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Advantages and potential challenges of data management in e-maintenance

Advantages and potential challenges of data management in e-maintenance PurposeThe 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/approachThe 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.FindingsThis 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/implicationsSince 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 implicationsUnderstanding the e-maintenance-related challenges helps maintenance managers and other involved stakeholders in e-maintenance systems to better solve the challenges.Originality/valueThe 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Quality in Maintenance Engineering Emerald Publishing

Advantages and potential challenges of data management in e-maintenance

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Publisher
Emerald Publishing
Copyright
Copyright © Emerald Group Publishing Limited
ISSN
1355-2511
DOI
10.1108/JQME-03-2018-0018
Publisher site
See Article on Publisher Site

Abstract

PurposeThe 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/approachThe 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.FindingsThis 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/implicationsSince 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 implicationsUnderstanding the e-maintenance-related challenges helps maintenance managers and other involved stakeholders in e-maintenance systems to better solve the challenges.Originality/valueThe 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.

Journal

Journal of Quality in Maintenance EngineeringEmerald Publishing

Published: Aug 16, 2019

References

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