ABB, HASCO Floats JV To Drive Smart Manufacturing In Auto Industry

Mobility Outlook Bureau
05 Jan 2022
11:15 AM
1 Min Read

The JV will build on the existing successful relationship between the two companies, leading to the crucial development of highly flexible and sustainable auto parts manufacturing within HASCO’s operations.


ABB

Automation expert ABB and leading automotive parts supplier in China - HASCO announce the creation of a JV to drive the next generation of smart manufacturing in China’s automotive industry.

The partnership between the two companies, which includes a 40% stake by ABB in the joint venture, will expand the use of smart technologies and artificial intelligence within the industry. Both parties agreed not to disclose any further details about the investment.

As the automotive industry’s transition towards electric vehicles gathers pace, parts manufacturers must increasingly invest in flexible facilities that can respond to rapidly changing demands and trends. 

Sami Atiya, President, ABB Robotics & Discrete Automation, said, “With the automotive industry facing its greatest transformation since its inception and sales of electric vehicles set to overtake combustion vehicles in many parts of the world by 2035, there is a clear need to support the transition of the industry. This joint venture will enable us to further develop HASCO’s leading position with automated solutions that benefit customers in China which – as one of the largest automotive manufacturing marketplaces – will play a pivotal role in delivering a sustainable transport future.”

The new joint venture, expected to commence operation in Q2, 2022, will build on both partners’ expertise and manufacturing experience to realise the enormous potential for increasing efficiency within the auto parts industry. As a result, customers in various industries, from the vehicle body to chassis systems, power and battery electronics to e-drive systems, will benefit from new, highly efficient and environmentally sustainable manufacturing methods. 

Share This Page