Sustainable manufacturing, maintenance policies, prognostics and health management: A literature review
•Proactive and sustainable maintenance policies are part of sustainable manufacturing. Industry 4.0 is directly concerned.•Anticipating the arrival of a failure is essential.•Approaches and methods for prognostics and health management provide many answers.•This paper provides a full update on the v...
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Veröffentlicht in: | Reliability engineering & system safety 2022-02, Vol.218, p.108140, Article 108140 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | •Proactive and sustainable maintenance policies are part of sustainable manufacturing. Industry 4.0 is directly concerned.•Anticipating the arrival of a failure is essential.•Approaches and methods for prognostics and health management provide many answers.•This paper provides a full update on the various indicators and methods that may respond to the proposed theme.
The increasing complexity of industrial processes, the continuing search for higher profits, and increasingly demanding production constraints call for the implementation of a proactive and sustainable maintenance policy. Adapting maintenance policies that integrate the concepts and obligations of so-called sustainable development is a real challenge for companies. This can concern proactive maintenance operations aimed at providing a balance in the social dimension as well as the environmental and economic dimensions. Such a policy requires the introduction of substantial upstream analysis and the establishment of tools to be able to validate process performance continuity. Consequently, and in an Industry 4.0 context, being able to anticipate a system breakdown based on the estimation of its degradation while proposing a time window for a maintenance intervention has become essential. This anticipation aims to avoid failure situations with particularly significant impacts. Approaches and methods for prognostics and health management provide many answers. This paper provides a full update on the various indicators and methods that may respond to the proposed theme. The presentation of knowledge-based methods and data analysis will guide the reader through the research process. |
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ISSN: | 0951-8320 1879-0836 |
DOI: | 10.1016/j.ress.2021.108140 |