Engineering and R&D usually maintains a repository of specifications including quality standards. The efficacy of these specifications is rarely evaluated and not reviewed in concert with demand and capability data from supply chain and service systems.
Goals and Objectives
Offer visibility of manufacturing, supply chain, and service execution to ensure better alignment of quality standards to customer expectations to yield higher customer satisfaction, lower cost of adverse quality, lower product recall cost, and proactive and predictive service delivery.
– Hardware: Servers, storage, IoT, smartphones, tablets, and robotics
– Software: Cloud, CAD, PLM, ERP, MES, SLM, BDA, cognitive/AI, and security
– Services: Business services and 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.