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  3. 高崎ものづくり技術研究所 ゴウドウガイシャタカサキモノヅクリギジュツケンキュウショ
  4. Pro Manual! Case Studies of Production Site Reform Towards DX (Introduction of AI, IoT, Collaborative Robots) What are the steps for utilizing data and introducing digital technology in the manufacturing industry? For made-to-order small and medium-sized parts processing and assembly production factories.
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  • Feb 13, 2023
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Feb 13, 2023

Pro Manual! Case Studies of Production Site Reform Towards DX (Introduction of AI, IoT, Collaborative Robots) What are the steps for utilizing data and introducing digital technology in the manufacturing industry? For made-to-order small and medium-sized parts processing and assembly production factories.

高崎ものづくり技術研究所 高崎ものづくり技術研究所 ゴウドウガイシャタカサキモノヅクリギジュツケンキュウショ
Companies are required to promote DX (Digital Transformation) as a "transformation" in the midst of significant environmental changes. The activities of the manufacturing industry are based on "people," "organizations," "unique technologies," and "production systems," but ultimately, it is "people" who determine quality. Companies need to strengthen these elements, differentiate themselves from competitors, and ensure their survival. Differentiation cannot be achieved through factory equipment or machine performance. 1. Overview of DX 1.1 What is DX? 1.2 What is DX in manufacturing? 1.3 Differences between improvement activities, IT implementation, and DX 1.4 New improvement activities to promote DX 2. Case Studies of DX Implementation 2.1 Essential digital technologies for DX 2.2 AI and robotics technology 2.3 IoT and data collection mechanisms 2.4 Data analysis and utilization methods 2.5 IT technologies for administrative departments 2.6 Solving familiar issues with digital technology 2.7 Skills required for engineers 3. Implementation of DX Strategy 3.1 Building foundational strength to withstand environmental changes 3.2 Two directions for DX in order processing and production companies 3.3 Creating customer value 3.4 Human resource development for promoting DX 3.5 Transforming from order-based production organizations to customer development organizations
Explanation of the approach to implementing DX in the manufacturing industry with case studies.
Explanation of the approach to implementing DX in the manufacturing industry with case studies.
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What Can AI Do? Reforming Production Sites Towards DX (AI, Robot, IoT Implementation Case Studies): A Pro Manual for Manufacturing Managers and Leaders to Master
<Case Study Research>  1. Method for Creating Work Instructions Using Conversational AI  2. Visualization of Management Using BI Tools  3. Building a Preventive Maintenance System for Machines Using AI  4. Consideration of Collaborative Robot Implementation  5. Machine Equipment Operation Monitoring System Using Web Cameras

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Pro Manual! What can AI do? Reforming the production site towards DX (Digital Transformation).

A guidebook covering corporate transformation, productivity improvement, and problem-solving on the shop floor aimed at the digital transformation and smart factory development in multi-variety, small-lot production factories.

This course aims to understand the necessity of corporate transformation through DX (Digital Transformation) and provides a detailed explanation of the key points for promoting DX within one's own company. 1. Overview of DX 1.1 What is DX? 1.2 What is DX in manufacturing? 1.3 Differences between improvement activities, IT implementation, and DX 1.4 New improvement activities to promote DX 2. Case Studies of DX Implementation 2.1 Essential digital technologies for DX 2.2 AI and robotics technology 2.3 IoT and data collection mechanisms 2.4 Data analysis and utilization methods 2.5 IT technologies for administrative departments 2.6 Solving familiar issues with digital technology 2.7 Skills required for engineers 3. Implementation of DX Strategy 3.1 Building foundational strength to withstand environmental changes 3.2 Two directions for DX in order-based processing production companies 3.3 Creating customer value 3.4 Human resource development for promoting DX 3.5 Transforming from order-based production organizations to customer development organizations <Case Studies> 1. Method for creating work instruction manuals using conversational AI 2. Visualization of management through BI tools 3. Building a preventive maintenance system for machines using AI

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Pro Manual! How to Promote DX, Business Reform, and Quality Reform by the Factory Manager

Explaining the "reform of business structures" for DX transformation, as well as the creation of systems for "preventing troubles before they occur"!

Manufacturing activities are composed of "people," "organizations," "unique technologies," and "production activity systems," but ultimately, it is "people" who determine quality. How can we solve everyday challenges such as poor quality and low productivity? To promote business reform and quality improvement, it is essential to firmly establish "correct quality management activities." To achieve this, factory managers must envision the ideal future state of the factory, demonstrate leadership, and possess the ability to manage people and organizations. This explanatory document clarifies various issues faced by small and medium-sized manufacturing industries and low-volume, high-variety production factories, and provides direction on how to address these challenges. [Contents (partial)] - Promotion of policy management - Skill development education for digital personnel - Organizational reform - Promotion of DX and reform of business systems - Introduction of IoT systems and enhancement of data analysis techniques - Reform of the system for knowledge transfer *For more details, please refer to the PDF document or feel free to contact us.

