Page 159 - Towards A Sustainable Future 2024

Silversteel Engineering Pte Ltd

Introduction

Silversteel Engineering Pte. Ltd (Silversteel) specialises in to incorporate real-time information. Consequently, even
providing innovative automation solutions to clients across if a machine has recently undergone servicing, it remains
various industries. With a proven track record, Silversteel susceptible to sudden failures.
excels in delivering comprehensive turnkey solutions
that facilitate the complete automation of production In contrast, predictive maintenance is a proactive strategy
lines and seamless integration of new equipment into that harnesses live data to anticipate when a machine
existing systems. Leveraging its expertise in engineering will require repair. This enables the company to reduce
and automation, Silversteel empowers clients to enhance its carbon footprint through increased energy and
output levels, boost productivity, and improve efficiency operational efficiency of the machines, also leading to cost
whilst reducing waste and cutting costs by replacing manual savings. Predictive maintenance uses real-time data, past
labour with automated technology. performance records, and advanced analytics to anticipate
when a machin will likely fail. By providing real-time insights
into the condition of machines, this system empowers users
Objective to plan repairs proactively. This approach aims to minimises
downtime and extend the lifespan of the machinery.
The objective of the environmental review at Silversteel Ultimately, this strategy is expected to reduce reliance on
was to reduce electricity consumption. The ESI team aimed preventive maintenance, leading to fewer breakdowns and
to integrate proactive, intelligent current sensors into significant energy, cost and time savings.
Silversteel’s machinery to alert personnel to prolonged
spikes to increase electricity consumption during machine The steps required for implementing predictive maintenance
operation. This approach can potentially decrease associated include:
carbon emissions from excess machine power consumption
by aligning maintenance activities with machine usage.
1. Identification of critical assets:
The first step in implementing predictive maintenance is
identifying critical assets crucial to production that warrant
Environmental Review monitoring due to their significant repair or replacement
costs.
SilverSteel utilises a preventive maintenance approach
to monitor the servicing requirements of its production 2. Creation of a database:
machines. This method involves servicing assets at A database to record data collected from the assets
predetermined intervals based on historical failure rates, systematically. This involves gathering performance data to
past performance, simulations, and statistical modelling. track the health and condition of the assets.
While preventive maintenance is a logical strategy, it does
have limitations as it relies solely on historical data and fails

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