LIGHTz Product Lineup

For aircraft parts: General-purpose AI naturally accumulates the tacit knowledge of experts from daily operations and conversations, serving as a manufacturing industry-specific organizational knowledge AI platform that can be utilized as a company's "knowledge infrastructure." It structures and stores the experience and judgment criteria of veterans from internal documents and conversation records, allowing for searches and references not only on "what was judged" but also on "why that judgment was made." It is equipped with AI agent functions that address various aspects of operations, such as risk detection in project documents, integrated searches of 3D drawings and knowledge, and the presentation of similar cases during troubleshooting. [Usage Scenarios] - Preserve judgment criteria and experiential knowledge as knowledge before the retirement or transfer of veterans. - Allow younger or other department members to independently search and reference past judgment bases. - Early identification of risks from project documents during the design and production preparation stages. - Respond quickly during trouble occurrences based on similar cases and countermeasure proposals. [Implementation Effects] - Visualization and inheritance of judgment criteria that had become personalized. - Utilization of knowledge that not only allows for searches but also explains "why." - Reduction of rework through early detection of risks. - Shortening of lead time for trouble response.

• others

For infrastructure: Generalized AI naturally accumulates the tacit knowledge of experts from daily operations and conversations, serving as a "knowledge infrastructure" for companies. It is a specialized organizational knowledge AI platform for the manufacturing industry. By structuring the experience and judgment criteria of veterans from internal documents and conversation records, it allows users to search and reference not only "what was decided" but also "why that decision was made." It includes AI agent functions tailored to various aspects of business, such as risk detection in project documents, integrated searches of 3D drawings and knowledge, and presenting similar cases during trouble response. [Usage Scenarios] ■ Preserve judgment criteria and experiential knowledge as knowledge before veterans retire or transfer. ■ Allow younger or other department members to independently search and reference past decision-making bases. ■ Early identification of risks from project documents during the design and production preparation stages. ■ Respond quickly during trouble occurrences based on similar cases and countermeasures. [Implementation Effects] ■ Visualization and inheritance of judgment criteria that had become personalized. ■ Utilization of knowledge that not only allows for searches but also explains "why." ■ Reduction of rework through early detection of risks. ■ Shortening of lead time for trouble response.

• others

For the electronics industry: General-purpose AI accumulates the tacit knowledge of experts naturally from daily operations and conversations, serving as a "knowledge infrastructure" for companies through a manufacturing-focused organizational knowledge AI platform. It structures and accumulates the experience and judgment criteria of veterans from internal documents and conversation records, allowing users to search and reference not only "what was decided" but also "why that decision was made." It features AI agent functions tailored to various aspects of operations, such as risk detection in project documents, integrated searches of 3D drawings and knowledge, and presenting similar cases during troubleshooting. [Usage Scenarios] - Preserving judgment criteria and experiential knowledge as knowledge before the retirement or transfer of veterans. - Allowing younger or other department members to independently search and reference past decision-making bases. - Early identification of risks from project documents during the design and production preparation stages. - Responding quickly to issues based on similar cases and countermeasures when problems arise. [Implementation Effects] - Visualization and inheritance of judgment criteria that were previously personalized. - Utilization of knowledge that not only allows for searches but also explains "why." - Reduction of rework through early detection of risks. - Shortening of lead times for troubleshooting responses.

• others

For semiconductors: Generalized AI naturally accumulates the tacit knowledge of experts from daily operations and conversations, serving as a manufacturing industry-specific organizational knowledge AI platform that can be utilized as a company's "knowledge infrastructure." It structures and accumulates the experience and judgment criteria of veterans from internal documents and conversation records, allowing searches and references not only for "what was judged" but also for "why it was judged that way." It features AI agent functions tailored to various aspects of operations, such as risk detection in project documents, integrated searches of 3D drawings and knowledge, and presenting similar cases during troubleshooting. 【Usage Scenarios】 ■ Preserve judgment criteria and experiential knowledge as knowledge before the retirement or transfer of veterans. ■ Allow younger employees and members from other departments to independently search and reference past judgment bases. ■ Early identification of risks from project documents during the design and production preparation stages. ■ Respond quickly during trouble occurrences based on similar cases and countermeasures. 【Implementation Effects】 ■ Visualization and inheritance of previously personalized judgment criteria. ■ Utilization of knowledge that not only allows for searches but also explains "why." ■ Reduction of rework through early risk detection. ■ Shortening of lead time for troubleshooting responses.

