Independent tools perform root cause analysis of defect data, and are not well integrated with in-line quality management systems.
Goals and Objectives
Better error proofing lowers the overall cost of adverse quality, particularly repeat errors.
Hardware: Smartphones, tablets, IoT
Software: Cloud, PLM, Cognitive/AI, BDA, MES, EAM
Services: Business services, IT services
Use Case Summary
Connected quality data feeds an analytic model that can support automated Six Sigma analysis of quality anomalies with the ability to adjust processes in an automated way. This quality analysis is integrated back to enginering & R&D for necessary changes.