Engineering & R&D usually maintains a repository of specifications including quality standards. The efficacy of these specifications is rarely evaluated.
Goals and Objectives
Visibility of manufacturing & service execution to ensure better alignment of quality standards to customer expectations yields higher customer satisfaction, lower cost of adverse quality, lower product recall cost, and proactive and predictive service delivery.
Hardware: Servers, storage, IoT, smartphones, tablets, Robotics
Software: Cloud, CAD, PLM, ERP, MES, SLM, BDA, Cognitive/AI, security
Services: Business services, IT services
Use Case Summary
Integrated specification repository can adjust robotic and connected quality metrology. There is ongoing case-based learning of the efficacy of quality specifications in meeting customer requirements. Intelligence and analysis on manufacturing execution quality is embedded in engineering & R&D systems, & there is an open line of feedback from production and field service to R&D/engineering.