We have compiled a list of manufacturers, distributors, product information, reference prices, and rankings for Support software.
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Support software Product List and Ranking from 203 Manufacturers, Suppliers and Companies | IPROS GMS

Last Updated: Aggregation Period:Jul 22, 2026~Aug 18, 2026
This ranking is based on the number of page views on our site.

Support software Manufacturer, Suppliers and Company Rankings

Last Updated: Aggregation Period:Jul 22, 2026~Aug 18, 2026
This ranking is based on the number of page views on our site.

  1. 日本生工技研 Tokyo//software
  2. タック株式会社(イビデングループ) 営業統括部 産業・公共営業グループ Gifu//IT/Telecommunications
  3. アイシーエム Tokyo//software
  4. 4 null/null
  5. 5 FAI Aichi//IT/Telecommunications

Support software Product ranking

Last Updated: Aggregation Period:Jul 22, 2026~Aug 18, 2026
This ranking is based on the number of page views on our site.

  1. [DX Promotion] Advanced Work Analysis and Improvement Tool 'Time Prism' 日本生工技研
  2. 設備巡回点検の属人化を脱却!【AirSNAP】 タック株式会社(イビデングループ) 営業統括部 産業・公共営業グループ
  3. Medication Management Guidance Support System "MedicaLab" アイシーエム
  4. 4 VISOMETRY Corporation AR Visual Inspection Support Software Twyn TOMITA CO.,LTD.
  5. 5 Robot programming support software "neoROSET" 川崎重工業 ロボットディビジョン

Support software Product List

361~390 item / All 414 items

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Transform skilled craftsmanship into assets with one click. AI accelerates standardization and improvement.

No specialized equipment required - immediate implementation possible! Transforming workforce development in manufacturing with advanced AI technology.

"Factomate TAKT" is an app that automatically analyzes work using AI, making it easy to create manuals and measure work hours with just one click. Using it is simple! 1. Record a work video using your smartphone or similar device. 2. Upload it to the application. That's it! Anyone can easily analyze the work. 【Case Study of an Actual Customer】 ■ Industry: Material Processing Manufacturer ■ Target Process: Processing and Final Packaging Processes ■ Implementation Effects ・Manual creation work hours: Reduced by up to 90% "By just uploading one video, it neatly compiles everything, eliminating the need to create it from scratch manually." ・Business efficiency improvement: 15% reduction in processing work hours "Based on the output evaluations from the work analysis, we advanced the automation of part of the process and improved tools within the company. As a result, the work hours of skilled workers improved, and we were able to assign processes to trainees as well." You can also try it out with a limited-time trial instead of purchasing outright! *For more details, please download the PDF or feel free to contact us.

  • Process Control System
  • Other production and development software and systems
  • others
  • Support software

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Rescuing the setbacks of generic packages. AI production planning tailored specifically for your company.

Ultimate efficiency in production planning and progress management! We have received numerous inquiries from major manufacturers.

Have you ever faced setbacks in implementing general-purpose packages like production schedulers? The real-time production optimization scheduler developed by NEXTOPT comes standard with planning optimization AI! We will handle the setup and customization, so there's no need for complex configurations on-site. With an easy-to-understand interface, operation is simple. We also offer demonstrations, so please feel free to contact us. 【Features】 - Automatically create plans with one click in response to process progress and unexpected changes. - Customization of unique algorithms that couldn't be achieved with general-purpose schedulers, such as minimizing changeover time and delivery delays, and skill matching. 【Common Cases】 - Issues faced: - Due to sudden absences of production workers, it was necessary to change the production plan each time, which was very troublesome. - Although we are promoting multi-skilled workers, there are situations where difficult processes must be assigned to specific individuals, and we need a scheduler that can accommodate sudden personnel changes. - Proposal: - An automatic scheduler for production planning that considers skill maps. - Since changing plans due to personnel absences was time-consuming, cost recovery can be achieved quickly.