• others

For the automotive industry: General-purpose AI naturally accumulates the tacit knowledge of experts from daily operations and conversations, serving as a specialized organizational knowledge AI platform for manufacturing that can be utilized as the company's "knowledge infrastructure." It structures and accumulates the experience and judgment criteria of veterans from internal documents and conversation records, allowing users to search and reference not only "what was judged" but also "why that judgment was made." It features AI agent functions tailored to various aspects of operations, such as risk detection in project documents, integrated searches between 3D drawings and knowledge, and presenting similar cases during trouble response. 【Usage Scenarios】 ■ Preserve judgment criteria and experiential knowledge as knowledge before the retirement or transfer of veterans. ■ Allow younger or other department members to independently search and reference past judgment bases. ■ Early identification of risks from project documents during the design and production preparation stages. ■ Respond quickly to troubles based on similar cases and countermeasures. 【Implementation Effects】 ■ Visualization and inheritance of judgment criteria that had become personalized. ■ Utilization of knowledge that not only allows for searches but also explains "why." ■ Reduction of rework through early detection of risks. ■ Shortening of lead time for trouble response.

• others

For the manufacturing engineering chain: Generalized AI naturally accumulates the tacit knowledge of experts from daily operations and conversations, serving as a specialized organizational knowledge AI platform for the manufacturing industry that can be utilized as the company's "knowledge infrastructure." It structures and accumulates the experience and judgment criteria of veterans from internal documents and conversation records, allowing users to search and reference not only "what was judged" but also "why it was judged that way." It features AI agent functions tailored to various aspects of business, such as risk detection in project documents, integrated searches of 3D drawings and knowledge, and presenting similar cases during trouble response. [Usage Scenarios] ■ Preserve judgment criteria and experiential knowledge as knowledge before the retirement or transfer of veterans. ■ Allow younger or other department members to independently search and reference past judgment bases. ■ Early identification of risks from project documents during the design and production preparation stages. ■ Respond quickly to troubles based on similar cases and countermeasures. [Implementation Effects] ■ Visualization and inheritance of judgment criteria that had become personalized. ■ Utilization of knowledge that not only allows for search but also understanding of "why." ■ Reduction of rework through early detection of risks. ■ Shortening of lead time for trouble response.

• others

For the manufacturing industry: Generalized AI naturally accumulates the tacit knowledge of experts from daily operations and conversations, serving as a "knowledge infrastructure" for companies through a manufacturing-specific organizational knowledge AI platform. It structures and accumulates the experience and judgment criteria of veterans from internal documents and conversation records, allowing searches and references not only to "what was judged" but also to "why that judgment was made." It features AI agent functions tailored to various aspects of operations, such as risk detection in project documents, integrated searches of 3D drawings and knowledge, and presenting similar cases during troubleshooting. [Usage Scenarios] ■ Preserving judgment criteria and experiential knowledge as knowledge before veterans retire or transfer ■ Allowing younger or other department members to independently search and reference past judgment bases ■ Early identification of risks from project documents during the design and production preparation stages ■ Rapid response during trouble occurrences based on similar cases and countermeasures [Implementation Effects] ■ Visualization and inheritance of previously personalized judgment criteria ■ Utilization of knowledge that not only allows for searches but also explains "why" ■ Reduction of rework through early risk detection ■ Shortening of lead time for troubleshooting responses

• others

For plants: General-purpose AI naturally accumulates the tacit knowledge of experts from daily operations and conversations, serving as a specialized organizational knowledge AI platform for the manufacturing industry that can be utilized as the company's "knowledge infrastructure." It structures and accumulates the experiences and judgment criteria of veterans from internal documents and conversation records, allowing users to search and reference not only "what was judged" but also "why it was judged that way." It features AI agent functions that address various aspects of operations, such as risk detection in project documents, integrated searches of 3D drawings and knowledge, and presenting similar cases during trouble response. 【Usage Scenarios】 ■ Preserving judgment criteria and experiential knowledge as knowledge before the retirement or transfer of veterans ■ Allowing younger employees and members from other departments to independently search and reference past judgment bases ■ Early identification of risks from project documents during the design and production preparation stages ■ Rapid response to troubles based on similar cases and countermeasures 【Implementation Effects】 ■ Visualization and inheritance of judgment criteria that had become personalized ■ Utilization of knowledge that not only allows for searching but also understanding "why" ■ Reduction of rework through early detection of risks ■ Shortening of lead time in trouble response

