1-2 / 2 hits
Project results in 2022
I have listed the achievements of the projects we delivered in 2022.
Aluminum casting gate cutting machine
Aluminum casting sand removal machine
GEAR NOISE CHECKER
AXEL SHAFT CHAMFERING MC
AUTO LOADER & PALLETIZING for CITIZEN automatic lathes
Work stocker for machining centers
Automatic inspection device for metal processed parts by automatic lathe
Short shot inspection device for injection molded parts
Vacuum dryer for aluminum parts
Pointer press device for automotive panels
Carbide material cutting machine (vertical, horizontal)
Robot supply and discharge device for hot press
Material supply device for centerless grinding machine
Chip separation device for lathe processed parts
Jig for LASER welding machine
Clamp jig for machining centers, including trial processing, debugging, and setup
Seating device for workpiece verification on NC lathe
Spindle for small grinding machines
Special chuck for NC lathe
Supply and discharge device for machining centers
In addition, we have received orders for the automation line for two-wheel CYLINDER HEAD de-staffing and the automation line for powder forming presses, scheduled for delivery in 2023.
Most recent update2024-02-23
The impact of AI on the manufacturing industry
Here are some examples of the advantages and challenges of AI:
Solving Labor Shortages: In the manufacturing industry, there is a labor shortage due to declining birthrates, aging populations, and talent outflow.
Cost Reduction & Productivity Improvement: The use of AI can reduce human errors and part losses, leading to cost reductions and productivity improvements.
Quality Improvement & Safety Enhancement: Utilizing AI for image and sound analysis can precisely inspect product quality and machinery conditions.
The challenges of AI include the following:
Technical Hurdles: The manufacturing industry requires AI capable of handling diverse data and environments, which necessitates advanced technology and knowledge for development and implementation. Compatibility with existing equipment and systems, as well as security considerations, are also important.
Human Hurdles: Training and education for personnel to adapt to AI-induced job changes are also necessary.
Ethical Hurdles: the collection and use of data by AI raise ethical issues, such as privacy and the protection of personal information.
In summary, AI is expected to have a significant impact on the manufacturing industry. The use of AI has the potential to lead to innovation and enhance competitiveness in the manufacturing sector, but it also comes with various challenges. Overcoming not just the technical hurdles but also the human and ethical hurdles.
Most recent update2024-02-23
1-2 / 2 hits