  • Production Scheduler
  • Production Management System
  • Process Control System
  • Support software

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Soft transformation of the manufacturing site realized through data utilization DX for the textile industry.

【Up to 60% reduction in drawing time】Information utilization solution supporting inventory reduction in the textile industry.

In the textile industry, accurate inventory management and rapid information sharing are required to respond to diverse small-lot production and seasonal demand fluctuations. In particular, the lack of updates to drawings and specifications due to changes in specifications or designs, as well as insufficient sharing of know-how held by skilled workers, can lead to rework, excess inventory, and lost opportunities. By addressing these challenges and visualizing the tacit knowledge on-site, we contribute to inventory reduction. 【Usage Scenarios】 - Rapid updates and sharing of drawings and specifications due to changes in specifications - Video manuals for the know-how of skilled workers in pattern creation to facilitate technology transfer - Visualization of the material procurement process linked to production planning - Clarification and sharing of inspection standards in quality control 【Effects of Implementation】 - Reduction of management man-hours for drawings and specifications and prevention of rework - Improvement of production efficiency through the promotion of technology transfer - Shortening of lead times from procurement to production - Stabilization of quality and reduction of defective products

  • Document and Data Management
  • Support software

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Soft transformation of the manufacturing site realized through information utilization DX for the aerospace sector.

Reduce drawing time by up to 60% by visualizing drawings and know-how to prevent quality assurance rework.

In the aerospace industry, quality assurance requires the accuracy and consistency of technical information such as drawings, specifications, and procedures to ensure product safety and reliability. Particularly in complex designs and stringent manufacturing processes, the dispersion of information and the personalization of skilled technicians' know-how can pose risks in quality management. These challenges can lead to rework and defects, potentially resulting in project delays and increased costs. Our product addresses these structural challenges and supports quality assurance operations by optimizing information collaboration. 【Usage Scenarios】 - Streamlining the review of design drawings - Creating video manuals for manufacturing procedures - Visualizing a consistent process from procurement to quality management 【Benefits of Implementation】 - Accelerated information sharing through centralized management of drawings, specifications, and procedures - Promotion of knowledge transfer and standardization of quality through video documentation of skilled workers' know-how - Strengthened quality management systems through the visualization of business processes

  • Document and Data Management
  • Support software

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Twyn AR Visual Inspection Support Software for Machine Assembly

Support for appearance inspection of large and complex shapes, with automatic generation of inspection reports.

In the machinery assembly industry, accurate assembly and visual inspection are required to ensure product quality. Especially for large machines and products with complex shapes, mistakes such as forgetting to attach parts or missing processing can compromise the product's performance and safety. Twyn displays 3D-CAD data on an iPad and overlays it with the actual product to identify discrepancies between the data and the physical item, thereby improving the accuracy of visual inspections. The automation of freehand recording and photo reports also enhances the efficiency of inspection tasks. 【Usage Scenarios】 - Assembly inspection of large sheet metal parts - Assembly inspection of can structures - Assembly inspection of large jigs 【Benefits of Implementation】 - Improved accuracy of visual inspections - Reduced work time - Decreased inspection errors - Promotion of labor-saving measures

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  • Image Processing Software
  • Support software

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Aerospace CADPAC-CREATOR

Support for strength analysis in the aerospace field using 2D3D integrated design CAD.

In the aerospace industry, advanced strength analysis is essential to ensure the safety and reliability of products. In particular, the design of aircraft fuselages and components must withstand use in harsh environments. Inadequate design can lead to serious accidents. CADPAC-CREATOR integrates 2D and 3D data, making it easy to create and edit the shape data necessary for strength analysis. 【Usage Scenarios】 - Design of aircraft components - Structural design of spacecraft - Strength analysis simulation 【Benefits of Implementation】 - Reduced design time - Improved design quality - Cost reduction

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  • 2D CAD machine
  • 3D CAD
  • Other CAD
  • Support software

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DesignFlowExtractor for Home Appliance Design

3D data to 2D drawings! Improve design efficiency.

