Advanced statistical algorithms detect developing quality problems (at a low rate of false alarms) and can alert to quality issues at any stage of manufacturing or production process.
Detect process and product quality issues earlier and more definitively in comparison to statistical process control methods.
Assess quality of materials or components to prevent introduction of substandard materials. Determine if components or products manufactured during a critical step conform to specifications.
Monitor production steps to determine if equipment is properly calibrated. Determine if process input and output variables remain within target ranges. Alert in event of unfavorable changes.
Faster deployment via secure IBM SoftLayer data centers that manage the entire offering infrastructure with automatic application provisioning and registration services.