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Risk evaluation for industrial smart product-service systems: An integrated method considering failure mode correlations
•A method to assess the failure mode of industrial smart product-service system is developed.•The method considers independence between failure modes and risk propagation in system.•The method considers the attenuation effect in influence propagation of a failure mode in system.•A case study of smar...
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Published in: | Advanced engineering informatics 2022-10, Vol.54, p.101734, Article 101734 |
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Main Authors: | , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | •A method to assess the failure mode of industrial smart product-service system is developed.•The method considers independence between failure modes and risk propagation in system.•The method considers the attenuation effect in influence propagation of a failure mode in system.•A case study of smart 3D printer service system is used to validate the effectiveness of the method.
Industrial smart product-service systems (ISPS2) is a complex and dynamic ICT-based ecosystem of value co-creation among stakeholders, making the ISPS2 implementation a demanding and risky process. Previous studies often use Failure Modes and Effects Analysis (FMEA) approach to identify potential risks of failure modes to ensure successful implementation of ISPS2. However, previous FMEA methods assumed independence between potential failure modes (FMs). Moreover, the previous FMEA methods omit the propagation of the impact of FMs with different initial importance in an ISPS2, which will influence the result accuracy of risk evaluation. To solve these problems, a novel FMEA based on strength-influence analysis of FMs is provided. The proposed method not only considers the attenuation effect of failure mode impact but also the correlation between FMs. To verify the effectiveness of the proposed method, this research applies it to the case of the smart 3D printing service system. |
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ISSN: | 1474-0346 1873-5320 |
DOI: | 10.1016/j.aei.2022.101734 |