On 17 October 2017, Dr. Rozzeta Dolah was invited to present a talk at Massachusetts Institute of Technology (MIT), USA on “Variation Measurement and Improvement in Industry/ Engineering Application”. The talk was attended by MIT professors, undergraduate and graduate students from engineering faculty. As there is a very little guidance for the practitioners/ engineers to select an appropriate strategy of robust measurement systems – What, When & Where to use Taguchi method versus other experimental design method of eliminating noise and variations, the talk has provided a solid underpinning of Taguchi method in controlling variation for measurement system. This is crucial to determine the degree of optimization, resolution required, time and costs constraints, nature of the problem, and robustness approach for a given problem in a process. The talk covered the wide spectrum of robust quality engineering such as essential parameters in data analysis, control of variation in measurement process, controlling defects through six sigma methodology and variation elimination. These elements undoubtedly provide the guidelines of what a robust measurement system should be in ensuring the measurement to represent the measurand. Therefore, the gap between theoretical uncertainty engineering and the measurement in real practice is reduced. Measurement errors, difficulties in determining the noise parameters, and confusion between the appropriate strategy to use are among the questions arised from the audience.
Profile:
Dr. Rozzeta Dolah is a senior lecturer at UTM Razak School of Engineering and Advanced Technology, Universiti Teknologi Malaysia. She is currently pursuing her post doctoral at Massachusetts Institute of Technology, MIT, USA in Mechanical Engineering department under Microfluidics and Nanofluidics Research laboratory. Her research interest involves renewable energy in biomass conversion and nanotechnology transport phenomena using robust quality engineering including Taguchi method optimization. She is a Chartered Engineer registered in UK, with Ph.D specialized in quality engineering from Meiji University, Japan. Her experience in quality engineering was gained under the direct tutelage of the pioneer of Taguchi method, son of the late Dr. Taguchi. Prior to being in academic field, she has many years of experience as process engineer in industry, where she involved in multiple Black Belt Six Sigma projects, and solved problems through defects and variation elimination using MINITAB. As a member of Japan’s Quality Engineering Society, she led many quality improvement projects through the implementation of Taguchi Method (Robust Quality Engineering), Design of Experiments (DOE), and Lean Six Sigma.
3rd International Conference on Telematics and Future Generation Networks
TAFGEN2020 is organised by the Department of Engineering, Razak Faculty of Technology and Informatics, Universiti Teknologi Malaysia (UTM), Malaysia.Accepted papers will be published in Scopus-indexed journals. Authors are invited to submit original, unpublished...
3rd International Conference on Smart Sensors and Application (ICSSA)
The 2020 3rd International Conference on Smart Sensors and Application (ICSSA) will be held in Kuala Lumpur, Malaysia on the 7-9th April 2020. The conference provides dialogue platforms amongst researchers and industrial practitioners in the various subsets topic of...
Our Front Page
Good news!!! We have launched our new website in order to make us sustain in this challenging world with the concept of minimalist and student-centric. What do you think of our new design? Feel free to leave some feedback here.
PHD GRANT
Deep Reinforcement Learning for Autonomous Vehicles Fog Computing The PhD student will be supervised by UTM lecturer based in Kuala Lumpur and co-supervised by a prominent Professor from Nanyang Technology University (NTU), Singapore. **The PhD candidate MUST register...