In the field of home appliance design, the utilization of 3D data is essential due to the miniaturization and high functionality of products. However, in collaboration with manufacturing sites and partner companies, there are often cases where 2D drawings are necessary, and the task of converting from 3D to 2D can become a burden for designers. DesignFlowExtractor facilitates the process by performing shape verification and angle correction of three-dimensional data, making it easier to expand into two-dimensional data. As a result, designers can proceed with drawing creation more efficiently. 【Usage Scenarios】 - Design of home appliance enclosures - Creation of component drawings - Collaboration with manufacturing departments 【Benefits of Implementation】 - Reduction in design time - Decrease in drawing creation errors - Smooth information sharing

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"AI picking" for irregular items, food, bagged goods, and automotive metal parts, etc.

Detecting the grasping position of irregularly shaped and transparent objects, which has been difficult until now, and picking them up. Developing AI in a short period of time using simulators and deep learning.

Building an AI model applicable to robot picking tasks Creating AI functionality to detect graspable positions from bulk work images with simple operations Utilizing AI to determine the positions for grasping workpieces enables the picking of irregular and transparent objects. The AI learns to determine grasping positions by converting bulk work images automatically generated by a simulator into images that closely resemble real ones. This significantly enhances picking accuracy when deploying the actual machine. Additionally, since the AI generation process can be completed on the simulator, the development time for AI can be greatly reduced, allowing for the rapid implementation of AI picking. 【Features】 ■ Data Creation: Automatically generating training data based on a small amount of real data ■ AI Creation: Completing the "Picking AI Model" in as little as half a day ■ AI Execution: Easily building a picking system with dedicated software ★ We provide dedicated software for the robots and cameras necessary for bulk picking. Customers only need to develop the AI model. * The robots supported are from Yaskawa Electric Corporation. Sankei Co., Ltd. is a distributor (trading company) of AI Cube Co., Ltd.

  • Picking robot system
  • Transport and handling robots
  • Articulated Robot
  • Support software

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VoxelDance Additive for Automotive Prototyping

Software for 3D printers that realizes the efficiency of automobile prototyping.

In the automotive industry's prototyping process, a quick response to design changes and high-quality modeling are required. Especially for prototypes aimed at functional verification, accurate modeling within a short timeframe is essential. VoxelDance Additive maximizes the productivity of 3D printers and addresses challenges in prototyping. 【Usage Scenarios】 - Confirmation of design models - Creation of functional verification prototypes - Production of jigs and small parts - Model editing 【Benefits of Implementation】 - Reduction of prototyping time - Improvement in design quality - Cost reduction

  • 3D Printer
  • Data conversion software
  • Other CAD related software
  • Support software

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Smart Picking for FA for Electronic Devices

Reduce picking errors and achieve efficiency in packing operations!

In the electronics industry, accurate picking of parts is essential during packaging operations. Mistakes in part selection can lead to a decline in product quality and the occurrence of defective products, potentially resulting in significant losses. Additionally, delays in the picking process can lead to decreased productivity. Smart Picking for FA supports accurate and rapid picking through the reading of part information via barcode scanners and the display of extraction locations and quantities using answer circuits. 【Usage Scenarios】 - Picking parts on the manufacturing line of electronic devices - Extracting parts during packaging operations - Restocking parts in inventory management 【Benefits of Implementation】 - Reduction of picking errors - Shortening of work time - Increased efficiency in inventory management

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  • Display
  • Other process controls
  • others
  • Support software

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Software localization using CATALYST

Software localization using CATALYST

Alchemy CATALYST is a comprehensive translation environment equipped with powerful project management features. It integrates the tools necessary for translation, localization, engineering, quality management, project management, and software development, allowing for maximum reduction in time and costs required for projects by leveraging these tools. It can reflect existing translations from past versions and perform various QA checks without relying on human intervention.

