Digitalization of parts measurement and automatic creation of reports.
【Introduction Effects】 1) Reduction of data aggregation labor and quality statistics labor ➾ Paperless, zero data aggregation labor and statistical processing labor 2) Improvement of data reliability and quality management reliability ➾ Compliance with ISO9001 / IATF / VDA
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basic information
Digital measuring instrument integration, manual measurement, ancillary information management, statistical functions (including optional support), measuring instrument calibration management function, check sheets, QC process charts, defect analysis function, incoming inspection, product attribute integration function.
Price information
There is a subscription version and an on-premises version. For more details, please contact our Solution Planning Department.
Delivery Time
Applications/Examples of results
(Conventional - Manual Aggregation) Filling out paper measurement forms ➾ Transcribing to EXCEL ➾ Creating measurement sheets ➾ Creating quality statistical management tables (After Implementation - Digital Aggregation) Digital measuring instruments ➾ Automation of digital inspection forms and statistical management such as CPK
Company information
Our company was founded in 2010 and has recently celebrated its 10th anniversary. Over the past decade, the introduction of IoT and M2M, which originated from Germany's Industry 4.0, has progressed, but we are still often asked how to make use of the vast amounts of data collected. Issues such as on-site malfunctions, rework, equipment minor stops, major stops, and unexpected mold failures leading to production halts have not improved at all. We have been chosen by the field and have made a commitment to refine useful tools and systems that align closely with our customers' sites. The keyword is "realization" that truly benefits the field. We are promoting internal reform through four projects to practice "collecting ⇒ viewing ⇒ analyzing ⇒ utilizing" data at our customers' sites. Our approach does not start with the introduction of IoT; instead, we begin with hearing our customers' challenges. Rather than big data, we carefully select and collect data that is deemed necessary, starting with one process and then expanding to the next process, which we recommend as a small start. This allows us to proceed without the large initial investment typical of core systems, while observing the effects. If you are looking to solve the challenges currently facing you, please feel free to consult with us.