• others

For chemical manufacturers: General-purpose AI naturally accumulates the tacit knowledge of experts from daily operations and conversations, serving as a specialized organizational knowledge AI platform for the manufacturing industry that can be utilized as the company's "knowledge infrastructure." It structures and accumulates the experience and judgment criteria of veterans from internal documents and conversation records, allowing users to search and reference not only "what was judged" but also "why that judgment was made." It features AI agent functions tailored to various aspects of operations, such as risk detection in project documents, integrated searches of 3D drawings and knowledge, and presenting similar cases during trouble response. [Usage Scenarios] - Preserve judgment criteria and experiential knowledge as knowledge before the retirement or transfer of veterans. - Allow younger or other department members to independently search and reference past judgment bases. - Early identification of risks from project documents during the design and production preparation stages. - Respond quickly during trouble occurrences based on similar cases and countermeasure proposals. [Implementation Effects] - Visualization and inheritance of judgment criteria that had become personalized. - Utilization of knowledge that not only allows for searches but also explains "why." - Reduction of rework through early detection of risks. - Shortening of lead times for trouble response.

• others

For automotive parts: The general-purpose AI for knowledge accumulation naturally gathers the tacit knowledge of experts from daily operations and conversations, serving as a manufacturing industry-specific organizational knowledge AI platform that can be utilized as a company's "knowledge infrastructure." It structures and accumulates the experience and judgment criteria of veterans from internal documents and conversation records, allowing users to search and reference not only "what was judged" but also "why it was judged that way." It includes AI agent functions tailored to various aspects of operations, such as risk detection in project documents, integrated searches between 3D drawings and knowledge, and presenting similar cases during troubleshooting. [Usage Scenarios] ■ Preserve judgment criteria and experiential knowledge before the retirement or transfer of veterans. ■ Allow younger or other department members to independently search and reference past judgment bases. ■ Early identification of risks from project documents during the design and production preparation stages. ■ Respond quickly during trouble occurrences based on similar cases and countermeasures. [Implementation Effects] ■ Visualization and inheritance of judgment criteria that had been personalized. ■ Utilization of knowledge that not only allows for searches but also explains "why." ■ Reduction of rework through early detection of risks. ■ Shortening of lead time for troubleshooting responses.

• others

For automobiles: General-purpose AI naturally accumulates the tacit knowledge of experts from daily operations and conversations, serving as a specialized organizational knowledge AI platform for the manufacturing industry that can be utilized as the company's "knowledge infrastructure." It structures and accumulates the experience and judgment criteria of veterans from internal documents and conversation records, allowing users to search and reference not only "what was judged" but also "why it was judged that way." It features AI agent functions that address various aspects of operations, such as risk detection in project documents, integrated searches of 3D drawings and knowledge, and presenting similar cases during trouble response. [Usage Scenarios] - Preserving judgment criteria and experiential knowledge as knowledge before the retirement or transfer of veterans. - Allowing younger or other department members to independently search and reference past judgment bases. - Early identification of risks from project documents during the design and production preparation stages. - Rapid response to troubles based on similar cases and countermeasures. [Implementation Effects] - Visualization and inheritance of judgment criteria that had become personalized. - Utilization of knowledge that not only allows for searches but also understanding of "why." - Reduction of rework through early detection of risks. - Shortening of lead time for trouble response.

• gear
• Semiconductors and ICs
• Other Auto Parts

For construction machinery parts: The issue of not visualizing the man-hours and costs due to design rework, making it difficult to explain to management, will be resolved with the design rework reduction 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 the verification tasks that relied on the experience of skilled workers. [Usage Scenarios] ■ Fast search for past similar design cases ■ Automatic checks of requirements according to 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 design quality variation and promotion of standardization ■ Shortening of development periods by reducing design and verification man-hours ■ Continuous sharing and promotion of the use of skilled workers' know-how

• others

For construction machinery parts: We will solve the issue of disconnected information between core systems like PLM and 3D CAD data with the 3D CAD data utilization 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 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 periods through reduction of design and verification man-hours ■ Continuous sharing and promotion of the utilization of skilled workers' know-how

• others

For construction machinery parts: We address the challenge of young designers' training relying on on-the-job training (OJT) at the site, which slows down the training speed, through the young talent development and design knowledge utilization 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 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 ■ 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

• others

For construction machinery parts: We face the challenge of not being able to reduce costs due to the need to purchase and design similar parts anew each time, which hinders the standardization of parts. 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 the verification tasks that relied on the experience of skilled workers. [Usage Scenarios] ■ Fast search for past similar design cases ■ Automatic checks of requirements according to 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

