Events

Big Data Analytics Workshop and Productivity Roundtable

Date: 22 Aug 2013 - 22 Aug 2013

Venue: SIMTech Training Room 1, Tower Block, level 3

Introduction
Nowadays, advances in computers and manufacturing techniques have made it easy to collect and store all kinds of data and this growing volume is becoming ubiquitous in manufacturing enterprises. The term “big data” represents the efforts of businesses to manage extremely large and complex sets of information and turn them into usable and actionable business intelligence for a new wave of productivity growth and innovation. This workshop serves as a forum for the industry community to gain insight on some recent advances in big data research and technology development, and also for the research community to gain insight on industry needs and challenges in the data analytics.  

In the first part of the workshop, Randy from IBM Singapore will share with participants the big data analytics technology in manufacturing, Professor Ng from NTU will talk about how this new cyber-infrastructure will transform manufacturing into a seamless ecosystem of design, operation, and business with zero risk and zero emissions and Dr Ou from SIMTech will share about real-time condition monitoring research. In the second part of the workshop, there will be a facilitated round table discussion to gather industry needs and challenges. We like to invite industry practitioners in Singapore to share with us their manufacturing related issues and challenges. Your valuable inputs will guide us in developing targeted big data analytics technologies that can enable you to innovate, compete and gain productivity. 

Programme

1400        Welcome Address by Dr Gan Oon Peen, Group Manager, Manufacturing Execution &
               Control Group, SIMTech

1410         Analytics - the Manufacturing Advantage by Mr Randy Sng, Business Development
                Executive, IBM Asean General Business

1430         Big Data Analytics for Manufacturing by Dr Andrew Ng Wee Keong, Associate Chair
                (Research), School of Computer Engineering, Division of Software & Information
                Systems, NTU.

1450         Condition-based SPC for Big Data Anomaly Detection in Prescriptive Analytics by Dr Ou
                Yanjing, Scientist, Manufacturing Execution & Control Group, SIMTech

1510         Tea-Break & Networking

1540         Roundtable Discussion

1700         End of Workshop

 
Who Should Attend
Directors, Managers, Engineers, Supervisors from Semiconductor, Pharmaceutical, Aerospace, Logistics and Manufacturing sectors.

Registration
Registration for this workshop is free of charge. To reserve a place, please register online.

Contact Us

Please contact any of the following:

Dr Ou Yanjing, Tel: 6793 8429, Email: ouyj@SIMTech.a-star.edu.sg

Dr Li Xiang, Tel: 6793 8429, Email: xli@simtech.a-star.edu.sg

Click here for SIMTech Location Map

URL :http://www.SIMTech.a-star.edu.sg/media/209/SIMTechLocationMap.pdf