Hitachi Vantara has announced an expanded set of offerings to help manufacturers accelerate Manufacturing 4.0 initiatives and to assist with safely restarting production in the wake of the COVID-19 pandemic.
Dramatic variations in production capacity and demand illustrate the new stresses being placed on manufacturing supply chains and production planning: after the onset of COVID-19, industrial production in the United States experienced the steepest decline since 1946, yet daily U.S. e-commerce sales jumped 49%.
Hitachi Vantara’s new manufacturing practice and its expanded portfolio of digital manufacturing solutions, services and consulting services aims to help manufacturers adapt to these immediate challenges. It also promises to help manufacturers lay the foundations for the digitalization of health, safety and environment (HS&E), asset insights, predictive quality, and operations optimization.
Worker health and safety are primary concerns for manufacturers restarting their operations during COVID-19. The expanded portfolio of digital solutions for manufacturing from Hitachi Vantara includes health, safety and environment solutions leveraging Lumada Video Insights technologies which can be configured for applications such as elevated body temperature identification and hand-washing detection.
Thermal cameras and lidar technology can detect the temperature of a person from a distance, so that workers can be screened non-intrusively for symptoms of COVID-19 and workspaces can be monitored for compliance with distancing recommendations.
Hitachi Vantara has also announced the expansion of Lumada Manufacturing Insights solutions with new domains that help manufacturers address health, safety and environment, supply chain optimization, asset insights, predictive quality, and operations optimization.
Lumada Manufacturing Insights is a portfolio of industrial internet-of-things (IoT) solutions that empowers manufacturers to improve operations through data-driven insights. The portfolio delivers benefits such as improved overall equipment effectiveness (OEE), superior operations efficiency, and product quality optimization through predictive and prescriptive insights.