  • Other information systems
  • others
  • Translation/Interpretation
  • Support software

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[On-Demand Seminar] Practical Design Review!

Would you like to learn the basics of design reviews to enhance design quality? We will clearly explain everything from an overview to practical implementation.

●Overview and Aim To ensure quality through equipment, it is essential to establish good product conditions for the equipment, set optimal operating and maintenance conditions, and build a system. However, it is crucial to review and consider the development and design stages, and it is indispensable to enhance overall design quality not only within the design department but also among all departments and members involved with the equipment. Design reviews are a system implemented in many companies to review and consider the design stages, but have they become mere formalities? Why not learn from the basics about design reviews that "enhance design quality" in this course? This course will provide a clear and concrete explanation of what design reviews are, from an overview to practical application. It will cover essential points such as why design reviews are necessary and how to operate them without them becoming mere formalities, explained from the perspectives of both the reviewers and those listening to the reviews, making it easy to understand.

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Collaboration between Machine Translation and Trados - Yokogawa Electric Corporation

Significant reductions in delivery times, which were difficult with manual translation, are now possible! The pressure regarding deadlines has been greatly alleviated.

We would like to introduce a case study regarding the implementation of the Trados and Google Translate integration solution "MTrans for Trados" at Yokogawa Electric Corporation. The company creates and translates manuals related to control systems and faced the challenge of wanting to reduce the burden on in-house translators and improve operational efficiency. This system does not generate free translations or overly liberal translations, so there is no need to "interpret" the translated text. We have received feedback that it is easier to identify areas that require editing, even if the translation does not convey the intended meaning. [Case Overview] ■ Background - Aiming to reduce the burden on in-house translators and improve operational efficiency ■ Effects - Achieving deadlines that were difficult under the traditional translation process is now possible *For more details, please download the PDF or feel free to contact us.

  • Translation/Interpretation
  • Support software

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Case Study of Orizuru 3D Implementation for Energy Equipment Maintenance

Utilizing 3D data to streamline maintenance operations for energy facilities.

In the energy industry, equipment maintenance is essential for stable operation, requiring rapid parts procurement and accurate information management. Particularly, procuring parts for aging equipment and identifying parts when drawings are not available pose challenges that consume significant time and costs. Orizuru 3D addresses these issues by quickly obtaining necessary information from 3D data and streamlining the parts procurement process. 【Use Cases】 - Parts procurement for aging equipment - Parts identification when drawings are unavailable - Parts arrangement from 3D data 【Benefits of Implementation】 - Elimination of the need for 2D drawing creation, leading to more efficient procurement operations - Reduction in parts procurement time - Contribution to stable operation of equipment

  • 3D CAD
  • Process Control System
  • Cost Management System
  • Support software

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[For Semiconductors] Orizuru 3D Case Study

Utilizing 3D data to expedite information understanding and maintenance response for semiconductor equipment.

In the semiconductor industry, accurate understanding of equipment information and prompt maintenance response are crucial for the stable operation of specialized equipment in clean rooms. Particularly for equipment without existing drawings, confirming the structure and identifying necessary parts can be time-consuming, increasing the burden of maintenance tasks. Orizuru 3D provides an environment where equipment information can be intuitively grasped from 3D data, supporting the acceleration of maintenance responses and parts verification. 【Usage Scenarios】 - Procurement of parts for aging equipment in clean rooms - Identification of parts when drawings are not available - Arrangement of parts from 3D data 【Benefits of Implementation】 - Elimination of the need for 2D drawing creation, leading to more efficient procurement operations - Reduction in parts procurement time - Contribution to the stable operation of equipment

  • 3D CAD
  • Process Control System
  • Cost Management System
  • Support software

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Strengthening the maintenance of machinery and equipment as an afterthought | Orizuru MES

Enhance maintenance and visualization of machinery equipment with retrofitting!

