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Samsung Electro-Mechanics Uses AI to Minimize Defective MLCCs
Turning the Plant into a Smart Factory
Samsung Electro-Mechanics Uses AI to Minimize Defective MLCCs
  • By Kim Eun-jin
  • December 13, 2019, 09:49
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Tiny multilayer ceramic capacitors (MLCCs) put on a semiconductor

Samsung Electro-Mechanics has adopted artificial intelligence (AI) to detect defects in the process of producing 0.1-mm multilayer ceramic capacitors (MLCC), which is thinner than a strand of hair. The company looks to reduce the defect rate of ultra-small products drastically.

Samsung Electro-Mechanics said on Dec. 12 that it planned to build a smart factory that would apply AI to five main processes, such as inspection, quality control, equipment, design, and logistics.

The company has provided training on AI to engineers selected from each business unit for nine months since last year. Then, they have carried out 20 tasks in the five business processes on the company’s integrated AI platform.

With the introduction of AI, the company expects to save as much as 104.1 billion won (US$88 million) over four years by increasing the production yield and shortening the development span.

Some AI functions are already being applied to business processes. One example is the introduction of an AI-based defect detector to the MLCC production process.