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Despite leaving records of defect reports and corrective actions, they are not utilized in the next design, leading to repeated similar defects. Many of the causes stem from the reports being located in places that do not reach the designers' attention. ARCHAIVE automatically links defect reports, corrective action reports, and DR meeting minutes to the same "items" as the drawings using the part number as a key. Additionally, it can search for drawings with similar shapes through shape analysis, allowing for the retrieval of "similar shapes with past issues" even if the part numbers differ. It transforms records of recurrence prevention into information that is actually used in the design field. 【Usage Scenarios】 - Check past troubles of parts with similar shapes against new design drawings. - Summarize and review drawings, design change history, and past defect reports for customer complaint responses related to specific part numbers. - Refer to past cases of similar shapes during root cause analysis. - Confirm which version of the drawings reflects design changes after corrective actions. - Search across past defects and countermeasures when preparing materials for quality meetings. 【Benefits of Implementation】 - Defect reports will be referenced during the design phase. - The recurrence of the same defects will be less likely. - The time to gather related information during initial responses to complaints will be reduced. - Knowledge of quality will be less likely to be lost due to personnel transfers.
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Every time a mass production launch occurs, are you not re-examining "which processes and jigs were used to make similar parts last time, and where defects occurred"? The information needed for decision-making is scattered across process charts, jig drawings, and defect reports, and there are things that can only be understood by asking the responsible personnel. ARCHAIVE analyzes shapes to read drawings in three dimensions and searches for past parts with similar characteristics in shape and processing methods, such as holes, pockets, and bends. By linking part numbers to process charts, jig drawings, and defect reports as the same "item," you can summarize and review how similar parts were made and the reasoning behind those decisions at that time. 【Usage Scenarios】 - Referencing the processes of existing parts with similar shapes in the process design of new parts. - Searching for jig drawings used in the past with similar workpieces before jig design. - Confirming the manufacturability of drawings received from the design department based on the performance of past similar parts. - Checking processing defects and countermeasures that occurred with similar parts during mass production launches. - Tracing the history of process changes by combining drawings and documents. 【Benefits of Implementation】 - Reduces the time required for preliminary research in process design. - Allows for the reuse of existing jigs and processes, reducing setbacks during launches. - Makes it easier to prevent the recurrence of processing defects at the stage of process design. - Enables confirmation of the history of past decisions without needing to ask the responsible personnel.
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"I drew similar parts before, but I don't know the drawing number." "The person in charge who knew the background of the design change has transferred." Are you spending time searching for drawings for such reasons and not redrawing from scratch? ARCHAIVE is an AI that reads drawings as three-dimensional "objects." It analyzes shapes to identify features like holes, pockets, and bends, and searches for similar drawings with related meanings. Additionally, it automatically links specifications, DR meeting minutes, and defect reports to the same drawing using the part number as a key. You can even verify the basis for design decisions in the context of reused designs. 【Use Cases】 - Searching for similar drawings to serve as a base for reused or derived designs. - In conceptual design, referencing past successful shapes from hand-drawn sketches. - During design changes, confirming the differences and reasons for changes compared to the old version. - Before checking drawings or DR, reviewing past trouble reports and countermeasures for similar shapes. - Allowing younger designers to progress with their designs while considering the deliberations of veterans. 【Benefits of Implementation】 - Reducing the time spent searching for drawings from 30 minutes to 1-5 minutes. - Finding reusable drawings, which decreases duplicate drafting. - Reducing the oversight of past issues, thereby minimizing rework after drawings are issued. - Preventing design know-how from being concentrated in specific individuals. *The figures are based on actual measurements from the PoC. The effects may vary depending on the volume of drawing assets and operational structure.
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"ARCHAIVE" is a product that consolidates all information related to manufacturing, such as drawings, parts information, estimates, specifications, and inspection records, into "one place," making it easy to manage with AI. The AI interprets drawings and documents within the system and quickly searches for the necessary information. It supports daily operations as an AI co-pilot that does not interrupt the designer's thought process. The AI can automatically analyze shapes and dimensions, allowing it to pick similar drawings from tens of thousands in just a few seconds. 【Features (partial)】 ■ AI Agent ■ Parts Tree Structure ■ Anything Box ■ File RAG Search ■ Difference Detection *For more details, please download the PDF or feel free to contact us.
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We would like to introduce a case where Suenami Industrial Co., Ltd. implemented our drawing management AI "ARCHAIVE." The biggest challenge was the complexity and personalization of the estimation process. Manual estimation took a lot of time, making it difficult to respond quickly. Additionally, AI-generated estimates still required human checks in the end. After implementation, the ability to process numerous drawings in bulk and output rough estimates in CSV format has streamlined operations. AI has started to support the complex estimation tasks. [Background and Key Factors for Implementing ARCHAIVE] - The potential for AI to approximate our unique calculation methods - Flexibility in development and quick response times - Frequent updates twice a month based on user feedback *For more details, please download the PDF or feel free to contact us.
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We would like to introduce a case where our drawing management AI "ARCHAIVE" was implemented at AMCI Co., Ltd. The biggest challenge was the personalization of drawing management. We were organizing paper drawings alphabetically by company name, but it was common for them not to be returned to their original places after use or to be placed in the wrong locations. After implementation, drawings can be searched with just click operations without any text input, making it easy for employees who are not familiar with computer operations to use it immediately. This has allowed for a division of labor between office staff and workers, leading to an overall increase in operational efficiency. [Background and deciding factors for the introduction of ARCHAIVE] - The initial cost was reasonable. - Flexible customization options. - Aiming for a total solution. *For more details, please download the PDF or feel free to contact us.
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We would like to introduce a case where our drawing management AI "ARCHAIVE" was implemented at Cross Tech Co., Ltd. Before the implementation, the management of drawings and projects was personalized, making it difficult for others to understand which project a quote pertained to, and the processing methods were unclear. After the implementation, a lot of information can be checked immediately, allowing even clerical staff to easily look up drawings. Through integrated project management, a sustainable production system has been established. [Case Overview] ■ Challenges before implementation: Personalization of drawing and project management ■ Effects after implementation: Significant reduction in the creation of quotes, delivery notes, and invoicing through project management based on drawings *For more details, please download the PDF or feel free to contact us.
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"ARCHAIVE" is a manufacturing AI data platform that streamlines operations such as design, supplier selection, cost estimation, project progress management, and design reviews, starting from drawings and forms. By incorporating cutting-edge AI, it liberates employees from manual input and paper management, allowing each individual to focus on core tasks and turning the know-how and data held by each company into "assets." We support AI utilization and DX promotion for customers across various industries, from small factories to major manufacturers, as well as the transmission of technology and operational efficiency. 【Three Key Values Offered】 ■ Overwhelming economic rationality ■ FDE + high customization allows for optimization in the "field" ■ High-precision AI finds the desired data in one second *For more details, please download the PDF or feel free to contact us.
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