In the machinery industry, it is important to suppress equipment downtime and maintain stable operations. It is required to minimize equipment downtime and maximize production efficiency. By early detection of equipment anomalies and conducting planned maintenance, it contributes to improving productivity and reducing costs. Orizuru MES supports the gradual transformation into a smart factory while leveraging existing equipment and systems, and enhances equipment maintenance. 【Usage Scenarios】 - Monitoring equipment operating status - Early response through anomaly detection - Optimization of maintenance planning 【Effects of Implementation】 - Reduction of equipment downtime - Reduction of maintenance costs - Improvement of productivity

  • Process Control System
  • Support software

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How to Utilize 3D Data for Estimation | Orizuru 3D

A way of connecting 3D data, which tends to stagnate in the design phase, to estimates and subsequent processes.

By expanding the use of 3D data not only for design but also for estimation, procurement, and manufacturing, overall business efficiency is expected to improve. On the other hand, in the field, there are still operations that revert to 2D drawings and individual confirmations, leading to reliance on experienced personnel for estimation decisions and difficulties in making decisions across departments while looking at the same shapes, often resulting in time-consuming adjustments. Even if 3D modeling progresses in design, the persistence of traditional methods in later processes can prevent the effective utilization of valuable data. "Orizuru 3D" is a product that addresses these challenges by realizing automated estimation/procurement digital transformation (DX). It supports the efficiency of estimation tasks and reduction of dependency on individuals through rule-based cost estimation and price prediction using machine learning, targeting estimation, design, procurement, and manufacturing process design. With lightweight 3D visualization, it becomes easier for related departments to confirm shapes, making it effective in practical applications. 【Features】 ■ Automated estimation ■ Lightweight 3D rendering in a web browser * For more details, please download and view the PDF. Reference Article What is 3DA (3D Annotation)? A Complete Guide from Creation Methods to CAD Selection https://www.cct-inc.co.jp/koto-online/archives/29

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Reduce rework with 3D sharing 【Orizuru 3D】

A concept for sharing 3D models among stakeholders to reduce discrepancies in understanding and the back-and-forth of confirmations.

Utilizing 3D data to streamline verification and simulation during the design phase leads to preventing rework and facilitating consensus. However, in practice, the environment where stakeholders can work with the same model is often not established, necessitating alignment of understanding with each verification, which can lead to delays in decision-making. If this situation persists, the back-and-forth of verification tasks increases, resulting in a slowdown of overall business speed and the occurrence of rework. "Orizuru 3D" is a product that supports estimation, design, and procurement operations using 3D data to address these challenges. By facilitating sharing and verification among stakeholders through lightweight 3D visualization, and by combining it with automated estimation, it helps to mitigate delays in decision-making and the tendency for operations to become reliant on specific individuals. 【Features】 ■ Automated estimation ■ Lightweight 3D rendering in a web browser *For more details, please download the PDF. 【Reference Article】 What should BIM/CIM tools utilizing 3D models look like? https://www.cct-inc.co.jp/koto-online/archives/307

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"Orizuru 3D" that doesn't stop the data halfway.

From design to the site. Information becomes powerful only when it is connected.

In product development, the uninterrupted flow of information across design, manufacturing, and maintenance directly correlates with the speed of decision-making and the reduction of rework. It is essential to create a state where the same data can be connected and used, rather than having separate information for each department. However, on-site, information from the design phase is often not adequately passed on to subsequent processes, leading to situations where documents must be searched for again or previous processes revisited for confirmation. Continued fragmentation like this can result in variability in decision-making and delays in response. The solution to this information disconnect is 'Orizuru 3D'. Through shape recognition, similarity search, automatic estimation, and lightweight 3D visualization, it expands design data into estimation, procurement, and manufacturing process design, making it easier to facilitate cross-departmental confirmation and decision-making. 【Features】 ■ Automatic estimation ■ Lightweight 3D rendering in a web browser *For more details, please download the PDF. ■ Reference Article What is a digital thread in manufacturing? A detailed explanation of its differences from digital twins and use cases. https://www.cct-inc.co.jp/koto-online/archives/379

