About the Project
Based on the big data, manufacturing process knowledge can be refined and filtered. A closed knowledge loop can be established from process planning to manufacturing and feedback to process planning . Advanced analytics can be used with historical process data to identify patterns, relationship among process parameters and then optimise the factors that prove to have greatest effect on yield. It will be particularly important in the era of Industry 4.0 to support the decision making in the future cyber-physical manufacturing system. The project will benefit the enterprise to keep the product quality and consistency, reduce the leading time for new products, boost innovation and accumulate knowledge to gain competitive advantages.
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