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.

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

• Management consultant/Small business consultant

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.

• Management consultant/Small business consultant

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).

• Distance learning/E-learning

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.

• Management consultant/Small business consultant

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.

• Management consultant/Small business consultant
• Technical and Reference Books
• Technical and Reference Books

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.

• Technical Seminar

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.

• Technical and Reference Books

In the latest "Age Estimation Evaluation Test" conducted by NIST, the AI facial recognition engine "FaceMe" ranked 5th in the world. 【What is the NIST FATE Age Estimation Evaluation Test?】 The NIST FATE Age Estimation Evaluation Test is one of the international benchmarks for facial analysis technology conducted by the National Institute of Standards and Technology (NIST) in the United States, which evaluates the age estimation accuracy of AI algorithms using a large-scale facial image dataset. 【Evaluation Results of FaceMe】 - World Ranking: 5th FaceMe ranked 5th among 20 global vendors, demonstrating top-class accuracy in an international competitive environment. - Mean Absolute Error (MAE): 2.87 years The average error in FaceMe's estimated age is 2.87 years, with only a 0.35-year difference from the top-ranked algorithm, achieving world-class accuracy. *MAE (Mean Absolute Error): Quantifies the error in estimated age (the smaller the number, the higher the accuracy). *NIST conducted the evaluation using 1 million facial images of individuals aged 18 to 30.

In recent times, there has been a growing interest in infection control measures and facility hygiene management. Our company offers non-contact sensor products that are recommended for commercial facilities, food factories, and nursing and caregiving facilities. 【Sensors for Automatic Doors】 ● Light Touch Sensor HA-T401 … When you wave your hand in front of the automatic door, the sensor detects the movement and opens or closes the door. It is recommended for making doors that use touch switches non-contact. ● Hand Wave Sensor PF-R5, PF-U2, DHS-1 … Opens and closes the automatic door by waving your hand in front of the sensor. ● Foot Switch PF-01S/01D/03S/05 … Opens and closes the automatic door by placing your foot in the opening. 【Access Control System】 ● Face Recognition + Unmanned Temperature Measurement DS Series … Capable of detecting mask-wearing and measuring body temperature simultaneously with face recognition. ● Automatic Disinfectant Spray Dispenser PHW-03B … Automatically sprays disinfectant when you wave your hand in front of the sensor. 【Nursing and Care Sensors】 ● Infrared Bed Exit Sensor "Just Place It Pole-kun" … This bed exit sensor is installed next to the bed and alerts via nurse call when the subject enters the detection range. ◎ For more details, please download the catalog or contact us.

[To the owners of parking lots and parking lot construction companies] "I'm worried about the possibility of colliding with pedestrians when exiting the parking lot..." Among vehicle entrances to parking lots, stores, residences, and factories, those facing sidewalks or roadways are particularly prone to dangerous incidents such as collisions with pedestrians or between vehicles. To alleviate such concerns, Hotron proposes a [Vehicle Exit Warning Sensor] that detects vehicle departures at various sites and alerts the surroundings with LED lights and buzzers. The system consists of a simple configuration of "Sensor" + "Controller" + "Switching Power Supply (24V)" + "LED Rotating Light." *When using the exit warning system, we kindly ask customers to arrange for the switching power supply (24V), LED rotating light, control panel, circuit breaker, etc. Since it can be retrofitted, it can also be used for existing parking lot entrances. [Contents Included] ○ Vehicle Exit Warning System Configuration ○ Comparison Table of Exit Warning Sensors ○ Four Modes ○ Wide Range of Applications ○ Customer Feedback ○ Appearance Diagram / Specifications ◎ For more details, please contact us or download the catalog.

● The production time for casting prototypes can be shortened! Since model production is not required, the time needed to create prototypes, which previously took about a month, can be significantly reduced. ● Model costs can be reduced! By directly producing sand molds from 3D data, there is no need for model production costs. If changes to the model are necessary, they can be addressed by modifying the 3D data. ● Similar products with different shapes and dimensions can be prototyped simultaneously! With one molding process, different products with similar shapes or varying dimensions can be molded at the same time. This allows for the verification of multiple types in a short period.

The "Mechanical Stitching Method" by Nichinichisui Road Machinery Co., Ltd. is a new technique that allows for the repair of metal cracks without the application of heat. By using special bolts and reinforcement plates, cracks are physically removed, and repairs are made without causing any thermal impact to the base material. Repairs can be carried out in environments where open flames cannot be used. Since no heat is applied, the disassembly of equipment is minimized. ◎ For more details, please contact us. ◎ If you require a detailed technical explanation, please contact us.