A comparative study of statistical and soft computing techniques for reliability prediction of automotive manufacturing

H Soltanali, A Rohani, MH Abbaspour-Fard… - Applied Soft …, 2021 - Elsevier
Reliability and safety analyses are the most important activities for reducing risk of failure
events and upgrading availability of manufacturing industries. The traditional statistical
models have been currently used; however, the complexity growth and diversity of systems
as well as uncertainty of their functions result in extreme difficulties in analyzing the reliability
by such models. To overcome such drawbacks, the soft computing techniques are useful
alternative for modeling of complex systems and prediction applications. Hence, this paper …

[PDF][PDF] A comparative study of statistical and soft computing techniques for reliability prediction ofautomotive manufacturing

JT Farinha - researchgate.net
Increasing systems” complexity and the growing scale of manufacturing industries have
been threatening system safety and reliability [1, 2]. To overcome such issues, the so-called
Industrial Cyber-Physical System (ICPS) platforms leading toward intelligent and smart
digitalization manufacturing, in the era of Industry 40 has become the central object of
investigation in both industrial and academic researches [3, 4], The ICPS attempts to
represent some novel approaches for high level predicting and monitoring asset …
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