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December Recruitment: Basic Skill Improvement Seminar for Young Leader Factory Management

Young employees will acquire the fundamentals of factory management, including key points for process improvement, quality control, and production management through statistical analysis (Online: 4-part series).

Implementation Method: Conducted online (targeting manufacturing industries nationwide) Target Audience: Frontline leaders (manufacturing department leaders, manufacturing engineers, quality assurance engineers) Please apply as a company or as an individual. Duration and Frequency: 4 sessions, each 4 hours/session (1 PM to 5 PM) Scheduled Dates: December course, every Wednesday, 1st session: November 29 (Wed) to 4th session: December 20 (Wed) Participation Fee: 30,000 yen per company (up to 3 participating locations) <Members receive a 5,000 yen discount> Payment via bank transfer or credit card Text: PDF data will be available for download in advance for each session. ★The content of the text program may change. ★Training can also be conducted in person upon request (company visits).

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Pro Manual! A Guide to Business Reform and Quality Improvement for Factory Managers: Approaches and Case Studies

Explaining the basics of "Quality Management" and the creation of systems for "Preventing Troubles Before They Occur"!

The activities of a company are built on "people," "organizations," "technology," and "systems," but ultimately, it is "people" who determine quality. Differentiation cannot be achieved through factory equipment or machine performance. How can we solve everyday challenges such as poor quality and low productivity? To promote business reform and quality improvement, it is essential to firmly establish "correct quality management activities." To achieve this, factory managers must constantly consider what the fundamental elements of "people," "organizations," "technology," and "systems" should be and how to strengthen them, while demonstrating leadership and management skills. This explanatory document clarifies various issues faced by small and medium-sized manufacturing industries and low-volume, high-variety production factories, and provides direction on countermeasures. [Contents (partial)] ■ Introduction ■ Basics of Quality Management ■ Strengthening Human Resources *For more details, please refer to the PDF document or feel free to contact us.

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Complete Domination: What is the "Flow Diagram of Goods and Information"? On-site Improvement Methods for Quality Enhancement

Introducing how to promote on-site improvements! We will improve the "management system" based on the "flow diagram of materials and information."

On-site improvements for quality enhancement involve management and supervisory levels noticing abnormalities and changes in their daily operations, investigating causes, and implementing countermeasures that transcend organizational boundaries. This document covers topics such as "The Role of Production Activities and On-site Managers," "How to Promote On-site Improvements for Quality Improvement," and "What the Business Structure Is." We encourage you to read it. [Contents] ■ The Role of Production Activities and On-site Managers ■ How to Promote On-site Improvements for Quality Improvement ■ What the Business Structure Is ■ Common Rules *For more details, please refer to the PDF document or feel free to contact us.

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  • Technical and Reference Books
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Pro Manual! Utilizing the Latest Digital Technology for Human Error Prevention

Introducing "Digital Technology Utilization for Zero Defective Outflow Measures," "Poka-Yoke Tools," and "Case Studies on Human Error Countermeasures"!

A comprehensive guide and procedure manual covering measures against human errors in manufacturing sites. In recent years, the utilization of IoT and AI has accelerated the visualization of factory information and the replacement of human tasks with machines through the introduction of robots and inspection equipment, making it an effective means for quality improvement, including the prevention of human errors. Particularly, there is a high level of interest among companies in the inspection field. Defective product leakage is something that must absolutely be avoided, but full visual inspections by human eyes inevitably lead to oversights. The relationship between the risk of defective product leakage and inspection costs raises the question of how far inspections should go... Recently, various inspection machines, including image inspection systems, have become relatively affordable, and we hope companies will consider transitioning from traditional quality control systems that rely on manual labor to a quality management system that effectively utilizes AI and IoT to achieve low costs and zero defective product leakage. [Contents] ■ Eliminating oversights in full inspections ■ Preventing operational mistakes through the use of AI and IT technologies ■ Quality management methods for zero defective product leakage ■ Poka-yoke tools (hardware/software) ■ Case studies on measures against human errors ■ Practice problems *For more details, please refer to the PDF materials or feel free to contact us.

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Pro Manual! Variability Management in Processes and Excel Statistical Analysis Methods

I will provide a detailed explanation of the procedures for statistical analysis (t-tests, correlation analysis, regression analysis, experimental design) using MC processing data.

