||“I was appointed to lead the LEAN committee in my company,
Craftmark. Equipped with the various LEAN techniques, the committee
came together. The committee brainstormed and implemented 14
projects to streamline and improve the company’s operations.
To date, the committee has completed 9 of these projects, one of
which I have worked closely with the Sales team to digitise the payroll
process. This particular project has helped the HR Department to
reduce the payroll processing time by 63%.”
Ms Liang Sophen
Human Resource Manager
The Craftmark Group
Please visit here to view Ms Liang's video on YouTube.
|“Craftmark believes in continuous learning and improvement, and
have always encouraged our staff to do so. We selected and sent
some of our staff to attend SIMTech’s LEAN course to enhance on their
personal and professional growth.
As Ms Liang has recently joined the company, we appointed her
to lead Craftmark’s LEAN committee as an opportunity for her to
network and learn more about the company through interacting with
her peers from other departments. Ms Liang has proved herself to be
an effective leader. She guided her fellow LEAN team members to
apply the techniques they have picked up in the course in Craftmark.
We are glad that she has also motivated her peers to embark on their
individual improvement projects and would like to thank SIMTech
for guiding the committee in Craftmark’s continuous improvement
Mrs Tan Ee Leng
The Craftmark Group
|“I signed up for this course to pick up new methods in assessing my
company’s, Carlton Hotel Singapore, need in managing energy usage
and determining the correct load profile for the upcoming chillers’
replacement work. Through this course, I learnt how to perform more
accurate data collection and analysis for Carlton’s existing chillers’
operation, load profile and each chiller’s efficiency. I also learnt how to
make use of SIMTech’s E²MAS and SIMProg software to calculate the
refrigerant tonnage required to cool the hotel in an efficient manner.
With this skill, I can forecast cooling loads based on past hotel
occupancies and activities to optimise the chillers’ operation, reducing
energy wastage and lowering the maintenance costs. I have started to
optimise the chillers’ operation by switching off some chillers at night
and the average savings per day is about 5%, which is equivalent to
approximately $36,000/annum based on a tariff of $0.15/kWh.”
Mr Tham Weng Fatt, Joseph
Director of Engineering
Carlton Hotel Singapore
Please visit here to view Mr Tham's video on YouTube.
||“The data mining course by SIMTech is very relevant to what I am
doing at HPE and I am able to apply what I have learnt in my class
to overcome the challenges I face at work. Sometimes, we have
customers that request us to expedite their orders and ask us to
provide the earliest ship-out date from the factory. One of the main
challenges to estimate the ship-out date is the hardware function
testing time which varies with the configuration that the customer
has ordered. So we need a tool that can help us to predict the function
testing time faster with high accuracy.
Through applying what I have learnt during the course, my colleagues
and I, with guidance from SIMTech’s Mentor, were able to build a
predictive model to predict the testing time based on the customer’s
configuration. By using the data mining methods, we are now able to
predict the function testing time needed faster with high accuracy of
more than 90%. This helped the company to provide a more accurate
commitment date to the customer. The company’s management is
impressed by the work that we have done and is intending to send
my colleagues to attend the same data mining course that I have
Mr Ng Tiong Chye
Hewlett Packard Enterprise Singapore Pte Ltd
Please visit here to view Mr Ng's video on YouTube.