Advantages and potential challenges of data management in e-maintenance

被引:13
|
作者
Razmi-Farooji, Arian [1 ]
Kropsu-Vehkapera, Hanna [1 ]
Harkonen, Janne [1 ]
Haapasalo, Harri [1 ]
机构
[1] Univ Oulu, Dept Ind Engn & Management, Oulu, Finland
关键词
E-maintenance; Data management; Data quality; Data combination; Maintenance data; Data acquisition; PREDICTIVE MAINTENANCE; KNOWLEDGE MANAGEMENT; SYSTEM; INFORMATION; TOOLS;
D O I
10.1108/JQME-03-2018-0018
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Purpose 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. 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.
引用
收藏
页码:378 / 396
页数:19
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