<Training and Seminar Planning for Young Engineers> Explanation of Practical Statistical Analysis Methods for Use in the Field Statistical Quality Control (SQC) should not be seen merely as a subject of study for statistical experts; it must be manageable enough for those conducting analyses in the manufacturing field to effectively utilize even simple methods (such as QC tools). For example, the Seven QC Tools are techniques for analyzing phenomena numerically and quantitatively, allowing anyone to quickly understand issues through visualization and making explanations easy. However, it can be quite challenging to master advanced technical problems involving hypothesis testing and estimation, correlation analysis, regression analysis, experimental design, multivariate analysis, and the Taguchi method (quality engineering). Recently, it has become possible to conduct analyses without complex calculations by using the statistical analysis functions in EXCEL. This explanatory document will provide a detailed guide on managing variability in manufacturing processes and quality improvement methods using statistical analysis techniques, specifically focusing on practical procedures for conducting statistical analyses (t-tests, correlation analysis, regression analysis, experimental design) using MC processing data.

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Truck berth vehicle detection

It's not too late to address the "Logistics 2024 Problem." Why not immediately reduce drivers' waiting times?

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Are you making progress on measures for the "2024 Problem"? With stricter management of drivers' working hours, reducing "waiting time" has become an urgent issue in the logistics field. To address this challenge, our company, Hotron, proposes the "Vehicle Detection Ultrasonic Sensor 'HM-UX2'," which instantly grasps the availability of loading bays. The 'HM-UX2' contributes to the resolution of waiting times by accurately understanding the availability situation, reducing unnecessary waiting and queueing, and shortening waiting times to alleviate the burden on drivers! By replacing the "eyes" of your loading bay management with this high-precision sensor, why not start addressing the "2024 Problem"? Take a look at the product features: "Can it accurately detect availability?" "Can we really use it in our company?" "I just want to know the cost, even if it's an estimate." If you have any questions or requests, please feel free to consult with us.

Aug 08, 2025

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Hidetoshi Tojo appointed as the representative executive president of the U.S. Anthropic Japan Corporation.

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Tokyo, August 7, 2025 - (JCN Newswire) - Anthropic, an AI research and development company that develops the cutting-edge AI model Claude, announced today the appointment of Hidetoshi Tojo as the Representative Executive Officer and President of its Japanese subsidiary. Tojo has extensive experience driving growth for technology companies in Japan, most recently serving as the President and Executive Officer of Snowflake's Japanese subsidiary, where he was involved from the launch of the business and achieved significant growth. He has also contributed to the advancement of data utilization in major Japanese companies by closely collaborating with various system integrators. Additionally, he has experience leading teams at Google Cloud Japan and Microsoft, both at their U.S. headquarters and Japanese subsidiaries. For more details, please refer to: https://acnnewswire.com/press-release/japanese/101731/

Aug 07, 2025

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◆Asano Corporation◆ Notice of Summer Vacation ★ Asano is a development support manufacturer for automobiles, motorcycles, bicycles, aircraft, space rockets, and more.

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We sincerely apologize for the inconvenience, but Asano Co., Ltd. will be closed for summer vacation during the following period. We appreciate your understanding. Closure Period: August 13, 2025 (Wednesday) to August 17, 2025 (Sunday) Reopening: August 18, 2025 (Monday) <Inquiries> We will respond sequentially starting from August 18, 2025 (Monday). Asano Co., Ltd. is a manufacturer that supports the development of mobility parts, including automobiles, motorcycles, bicycles, aircraft, and space rockets. We conduct in-house integrated production of sheet metal, plastic, and composite products. We offer proposals for hybrid molding and multi-material bonding, among others. ■ Inquiries ■ Asano Co., Ltd. Headquarters and Gunma Factory 2718-1 Sanwa-cho, Isesaki City, Gunma Prefecture, 372-0011 TEL: 0270-75-1700 FAX: 0270-75-1600 MAIL: salesg@asano-japan.com Official YouTube Channel: https://www.youtube.com/@asano-japan

Aug 07, 2025

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Kit 1 θ/2 Method Contact Angle Analysis Software

New Product: Simple Contact Angle Meter Kit - Amazon Exclusive Model

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Newly released: Contact Angle Meter Entry Mini Kit Model, Amazon Exclusive Model JISR3257 compliant, includes θ/2 method and contact angle analysis software. Windows PC sold separately. Complete product priced at ¥399,300 (tax included). At the same time, we have started selling individual components for the contact angle meter kit as an Amazon exclusive model: "θ/2 Method Contact Angle Analysis Software" Kit 1, "Stage + Backlight + Housing" Kit 2, and "Dedicated USB Camera" Kit 3. The contact angle meter can be integrated into the device, allowing for the combination of "θ/2 Method Contact Angle Analysis Software" Kit 1 and "Dedicated USB Camera" Kit 3 for applications. Only the necessary elements such as software and camera can be combined. These models are exclusive to Amazon and will be sold and shipped by Amazon.co.jp.

Aug 07, 2025

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Our employee was featured in a special article in the Sanyo Shimbun.

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Our company, NICS Corporation (Headquarters: 1-11-1 Uno, Tamano City, Okayama Prefecture, President: Shinichiro Yamane), had an employee featured in the special article "New Star ★ Running" in the local economy section of the Sanyo Shimbun dated August 7.

Aug 07, 2025

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