HONG KONG, June 25, 2021 /PRNewswire/ — As artificial intelligence technology looms as the next big thing to reshape the traditional manufacturing industry, market players, companies and universities should take a good, hard look at its revolutionary power and embrace the game-changing technology with more concerted efforts, experts told the China Daily Asia Leadership Roundtable on Friday.
The online event, themed “The Future of AI in Manufacturing Industries”, was jointly organized by the Tianjin Municipal People’s Government Information Office, China Daily, and Asia News Network.
“People have doubted that AI could go this far, yet in only five years, AI has entered into all kinds of services such as finance and manufacturing,” said Umar Saif, founder of Survey Auto, a big data service provider using machine learning and AI technology. He also is the chief digital officer at Jang Media Group.
He said that companies could predict market demand, and design the manufacturing process from production capacity to the supply chain through machine learning and big data analysis from the consumption data collected in mom-and-pop stores by distributors.
Neale G. O’Connor, professor and head of the Department of Accounting at Monash University Malaysia, highlighted the major challenge facing manufacturers, most of whom are small- and medium-sized enterprises, to scale up and move into intelligent manufacturing is the hard fact that owners themselves simply don’t want to combine with another factory to make it larger.
“There is a legacy mindset,” O’Connor said. “My point is that a factory doesn’t necessarily have to be fully robotized. Instead, it still can be labor-intensive. It’s just a matter of picking strategic parts of the production line to digitalize and collect more data.”
To revolutionize the factory, O’Connor said, there is no need for owners to reach out to a leading strategic consultancy like McKinsey & Co and Boston Consulting Group. Instead, he said, this is exactly where millions of undergraduate majors in engineering could come in.
“We are talking about 5 million undergraduates in China, a large portion of whom are engineering majors. Do give them an opportunity to come into the factory to do an internship or even to do a collaborative project,” he said.
O’Connor also underscored the concept of “cobots” to explain the employment impact of automation and intelligent manufacturing.
Cobots, or collaborative robots, are robots that work with people in a shared workspace. Known as people-focused robots, they are created with the goal of helping increase productivity, rather than replace human workers.
Citing a projection from the United Nations more than six years ago, O’Connor said there will be 40 million fewer manufacturing workers in China over the next decade.
“The actual supply of labor is naturally going down in the country,” he said. “I think a lot of factories are not at a stage where they will replace people with robots. Instead, they’ve got to replace the manual of data on the processes and replace it with a digital copy.”
Application of smart tech
Wang Yu, research fellow at the College of Intelligence and Computing of Tianjin University, provided several vivid examples of manufacturing companies using AI to upgrade their production.
He mentioned an old and well-known Tianjin bicycle manufacturer named Flying Pigeon, which used to need several hours to assemble one bicycle in the 1990s.
“That (speed) is not acceptable nowadays; that is too slow. But since about eight years ago, Flying Pigeon has transformed its manufacturing to intelligent manufacturing. What they can do is that they assemble a bicycle in 15 to 17 seconds,” Wang said.
Wang also said that adopting AI technology will help the country achieve its targets in reducing carbon emissions and reach carbon neutrality by 2060.
The application of high technologies, including AI manufacturing, is also taking off in emerging markets, which used to be known for their labor-intensive industries.
“Vietnam is now one of the prominent investment markets and it has for a long time been famous for its cheap labor. Many people would come to Vietnam for it, but things are improving as companies are adopting more high technologies,” said Ly Ly Cao, a reporter at Viet Nam News, noting that the government has launched supportive policies for companies adopting high technologies.
Grace Chai, a Shenzhen-based senior business reporter of China Daily Asia Pacific, recalled an interview experience with a highly educated AI professional, who at that time was learning how to weld from the workers of a welding factory every single day.
In his quest to develop an AI-empowered welding robot, the professional initially planned to find experienced welders with a certain degree of understanding of AI technology but failed. As a result, he had to learn the technique himself and translated the manufacturing jargon as well as workers’ accumulative experiences to codes and algorithms.
Shortage of talent
Chai highlighted the shortage of AI talent with high academic degrees and a keen willingness to devote themselves into the manufacturing industries. “Meanwhile, technicians from China’s vocational schools usually do not learn much about this advanced technology,” she said.
Citing the statistics from market intelligence provider IDC, Chai said the manufacturing industry accounted for only 9.5 percent of China’s total AI market in 2018. The top three are the government, the internet, and finance industries.
Chai said she firmly believes that the development of intelligent technology is primarily focused on talent, especially in manufacturing industries.
Local governments in China have been implementing innovation-driven development strategies and building “smart cities” and smart factories, she said. To reach the goal, it is imperative to cultivate and attract more AI experts from around world, she added.
“To provide high-end talent for the mission, local universities have already taken effective actions,” Chai said. “I have learned six higher education institutions in the city have set up dedicated colleges of artificial intelligence.”
By Luo Weiteng, Sophie He, and Zeng Xinlan in Hong Kong
SOURCE China Daily