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Minimising Design of Experiments (DoE) for Process Optimisation Using Data Mining Approach
This webinar is to introduce SIMTech’s unique data mining course targeted to help engineers solve manufacturing problems. In particularly, we shall share how it can be used to minimise Design of Experiments (DoE) for process optimisation with industrial case studies.

The objectives are:
-. To share with participants, the importance of using data to generate insights to their operations.
-. To share success stories to encourage the industry partners to embark on the journey of using datamining to help improve their operations, reduce inefficiencies.
-. To share with participants on how to use Datamining in Smart DOE for process optimization.
-. To share and promote the data mining course in SIMTech, in which they will able to learn and use data mining knowledge they learn to solve actual problems they face.

-. Company management with great vision for company to improve and move to more efficient way of operation, with a target to use data to help make better decisions.
-. Engineers who works with operational data and would like to use data mining to help improve their work efficiency and quality
-. Employees with an inquisitive mind, looking into ways to help improve their work efficiency
-. Researchers who want to learn about practical case studies of how data mining is used to help the industry to solve actual difficulties


10.00am | Welcome and Introduction on MPTC/SIMTech
by Mr Wong Ming Mao, Deputy Director, MPTC, SIMTech

10.10am | Application of Data Mining for Smart DOE in Singapore
by Dr Li Xiang, Senior Scientist, SIMTech

10.40am | SIMTech Data Mining Course Structure and Funding
by Ms Ge Hailin, Senior Research Engineer, SIMTech

10.45am | Q&A

11.00am | End

May 7, 2021 10:00 AM in Singapore

Webinar is over, you cannot register now. If you have any questions, please contact Webinar host: Knowledge Transfer Office @ SIMTech.