Nano Seimitsu world class sorting machines / visual inspection!
Also manufacture and sales of shafts and fastener parts as well!
LINE QC SPECIALIST is "quality control software" for mass production plants of single parts. The software monitors and thoroughly enforces rules for trend control, central control, calibration of measuring instruments, frequency of sampling inspections, etc., to achieve zero defects in the process.
─ This is how LINE QC SPECIALIST was developed. ─
We also operate a mass production plant for motor shafts called Fortune Cross (Thailand) Co.,Ltd.
Fortune Cross (Thailand), a factory for mass production of motor shafts.
Nano Seimitsu has recommended a 100% inspection prior to shipment as an effective means of preventing NG leakage.
However, it was not always possible to automate the entire process.
Especially in the case of products with outer diameter tolerances of 10 microns or less, it is not so easy to use cameras for 100% inspection due to technical and cost considerations.
However, it is not always possible to automate the entire process, especially for products with an outside diameter tolerance of 10 microns or less, due to technical and cost considerations.
Nevertheless, the outflow of defective products (NG parts), even if they are only one in a million, cannot be tolerated,
However, it is the fate of parts manufacturers that they cannot allow even one defective part (NG part) in a million to escape from their premises.
So what should we do?
To stop the outflow of 1 in a million (zero PPM) defective products without automatic inspection of all products
The answer lies in "elimination of in-process defects.
The answer lies in "eliminating in-process defects.
To correctly understand the quality trends and process capabilities of our products, and to
Is there an in-process assurance method that can guarantee an unlimited number of defective products by taking appropriate measures to prevent the production of defective products?
Is there a way to do this?
Even with inspection by sampling, isn't there a way to reduce the occurrence of defective products in advance through more reliable quality control?
Is it possible to create a system that can monitor the work site more mechanically and ensure that work is completed according to the rules?
Because we manage our own factories and understand the difficult part of manufacturers, we have been trying to find out what kind of system or mechanism would be effective in order to prevent NG from being produced.
After a trial and error process, we have developed the "LINE QC SPECIALIST" system.
Three features of LINE QC SPECIALIST |
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【System Details】 ● Calibration control of measuring instruments (calibration contents and time) = Software intervenes in the reliability of measuring instruments. ● Separate the time of adjustment and the start of mass production = Structure mass production approval ● Separate central control value setting during adjustment and control value setting during mass production = More emphasis on central control during adjustment ● Inform workers of the measurement points and frequency of measurement, and encourage them to measure the correct points with the correct control values. ● The software will issue a warning if "measurement frequency cannot be observed," "measured value has reached the control value," or "instrument calibration time exceeded. ←(Image: Trend management display tablet) |
Big data analysis for essential quality improvement |
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● Analyze process capability by item and by person |
● Health check of equipment based on process capability of each machine (equipment maintenance ahead of time) |
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● Process capability of each worker can be used to evaluate people and to monitor them. |
● Change point management (coolant, blade change, man, machine, material, construction method) |
In the unlikely event of a defect, it will be easier to trace and determine the cause.
Customer Interview / LQS Introduction Video |
Customer Interview |
LQS x MARPOSS Automatic Data Transfer |
LQS x ISSOKU "Smp" |
★LINE QC SPECIALIST Trial monitors are being recruited!★
We invite you to use the demo unit and experience the effective use of big data in the field and the mechanism to make people follow the rules. Please feel free to contact us.