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【店番長導入事例】株式会社ジュンテンドー

店番長がもたらした情報革命 ~ 広域エリアの店舗巡回に匹敵する大きな存在

株式会社ジュンテンドーは、主に地方都市や中間山地、離島にチェーン展開 をするホームセンターです。 紙ベース、ファックスやメール、電話などさまざまなルートを使って、 エリアマネージャーや17の部門の各バイヤーから、店舗へ指示を行っていました。 他社のサービスも検討しましたが、大掛かりな設備やシステムの変更が 必要なものもあります。その点、『店番長』はネット環境さえあれば スタートできる点が魅力でした。 【事例】 ■導入先:株式会社ジュンテンドー ■店舗数:126店舗(2019年12月現在) ※詳しくはPDF資料をご覧いただくか、お気軽にお問い合わせ下さい。

  • Integrated operation management
  • Corporate information portal/groupware
  • Other information systems
  • Support software

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[Case Study of Store Manager Introduction] Heiwado Co., Ltd.

Achieved 90% execution power immediately after implementation, and 100% is also within reach! This led to the elimination of oversight.

Heiwado is a GMS chain that operates large general supermarkets and small supermarkets primarily in Shiga Prefecture, as well as in the Kinki, Hokuriku, and Tokai regions. Until now, the company has used dedicated groupware to share business instructions with stores. Each store has over 50 sales areas, and the headquarters sends out as many as 350 pieces of information per store each week. When instructions become concentrated, it is easy for stores to miss confirmations, making reminders via phone or email from headquarters a necessity. Immediately after implementing "Tenbancho," the execution rate reached 90%. Stores were able to reliably confirm outstanding instructions, leading to the eradication of missed responses. [Case Study] ■ Implementation: Heiwado Co., Ltd. ■ Number of Stores - Heiwado: 156 stores, Group Companies: 4 stores *For more details, please refer to the PDF document or feel free to contact us.

  • Integrated operation management
  • Corporate information portal/groupware
  • Other information systems
  • Support software

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WIZIoT (WizIoT) - Equipment Inspection DX Service for the Manufacturing Industry

Automatically read meter values with AI to streamline equipment inspections for predictive maintenance.

In the manufacturing industry, the stable operation of equipment and the realization of predictive maintenance are directly linked to increased productivity and cost reduction. In particular, the recording of meter values and the confirmation of abnormalities during daily equipment inspections are prone to oversight and recording errors, which burden maintenance operations. To solve these challenges and achieve more accurate predictive maintenance, the digitization and efficiency of inspection tasks are required. WIZIoT addresses these issues through AI-based automatic meter reading and cloud management, supporting the smart transformation of equipment inspection operations. 【Usage Scenarios】 - Inspection of various equipment meters within the factory - Recording of abnormal locations such as unusual noises, odors, and liquid leaks - Acceleration of inspection record reporting on-site - Efficiency improvement in management operations through paperless processes 【Benefits of Implementation】 - Up to 80% reduction in inspection and recording time - Approximately 47% reduction in inspection management tasks - Improved accuracy of inspection records and prevention of errors - Smoother information sharing through centralized management in the cloud

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  • Other information systems
  • Support software

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[HR Evaluation DX] Interview Record and Assessment Sheet Creation Support AI

Why not stop taking notes during the meeting and talk while looking your subordinate in the eye?

【Product Overview】 This product addresses the concern of "having a vague memory of the interview and lacking confidence in evaluations." It is an AI tool for HR that automatically records the content of evaluation interviews and 1-on-1 meetings in a secure environment. With speaker separation functionality, it clarifies "who said what" and summarizes the content according to the specified evaluation sheet. It enables objective and fair evaluation records that do not rely on the subjectivity or memory of the interviewers. 【Three Transformations from Implementation】 1. Creating a "listening environment" that allows for focused dialogue... Since there is no need to frantically take notes, interviewers can concentrate on the expressions and nuances of their subordinates' words, improving the quality of the interviews. 2. "Significantly reducing" the time to create evaluation sheets... The AI organizes the content of a one-hour interview and automatically formats it into the company's standard template. This reduces the administrative burden on evaluators and allows them to spend more time considering feedback. 3. "Ironclad protection" for sensitive information... Strict access rights management through workspace functionality completely isolates HR information and evaluation content from unauthorized individuals.

