Why Import Smart Manufacturing?
In the era when market trends are changing rapidly, and AI, 5G, big data and other digital transformations seem to be inevitable. Businesses are attempting to introduce AI, or build screens to monitor factories, thinking that this is smart manufacturing. However, even with enormous investments on new technology, without knowing the actual needs, businesses might be trapped in the dilemma of not knowing how to utilize the technology at hand.
iMF 4.0 Intelligent ManuFactory System
Smart manufacturing solutions tailored for the manufacturing industry
"iMF 4.0 Intelligent ManuFactory System" is mounted on the injection molding machine, and connects with the auxiliary information to achieve autonomous adjustment and control of quality parameters. The system can use intelligent sensing modules to improve product yield and reduce production waste, and achieve advance warning and avoid unexpected shutdown losses through project monitoring and feedback suggestions, helping customers seizing "smart" manufacturing opportunities.
Import digital transformation to achieve smart factories
"iMF 4.0 Intelligent ManuFactory System" is a smart solution designed for industries interested in embracing digital transformation to help them achieve smart factories in three steps:
1.Step 1: Further learn the production general situation by quantifying the production information in the factory.
2.Step 2: Use visual production information charts to target unnecessary production waste.
3.Step 3: Use charts as the basis for decision making to eliminate waste and improve production efficiency.
Import iMF 4.0 Without Pain Points to Realize Fast and Smooth Production Management
Customer Dilemma | Solution |
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![]() It is difficult to identify problems in time through personnel inspection to confirm the machine status.
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![]() Production execution panel displays the production general situation of the machine in real time. Management is realized through the panel.
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![]() Manual calculation of operation rate and output is time-consuming and labor-intensive, and easy to make statistical errors.
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![]() Cloud database data is computed directly through production analysis report and is generated as real-time report.
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![]() The abnormal history of the machine is not recorded, which makes it difficult to trace and review the problem.
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![]() The causes of shutdowns and abnormalities can be counted through the production analysis report, and provided to the managers for traceability and review.
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Item | Before Import | After Import |
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Data recording time | 360min (Manual) | 10min (Cloud computing) |
Operation rate of machine | 79% | 83% |
Scheduling efficiency | 60min | 20min |
Equipment troubleshooting time | 9hr | 4.5hr |
Customer Dilemma | Solution |
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![]() It is impossible to obtain real-time information effectively by checking the operation rate of equipment capacity by personnel inspection.
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![]() Production execution panel displays the general situation of each production line, and personnel can directly confirm the real-time operation rate by the panel.
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![]() Manual record of defective products may easily lead to data errors, or difficulty in information query.
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![]() Relevant persons fill in the cause and number of defective products with app, which is conducive to follow-up operations and review and improvement.
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![]() There is a lot of production data, and it is impossible to effectively grasp the information such as the number of good products and production progress.
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![]() Work orders can be queried with production execution panel and production execution system to grasp the order progress in real time.
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Item | Before Import | After Import |
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Data recording time | 360min (Manual) | 10min (Cloud computing) |
Operation rate of machine | 77% | 83% |
Scheduling efficiency | 60min | 20min |
Equipment troubleshooting time | 9hr | 4.5hr |