the challenges. Originality/value — The so-far literature on e-maintenance has been studied with narrow focus to data and data management in e-maintenance appears as one of the less studied topics in the literature. This research paper contributes to e-maintenance by highlighting the deficiencies of the discussion surrounding the perspectives of data management in e-maintenance by studying all common data management challenges and listing different types of data which need to be acquired in e-maintenance systems.
机译:本文的目的是双重的:首先,通过总结该领域的早期分散研究,从全面的观点来看,了解电子维护系统中的数据管理挑战,并在其实践中提出了解决这些挑战的概念方法。设计/方法/方法 - 该研究实现了文献审查的组合,并通过分析了制造和维护服务行业领导者的实践。调查结果 - 本研究提供了对电子维护中数据管理挑战的一般性理解,并总结了他们相关的提出解决方案。此外,本文列出并举例说明了可以在不同组织级别中收集在电子维护中的不同类型和数据源。分析电子维护行业领导者的数据管理实践提供了一种概念方法,以解决实践中所识别的挑战。研究限制/影响 - 由于本文基于研究单一公司的实践,因此可能限于概括结果。未来的研究主题可以专注于每个提到的数据管理挑战,并还验证了呈现模型在其他公司和行业的适用性。实际意义 - 了解与电子维护相关的挑战有助于维护经理和其他有关利益相关者在电子维护系统中更好地解决挑战。原创性/值 - 已经研究了电子维护的超级文献,并缩小了对数据的数据,电子维护中的数据管理显示为文献中的较少学习主题之一。本研究论文通过突出通过研究所有常见的数据管理挑战和列出需要在电子维护系统中获取的不同类型数据的数据管理讨论讨论的缺陷来促进讨论讨论的缺陷来实现电子维护。

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