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  • Voice Recognition Software
  • Support software

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Collaboration of Automotive PLM and Utilization of 3D CAD Data

Integrate automotive PLM and 3D CAD data to eliminate the fragmentation of design information.

For the automotive sector: We will address the challenge of disconnected information between core systems like PLM and 3D CAD data by utilizing the 3D CAD data application features of blooplinter. 'blooplinter' is a knowledge utilization tool that links design know-how and past examples to 3D CAD data, allowing users to quickly find the necessary information. It manages past drawings, design decisions, trouble cases, and check items alongside 3D shapes, enabling anyone to reuse verification tasks that were previously reliant on the experience of skilled professionals. 【Usage Scenarios】 ■ Fast search for past similar design cases ■ Automatic checking of requirements in accordance with design standards ■ Differential checks during design changes ■ Sharing of trouble cases and prevention of recurrence ■ Passing on design know-how to new personnel 【Implementation Effects】 ■ Reduction of variability in design quality and promotion of standardization ■ Shortening of development time through reduction of design and verification man-hours ■ Continuous sharing and promotion of the utilization of skilled professionals' know-how

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Modularization of automobiles and reuse of design data

Streamlining the development of automotive derivatives through modularization and design data reuse.

For the automotive industry: We address the challenge of not advancing the modularization of parts and mechanisms, leading to redesign for each derivative model, with the design data reuse feature of blooplinter. 'blooplinter' is a knowledge utilization tool that links design know-how and past examples to 3D CAD data, allowing for quick access to necessary information. It manages past drawings, design decisions, trouble cases, and check items alongside 3D shapes, enabling anyone to reuse verification tasks that previously relied on the experience of skilled professionals. 【Usage Scenarios】 ■ Fast search for past similar design cases ■ Automatic checks of requirements in accordance with design standards ■ Difference confirmation during design changes ■ Sharing of trouble cases and prevention of recurrence ■ Transmission of design know-how to new personnel 【Implementation Effects】 ■ Reduction of variability in design quality and promotion of standardization ■ Shortening of development time through reduction of design and verification man-hours ■ Continuous sharing and promotion of the use of skilled professionals' know-how

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Improving quality through automated requirement checks in automotive parts design.

Automate the checking of automotive parts design requirements to be faster and more reliable.

For automotive parts: We will solve the issue of design requirement check omissions being discovered in later processes or after mass production, which incurs correction costs, with the automatic requirement check feature of blooplinter. 'blooplinter' is a knowledge utilization tool that links design know-how and past cases to 3D CAD data, allowing for quick searches of necessary information. It manages past drawings, design decisions, trouble cases, and check items alongside 3D shapes, enabling anyone to reuse the verification tasks that relied on the experience of skilled workers. [Usage Scenarios] ■ Fast search for past similar design cases ■ Automatic checks of requirements in accordance with design standards ■ Difference confirmation during design changes ■ Sharing of trouble cases and prevention of recurrence ■ Transmission of design know-how to new personnel [Implementation Effects] ■ Reduction of design quality variability and promotion of standardization ■ Shortening of development periods through reduction of design and verification man-hours ■ Continuous sharing and promotion of the utilization of skilled workers' know-how

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Reducing Rework in Shipbuilding Design: Utilizing 3D CAD Techniques

Preventing shipbuilding design revisions in advance by utilizing 3D CAD data.

