Accurate and timely insight for quality control and warranty management

Analytics and cognitive capabilities help identify potential quality problems earlier and more definitively than traditional statistical process control and manual inspection processes to help improve manufacturing yield and reduce overall warranty costs

Cognitive processes and operations

Apply the benefits of algorithms and machine learning specifically tailored to the needs of quality, operations and warranty to help improve yield, increase throughput and identify sources of warranty problems

Product and process quality

IBM Prescriptive Quality 

A SaaS solution that provides early and more definitive detection of quality issues compared to traditional statistical process control (SPC) methods. The solution provides credible, actionable alerts, directing focus on only those issues that matter, and preventing subtle - but real - problems from going undetected or being ignored. 

Inspection processes

IBM Visual Insights

Employ cognitive capabilities to review and analyze parts, components and products, and identify defects by matching patterns to images of defects previously analyzed and classified. Deployment through edge computing on the factory floor enables rapid image capture, analysis and consistent identification of manufacturing defects.

Client success

      

Shenzhen China Star Optoelectronics Technology Co., Ltd.

To take LCD manufacturing to the next level, Shenzhen China Star Optoelectronics Technology Co., Ltd. (CSOT) partnered with IBM® to accelerate and automate product inspections—boosting production quality and throughput, while cutting costs

Resources

      

Connected Operations in the IoT era: the asset management edge

Learn how best-in-class manufacturers have adopted IoT technologies

IBM brings cognition to the factory floor

Learn how cognitive capabilities can improve inspection processes

From reactive to proactive quality management with IoT

IBM’s QEWS algorithm identifies quality problems earlier and more definitively

Quality control: a transformational opportunity with IoT

Learn about an algorithmically better approach to reduce cost of quality