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Data mining techniques are increasingly important for data-intensive manufacturing operations as the industry faces a number of challenges such as equipment and material condition variations, trial-and-error in process parameter setting, product quality inconsistencies, low capability of root cause discovery, process performance prediction and process parameters/recipe auto tuning. By applying data mining techniques, a company can improve its product quality and manufacturing+ Read More

About Singapore Institute of Manufacturing Technology

SIMTech’s Knowledge Transfer Office (KTO) has been established to provide unique technology and case study-based training for manufacturing specialists, engineers, managers, as well as other industry professionals and executives. All our training courses, conducted in close collaboration with the Singapore Workforce Development Agency (WDA), draw extensively on our in-house cutting-edge manufacturing knowledge, established through years of industrial collaborations, industry experience and research, backed by state-of-the art manufacturing facilities. In recognition of our outstanding contribution to the development and expansion of the Singapore’s Workforce Skills Qualifications (WSQ) system, the WDA has awarded SIMTech with the WSQ Distinguished Partner Accolade.

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