The
seminar named “Stepping into Smart Manufacturing with AI” was organized by HKPC
on 28th Sep 2018. Today’s
consumers pursue customized, personalized, and unique products over
standardized ones in the past. We are
looking for digitalization, automation, machine learning, computer vision, and
other fields of Artificial Intelligence (AI) to meet the current dynamic market
needs and keep abreast of the new industrial trends for business
sustainability. This seminar gave
insights of how to move forward to Smart Manufacturing and appropriate
application. I met one of speaker - Dr.
Alvin LAI (Director, Leo Paper Group) and I proposed to send some research students
for practice industrial big data analysis. Then we took a photo for memory.
The
first speaker was Mr. Ken Lam (Senior Consultant, i4.0 & Additive
Manufacturing, HKPC) and his topic named “Trend & Overview of Industry 4.0
& Smart Manufacturing”. Firstly, he
briefed the global industrial trend that included information trend, technology
trend and market trend. He also reviewed
the evolution of industrial revolution.
Then he
briefed the definition of Industrie 4.0 from acatech (Nation Academy of Science
and Engineering, German). It is a new
level of organization and control over the entire value chain of the life cycle
of products for increasing individualized customer requirements.
After
that Mr. Lam introduced the Framework of Industry 4.0 from Fraunhofer IPT. It named Smart i4.0 Navigator. Four technical perspectives were Sensor,
Network, Data and HMI (Human Machine Interface).
HKPC
employed acatech Industrie 4.0 maturity index and developed HKPC i4.0
recognition programme through five steps below:
i)
Evaluation of i4.0 maturity level
ii)
i4.0 certified training
iii)
i4.0 strategic roadmap identification
iv)
i4.0 Pilot Project Implementation
v)
Smart Operation & Manufacturing Recognition
One of
key management tools for i4.0 was Lean and then Mr. Lam introduced the Digital
Lean Service that was data driven for process optimization. Finally, Mr. Lam said there were more than 30
enterprises under industry 4.0 migration and 2 of them would acquire level 1i
recognition in 2018. 
The
second speaker was Dr. Alvin Lai (Director, OEM Business & Operations, Leo
Paper Group) and his presentation entitled “Road to Smart Manufacturing”. In the beginning, he briefed Leo Group
history since 1982. He gave some data
that they had staff 28,000 in 2008 and then down to 16,000 staff in 2018 but
the productivity increase 40% compared with 2008.
They faced different challenges in four dimensions that were technology rapid change (e.g. AI/AR), policy environment (e.g. US-China trade war), Supply Chain changing and OEM successor problem. Dr. Lai said their strategies to enhance the competitive edge in three directions included competence of operation, business and manufacturing.
Dr. Lai
reviewed the world industry transformation strategies. Then he shared his digital transformation
roadmap.
Reference
to i4.0, there were vertical and horizontal integration using different IT
technologies and involved the whole supply chain.
He
shared some projects in his company such as no human factory.
At the
end, he proposed the Leagile Manufacturing included AI data decision,
automation, CPS, etc.
The
third speaker was Mr. Ken Law (CEO, MotherApp) and his topic was “Using
Artificial Intelligence (AI) to analyze shop floor operation in real time”.
Firstly, Mr. Law introduced his company which transformed from App company to
AI service company.
Mr. Law
briefed the technology trend form AI, Machine Learning and Deep Learning.
Then he
demonstrated some projects using visual and AI analytics to identify quality
problem through CCTV monitoring in the factory.
After
teaching the AI programming (about 50000 photos), it was able to identify the
problem and made analysis in real time.
Video demonstration was showed.
Finally,
Mr. Law introduced the coming WeChat Support in their service.
The last
speaker was Mr. Thomas Cheung (PowerAI Business Development Manager, IBM
China/HK Ltd.) and his topic named “IBM AI Case Sharing”. Mr. Cheung briefed our industry continued to
transform through waves of change from Transactional Database to Business Intelligence
to Big Data & Analytics and then to Actionable Insight in Context.
Then he
mentioned four competence in the cognitive systems and they were Understand,
reasoning, Learning and Interactive. And
then he introduced different AI example in different industries.
In
manufacturing, AI cases (e.g mobile glass and solar panel) for quality control
and inspection were found more popular and much higher efficiency than human
work in the past.
Lastly, Mr. Cheung demonstrated some application cases to us.
20180914: Industry 4.0 Interactive League Platform - https://qualityalchemist.blogspot.com/2018/09/industry-40-interactive-league-platform.html
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