• others

For construction machinery parts: We address the challenge of taking too much time to confirm compliance with industry standards and internal standards, which can lead to rework just before mass production, with the compliance check 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 were previously reliant on the experience of skilled workers. 【Usage Scenarios】 ■ Fast search for past similar design cases ■ Automatic checks of requirements according to 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 periods through reduction of design and verification man-hours ■ Continuous sharing and promotion of the utilization of skilled workers' know-how

• others

For construction machinery parts: The production technology department faces the challenge of not being able to find past designs of similar jigs and equipment, leading to new considerations each time. This issue is resolved with the similar shape search function of blooplinter. 'blooplinter' is a knowledge utilization tool that links design know-how and past cases 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 were previously reliant 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 periods through reduction of design and verification man-hours ■ Continuous sharing and promotion of the utilization of skilled workers' know-how

• others

For construction machinery parts: We address the challenge of being unable to utilize past design data and having to start design and production preparation from scratch each time by using 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 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 design quality variation and promotion of standardization ■ Shortening of development periods through reduced design and verification man-hours ■ Continuous sharing and promotion of the utilization of skilled workers' know-how

• others

For construction machinery parts: We will solve the issue of design requirement check omissions being discovered in later processes or after mass production, leading to correction costs, with the automatic requirement check function 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 ■ Confirmation of differences 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 periods through reduction of design and verification man-hours ■ Continuous sharing and promotion of the utilization of skilled workers' know-how

• others

For construction machinery parts: We will solve the issue of skilled designers' know-how remaining tacit and not being passed on to younger generations with the knowledge utilization 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 the verification tasks that relied on the experience of seasoned 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 ■ Passing on design know-how to new personnel 【Implementation Effects】 ■ Reduction of variability in design quality and promotion of standardization ■ Shortening of development periods through reduced design and verification man-hours ■ Continuous sharing and promotion of the utilization of seasoned professionals' know-how

• others

For construction machinery parts: We will solve the issue of frequent rework and reconsideration due to the discovery of defects in the design process using 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 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

• others

For construction machinery parts: Despite the existence of similar past designs, the challenge of not being able to find them and having to design from scratch will be resolved with blooplinter's similar shape search function. 'blooplinter' is a knowledge utilization tool that links design know-how and past examples 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 professionals. [Usage Scenarios] ■ Fast search for past similar design examples ■ 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 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 utilization of skilled professionals' know-how

• others

For construction machinery parts: We will solve the issue of 3D CAD data being scattered among individuals and departments, hindering the reuse of past designs, with the 3D CAD data utilization feature of blooplinter. 'blooplinter' is a knowledge utilization tool that links design know-how and past examples to 3D CAD data, allowing you to quickly search for 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 checks of requirements according to 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

• others

For railway vehicle parts: We will solve the issue of fragmented design know-how across different locations, which leads to repeated discussions between sites, using the design knowledge utilization 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. [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 ■ Transmission of design know-how to new personnel [Implementation Effects] ■ Reduction of variability in design quality 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

• others

For railway vehicle parts: We address the issue where new designers, unaware of past troubles, design and encounter significant rework during reviews, by utilizing 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 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 checks of requirements according to 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 periods through reduction of design and verification man-hours ■ Continuous sharing and promotion of the utilization of skilled professionals' know-how

• others

For railway vehicle parts: The issue of not being able to visualize the man-hours and costs due to design rework, making it difficult to explain to management, will be resolved 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 verification tasks that were previously reliant on the experience of skilled workers. [Usage Scenarios] ■ Fast search for past similar design cases ■ Automatic checks of requirements in accordance with design standards ■ Confirmation of differences 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 periods through reduction of design and verification man-hours ■ Continuous sharing and promotion of the utilization of skilled workers' know-how

• others

For railway vehicle parts: We will address the issue of disconnected information due to the lack of integration between core systems like PLM and 3D CAD data by utilizing the 3D CAD data capabilities 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 checks of requirements in accordance with design standards ■ Confirmation of differences during design changes ■ Sharing of trouble cases and prevention of recurrence ■ Transfer of design know-how to new personnel 【Implementation Effects】 ■ Reduction of variability in design quality 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

• others

For railway vehicle parts: We address the challenge of young designers' training relying on on-the-job training (OJT) at the site, which slows down the training speed, with the young training and design knowledge utilization 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 previously relied on the experience of skilled workers. [Utilization Scenarios] ■ Fast search for past similar design cases ■ Automatic checks of requirements according to 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 design quality variation and promotion of standardization ■ Shortening of development periods by reducing design and verification man-hours ■ Continuous sharing and promotion of the utilization of skilled workers' know-how

