Page 165 - Towards A Sustainable Future 2024

Student’s Reflection

Embarking on the project on predictive maintenance for machines with SilverSteel has
been an exhilarating journey for me. The opportunity to collaborate with such a reputable
machine manufacturing company has filled me with enthusiasm and motivation. In
formulating our approach, I proposed the installation of current sensors in the machines
to provide real-time alerts on any prolonged spikes in current usage. This departure from
SilverSteel’s current reliance on past data for preventive maintenance to using live data
for predictive maintenance holds immense potential for the company.

The transition to predictive maintenance holds the promise of significant benefits for
SilverSteel, including reduced carbon emissions and operational costs. By leveraging
sensors to capture real-time data on equipment conditions, we are able to delve into
failure mode analysis, establish comprehensive databases, and employ machine learning
algorithms to accurately forecast asset failures. I am particularly excited about the
prospect of fewer machine failures and increased uptime, which directly translate to
enhanced production efficiency. Witnessing the positive impact that our project will have
Raymond Lim Hao Yang on SilverSteel’s operations and environmental footprint is something I eagerly anticipate.
(Leader)
As the project progresses, I am committed to working diligently with my team to ensure its
successful implementation and to deliver tangible results for SilverSteel. This experience
has been invaluable, and I look forward to contributing further to the advancement of
predictive maintenance in the manufacturing industry to reduce environmental impacts
and enhance resource utilisation efficiency.

References

1. https://learn.microsoft.com/en-us/azure/architecture/industries/manufacturing/predictive-maintenance-overview
2. https://safetyculture.com/topics/predictive-maintenance/
3. https://ftmaintenance.com/maintenance-management/what-is-predictive-maintenance/
4. https://limblecmms.com/predictive-maintenance/
5. https://www.channelnewsasia.com/singapore/singapore-electricity-sources-natural-gas-renewable-solar-energy-
import-3252076#:~:text=About%2095%20per%20cent%20of,it%20releases%20into%20the%20atmosphere.
6. https://www.ema.gov.sg/Gas_Market_Overview.aspx#:~:text=Traditionally%2C%20most%20of%20Singapore’s%20
natural,and%20secure%20its%20energy%20sources.

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