For shipbuilding: We will solve the issue of frequent rework and reconsideration due to the discovery of defects in the post-design process with the design rework reduction feature of blooplinter. 'blooplinter' is a knowledge utilization tool that links design know-how and past cases to 3D CAD data, allowing users to quickly find the necessary information. It manages past drawings, design decisions, trouble cases, and check items alongside 3D shapes, enabling anyone to reuse the verification tasks that relied on the experience of skilled workers. [Usage Scenarios] ■ Fast search for past similar design cases ■ Automatic checks of requirements in accordance with design standards ■ Difference confirmation during design changes ■ Sharing of trouble cases and prevention of recurrence ■ Transmission of design know-how to new personnel [Implementation Effects] ■ Reduction of variability in design quality and promotion of standardization ■ Shortening of development time through reduction of design and verification man-hours ■ Continuous sharing and promotion of the utilization of skilled workers' know-how

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Modularization of shipbuilding and reuse of design data

Streamlining the development of derivative shipbuilding models through modularization and the reuse of design data.

For shipbuilding: We address the challenge of not progressing in the modularization of parts and mechanisms, leading to redesigning for each derived model, through the design data reuse feature of blooplinter. 'blooplinter' is a knowledge utilization tool that links design know-how and past cases to 3D CAD data, allowing for quick searches of necessary information. It manages past drawings, design decisions, trouble cases, and check items alongside 3D shapes, enabling anyone to reuse verification tasks that previously relied on the experience of skilled workers. [Utilization Scenarios] ■ Fast search for past similar design cases ■ Automatic checks of requirements in accordance with design standards ■ Difference confirmation during design changes ■ Sharing of trouble cases and prevention of recurrence ■ Passing on design know-how to new personnel [Implementation Effects] ■ Reduction of variation in design quality and promotion of standardization ■ Shortening of development time through reduction of design and verification man-hours ■ Continuous sharing and promotion of the utilization of skilled workers' know-how

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Reducing Rework in Railway Vehicle Parts Design: Techniques for Utilizing 3D CAD

Preventing design rework of railway vehicle parts by utilizing 3D CAD data.

For railway vehicle parts: To address the issue of frequent rework and reconsideration due to the discovery of defects in the design post-process, we will solve this with blooplinter's design rework reduction feature. 'blooplinter' is a knowledge utilization tool that links design know-how and past cases to 3D CAD data, allowing you to quickly find the necessary information. It manages past drawings, design decisions, trouble cases, and check items alongside 3D shapes, enabling anyone to reuse the verification tasks that relied on the experience of skilled workers. [Usage Scenarios] ■ Fast search for past similar design cases ■ Automatic checks of requirements in accordance with design standards ■ Difference confirmation during design changes ■ Sharing of trouble cases and prevention of recurrence ■ Transmission of design know-how to new personnel [Implementation Effects] ■ Reduction of variation in design quality and promotion of standardization ■ Shortening of development time through reduction of design and verification man-hours ■ Continuous sharing and promotion of the utilization of skilled workers' know-how

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Standardization through the reuse of design data for railway vehicle parts.

Promote the standardization of parts in collaboration with the purchasing department by reusing design data for railway vehicle components.

For railway vehicle parts: We are facing the challenge of purchasing and designing similar parts anew each time, which hinders the standardization of parts and prevents cost reduction. This issue can be resolved with the design data reuse feature of blooplinter. 'blooplinter' is a knowledge utilization tool that links design know-how and past examples to 3D CAD data, allowing users to quickly find the necessary information. It manages past drawings, design decisions, trouble cases, and check items alongside 3D shapes, enabling anyone to reuse verification tasks that were previously reliant on the experience of skilled workers. [Usage Scenarios] ■ Fast search for past similar design cases ■ Automatic checking of requirements according to design standards ■ Confirmation of differences during design changes ■ Sharing of trouble cases and prevention of recurrence ■ Passing on design know-how to new personnel [Implementation Effects] ■ Reduction of design quality variation and promotion of standardization ■ Shortening of development periods through reduction of design and verification man-hours ■ Continuous sharing and promotion of the use of skilled workers' know-how

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