When there are changes to the inspection items or pass/fail criteria, maintenance can be performed by the user.
The "Quality Inspection Pass/Fail Judgment System" is a solution that inputs quality inspection data for product lots requested for quality inspection and performs pass/fail judgments. By managing inspection items and pass/fail judgment criteria as a master, it automates the pass/fail judgment for product lots or each inspection item, and the double-check function for approvals helps prevent the outflow of defective products. Quality inspection data is stored in a database and can be output to Excel. 【Purpose of System Implementation】 ■ Automation of Pass/Fail Judgment - We aim to improve work efficiency by automating the pass/fail judgment of quality inspections. ■ Prevention of Data Entry Errors - By minimizing the number of inputs, we reduce transcription errors. ■ Double Check - We perform a double check for approvals on quality inspections to prevent the shipment of defective products. ■ Maintenance - We want to respond flexibly and efficiently to changes such as adding varieties and modifying product specifications. *For more details, please refer to the PDF document or feel free to contact us.
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【Background of System Implementation】 ■ The pass/fail judgment for quality inspection was conducted by human judgment, which was inefficient, and there were cases of defective products being shipped due to judgment errors. ■ Each time data was used for quality inspection, pass/fail judgment, and analysis graph creation, it was manually entered into Excel, leading to transcription errors. ■ Due to the production of many varieties in small quantities and frequent additions of varieties, it took time to change inspection items and pass/fail judgment criteria, necessitating a system that could be efficiently maintained. 【Effects of Implementation】 ■ There are no longer any defective products shipped due to errors in the pass/fail judgment of quality inspections. ■ Transcription errors in quality inspection data have been eliminated, improving data reliability. ■ Quick responses to the addition of varieties and changes in product specifications have become possible. ■ In addition to automating judgments, future automation of quality data input is expected to further enhance the reliability of the system. *For more details, please refer to the PDF document or feel free to contact us.
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For more details, please refer to the PDF document or feel free to contact us.
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