ABB introduced that it’s investing US$150 million to construct the world’s most superior, automated and versatile robotics manufacturing facility. This new manufacturing heart in Shanghai, China, will mix the corporate’s related digital applied sciences (together with its ABB Ability options), state-of-the-art collaborative robotics and cutting-edge synthetic intelligence analysis to create probably the most refined “manufacturing facility of the long run.” It is anticipated to start working by the top of 2020.
This funding marks a big milestone for ABB as China’s #1 robotics producer and a essential associate on this planet’s largest robotics market. In 2017, one among each three robots bought on this planet went to China. The firm has invested US$2.four billion in China since 1992 and has labored within the nation for greater than 100 years.
The new Shanghai manufacturing facility will function quite a few machine studying, digital and collaborative options to make it probably the most superior manufacturing facility within the robotics business. In addition, an onsite R&D heart will assist speed up ABB’s improvements in synthetic intelligence.
Using a brand new, international design strategy that ABB introduced earlier this yr, the manufacturing facility will be capable of dramatically enhance each the breadth (sort of robots) and depth (variants of every sort) of robots that may be made onsite, permitting better and sooner customization to fulfill the wants of consumers. ABB will be capable of mix this expanded portfolio of robotics into an virtually limitless variety of tailor-made options for purchasers.
The total Shanghai manufacturing facility can be modeled as a digital twin to offer managers, engineers, operators and upkeep consultants modern instruments to watch and assess actual time operations. This consists of gathering and analyzing intelligence via ABB Ability Connected Services on the well being and efficiency of ABB robots within the manufacturing facility to make sure early identification of potential anomalies, keep away from expensive downtime and maximize efficiency, reliability and power utilization. (Source and picture: ABB)
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