Strategic Data Analytics in Operational Testing
This course introduces strategies for data collection and analysis aimed at efficient empirical studies of new, unfamiliar or complex systems commonly encountered in civilian as well as military applications. The objective is to establish optimal operational conditions and parameters of such systems without costly and lengthy trials and modifications. Familiarity with these strategies is essential for meeting requirements such as time-to-deployment or time-to-delivery, as well as operational cost-effectiveness.
This course aims at imparting to the participants the essence of data-based strategies and procedures for rapid understanding and optimal operation of hardware or man-machine systems.
At the end of this course, participants will understand the role and use of data-based analytical techniques not available in conventional courses of study for diplomas and degrees. After the first half of the course, participants are encouraged to bring their cases for discussion, illustration, and possible solution.
- Performance improvement and optimisation
- Approach to new, unfamiliar, or complex systems
- Strategic empirical studies and data analytics
- Theoretical vs real-world performance
- Limitations of conventional methods
- Purposes, types and uses of models
- Design and implementation of empirical studies
- Handling the uncontrollable or unpredictable
- Efficient characterisation of multiple parameters
Analysis and Optimisation
- Multiple-objective systems
- Software selection and demonstration
- Further approaches and techniques
Who Should Attend
Managers and personnel with responsibilities for studying or operating hardware or man-machine systems, as well as those seeking data-based strategies for problem solving and decision-making. The discussions will be practical, generic and not confined to any particular technical operations.
At least “O” level mathematics and familiarity with Windows operating system.
This course will be conducted online via zoom.
Participants must have a laptop or computer with webcam, headset (microphone and headphones) and a good internet connection.
Goh Thong Ngee
GOH Thong Ngee, PhD, PE, of the Industrial Systems Engineering and Management is formerly Department Head and Dean of Engineering at the National University of Singapore. He is a Founding Fellow of the Academy of Engineering Singapore and is the Founding President of the Singapore Institute of Industrial Engineering. A GEcertified Six Sigma trainer, Prof Goh has been named “Educator of the Year” by the IEEE Engineering Management Society, and is recipient of the International Academy for Quality Masing Book Prize for co-authoring the book: Six Sigma – Advanced Tools for Black Belts and Master Black Belts (John Wiley); he is also a recipient of the William Hunter Award as well as the Eugene Grant Medal of the American Society for Quality.
Prof Goh has served variously as advisory board member, external examiner or reviewer for universities and research agencies in Asia, Europe, North America and Australia. He is a former board member of the Singapore Productivity Board and of the Defence Science and Technology Agency. With several decades’ track record in teaching, research as well as consulting and training in a wide spectrum of organisations, Prof Goh is a frequent invited speaker at professional conferences and corporate meetings.