• others

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

• others

For railway vehicle parts: We address the challenge of time-consuming compliance checks with industry and internal standards, which can lead to setbacks just before mass production, through the standard compliance check 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 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 ■ 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

• others

For railway vehicle parts: The production technology department faces the challenge of not being able to find past designs of similar jigs and equipment, leading to new considerations each time. This issue is resolved with the similar shape search function of blooplinter. 'blooplinter' is a knowledge utilization tool that links design know-how and past cases 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 were previously reliant on the experience of skilled workers. [Usage Scenarios] ■ Fast search for past similar design cases ■ Automatic checking of requirements in accordance with design standards ■ Confirmation of differences 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 periods through reduction of design and verification man-hours ■ Continuous sharing and promotion of the utilization of skilled workers' know-how

• others

For railway vehicle parts: We address the challenge of not being able to utilize past design data and having to start design and production preparation from scratch each time by using 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 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

• others

For railway vehicle parts: We will solve the issue of design requirement check omissions being discovered in later processes or after mass production, leading to correction costs, with the automatic requirement check 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 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 ■ Confirmation of differences 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 periods through reduction of design and verification man-hours ■ Continuous sharing and promotion of the use of skilled workers' know-how

• others

For railway vehicle parts: We will solve the challenge of the know-how of skilled designers remaining tacit and not being passed on to younger generations through the knowledge utilization 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 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

• others

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

• others

For railway vehicle parts: Despite the existence of similar past designs, the challenge of being unable to find them and having to design from scratch will be resolved with blooplinter's similar shape search function. 'blooplinter' is a knowledge utilization tool that links design know-how and past cases 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 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

• others

For railway vehicle parts: We will solve the issue of scattered 3D CAD data among individuals and departments, which hinders the reuse of past designs, with the 3D CAD data utilization feature of blooplinter. 'blooplinter' is a knowledge utilization tool that links design know-how and past examples to 3D CAD data, allowing you to quickly search for 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 checks of requirements according to 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 by reducing design and verification man-hours ■ Continuous sharing and promotion of the utilization of skilled workers' know-how

• others

For aircraft components: We will address the challenge of not advancing the modularization of parts and mechanisms, resulting in the need to redesign 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 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 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 periods through reduction of design and verification man-hours ■ Continuous sharing and promotion of the utilization of skilled workers' know-how

• others

For aircraft parts: The complexity of confirming regulatory and certification requirements poses a risk of oversight that may be discovered after mass production. This issue is resolved by the automatic requirement checking 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 professionals. [Usage Scenarios] ■ Fast search for past similar design cases ■ Automatic checking of requirements in accordance with design standards ■ Confirmation of differences 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 periods through reduction of design and verification man-hours ■ Continuous sharing and promotion of the utilization of skilled professionals' know-how

• others

For aircraft parts: The issue of not being able to visualize the man-hours and costs associated with design rework, making it difficult to explain to management, will be resolved with blooplinter's design rework reduction feature. '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 were previously reliant 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 use of skilled workers' know-how

• others

For aircraft parts: We will solve the issue of disconnected information between core systems such as PLM and 3D CAD data with the 3D CAD data utilization 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 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 variation in design quality 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 professionals' know-how

• others

For aircraft parts: We will address the challenge of young designers' training relying on on-the-job training (OJT) in the field, which slows down the training speed, through the young talent development and design knowledge utilization features 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 previously relied on the experience of skilled workers. 【Usage Scenarios】 ■ Fast search for past similar design cases ■ Automatic checks of requirements according to 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 periods by reducing design and verification man-hours ■ Continuous sharing and promotion of the utilization of skilled workers' know-how

• others

For aircraft components: We address the challenge of not being able to reduce costs due to the continuous purchase and design of similar parts from scratch, which hinders part standardization, by utilizing 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 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 use of skilled workers' know-how

• others

For aircraft parts: We address the challenge of time-consuming compliance checks with industry and internal standards, which can lead to setbacks just before mass production, through the specification compliance check 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 checks of requirements in accordance with design standards ■ Difference checks 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 periods through reduction of design and verification man-hours ■ Continuous sharing and promotion of the utilization of skilled workers' know-how

• others

For aircraft parts: The production technology department faces the challenge of not being able to find past designs of similar jigs and equipment, leading to new considerations each time. This issue is resolved with the similar shape search function of blooplinter. 'blooplinter' is a knowledge utilization tool that links design know-how and past cases to 3D CAD data, allowing for quick retrieval of 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 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 periods through reduction of design and verification man-hours ■ Continuous sharing and promotion of the utilization of skilled workers' know-how

• others