THK List of Products and Services

OMNl edge" is an IoT service that visualizes the current state of components by simply attaching sensors, enabling anomaly detection. When any component is in a state that is "different from usual," you will be notified via email. It can be easily retrofitted to equipment that is already in operation. ■ For customers like these ■ ◎ Relying on the experience and intuition of skilled maintenance personnel ◎ Performing regular maintenance a few times a year, regardless of wear or lubrication status ◎ Wanting to introduce IoT but concerned about high costs ■ For components and equipment like these ■ ◎ LM guides ◎ Ball screws ◎ Other mechanical component parts ◎ Machine tools ◎ Injection molding machines ◎ Stress-prone drive locations ◎ Robot transport platforms ◎ Packaging machines ◎ Equipment operating in tough environments, etc. 【Automatically included as a "Peace of Mind Benefit" from September 2021!】 ▼ "Zero Wait Manufacturing Ticket" that allows production to start immediately without waiting for replacement parts ▼ "IoT Risk Compensation" in collaboration with THK and an insurance company *If you would like a catalog introducing "OMNl edge," please request it through "Contact Us" or view it via "PDF Download.

"OMNl edge" is an IoT service that visualizes the current state of components by simply attaching sensors, enabling anomaly detection. When any component is in a "different than usual" state, an email notification is sent. It can be easily retrofitted to equipment that is already in operation. By packaging it, we solve the challenges of "difficult IoT implementation, setup, and operation" all at once. 【Features】 ■ Collect and analyze the state of components with the THK SENSING SYSTEM ■ Notify responsible personnel via email about any abnormalities in components ■ Visualization of component status ■ Achieve efficiency in maintenance operations, reduce inventory management costs, and improve equipment utilization rates ■ Support smooth execution of production plans *For more details, please refer to the PDF document or feel free to contact us.

"OMNl edge" is a system that visualizes the condition of parts numerically by simply attaching sensors to them. It can be easily retrofitted to equipment that is already in operation. <This system solves the following problems> ■ Maintenance relies on the experience and intuition of skilled workers ■ Although implemented with TBM (Time-Based Maintenance), it tends to be over-maintained ■ Want to introduce IoT, but costs are too high ■ Sudden failures, etc. <Applicable parts and equipment> ◎ LM guides ◎ Ball screws ◎ Actuators ◎ Machine tools ◎ Injection molding machines ◎ Robot transport platforms ◎ Packaging machines ◎ Equipment operating in tough environments, etc. 【Features】 ■ By understanding the condition of linear motion components' damage and lubrication in numerical terms, decision-making is not dependent on individuals ■ Detects signs before failure. Prevents sudden breakdowns and reduces costs and labor hours ■ Notifies responsible personnel of abnormalities in parts via email ■ Achieves reduction in inventory management costs and improvement in equipment operating rates ■ Supports smooth execution of production plans ■ Comprehensive support for Before/After *For details, please refer to the catalog available for download in PDF format.

The equipment maintenance operations at manufacturing sites are typically managed using Excel or paper-based systems. However, managing and sharing data is cumbersome, leading to many challenges such as searching for past trouble histories and managing inspection schedules. Our "Maintenance Integrated Management System" is a cloud service that addresses these issues, achieving greater efficiency in maintenance operations and improved equipment uptime. 【Use Cases】 - Manufacturing sites managing multiple pieces of equipment - Factories where equipment failures or troubles leading to downtime are problematic - Companies looking to reduce the burden on maintenance personnel - Companies wanting to develop maintenance plans based on data 【Benefits of Implementation】 - Significant reduction in data management workload - Improved equipment uptime - Prevention of unexpected troubles - Promotion of personnel development through increased efficiency in maintenance operations - Reduction in maintenance costs

In automotive manufacturing, stable operation of equipment directly impacts production efficiency. However, managing with Excel or paper-based systems presents various challenges, such as delays in information sharing, difficulties in data retrieval, and increased operational burdens. Our "Maintenance Integrated Management System" is a cloud-based optimization system for maintenance operations that addresses these challenges and contributes to the stabilization of production lines. 【Usage Scenarios】 - Maintenance operations for automotive manufacturing lines - Management of inspection records, repair histories, and parts replacement records - Implementation of preventive maintenance based on past trouble histories - Real-time monitoring of equipment operational status and repair conditions - Streamlining information sharing among maintenance personnel 【Benefits of Implementation】 - Achieving efficiency and labor-saving in maintenance operations - Improving equipment operating rates and reducing trouble occurrence rates - Cost reduction through planned maintenance activities - Stabilization of production lines through rapid response and information sharing - Quality improvement through data-driven enhancement activities

In food manufacturing sites, the management of various types of equipment maintenance is a challenge. Managing data through Excel or paper-based methods takes time for data entry and retrieval, making it difficult to check past trouble histories. Additionally, managing inspection schedules and responding to unexpected failures requires rapid information sharing. Our "Integrated Maintenance Management System" is a cloud service that addresses these challenges and streamlines maintenance operations in food manufacturing environments. **Usage Scenarios** * Equipment maintenance for manufacturing lines in food factories * Regular inspections of conveyor systems and packaging machines * Rapid response to equipment failures * Improved work efficiency for maintenance personnel * Preventive maintenance of equipment based on maintenance data **Benefits of Implementation** * Significantly reduces data management workload and achieves operational efficiency * Quickly searches past trouble histories to facilitate root cause analysis * Improves equipment uptime through planned maintenance activities * Prevents unexpected failures and reduces the risk of production stoppages * Enables improvement proposals for equipment based on maintenance data

The equipment maintenance operations in chemical plants face numerous challenges, including vast data management and responses to unexpected troubles. Our "Maintenance Integrated Management System" is a cloud-based system that addresses these challenges, ensuring safe operations and efficient maintenance. 【Usage Scenarios】 - Regular inspections, repairs, and maintenance of equipment in chemical plants - Management and analysis of past trouble history - Visualization of equipment operating status and anomaly detection - Progress management and reporting of maintenance work - Information sharing across multiple locations 【Benefits of Implementation】 - Transitioning from Excel and paper-based management to efficient data management - Contributing to the prevention of recurrence by easily searching and analyzing past trouble history - Formulating appropriate maintenance plans by visualizing equipment operating status - Enabling rapid responses through real-time information sharing - Cost reduction through the efficiency of maintenance operations

The maintenance operations in the electricity and gas industries face numerous challenges, including vast data management and responses to unexpected troubles. Our "Integrated Maintenance Management System" is a powerful tool designed to address these challenges and support safe and stable power supply. 【Usage Scenarios】 * Power Plants: Deterioration of equipment due to aging, management burden of inspection records, response to unexpected troubles * Gas Supply Facilities: Regular equipment inspections, ensuring safety, emergency response * Transmission Networks: Equipment monitoring, anomaly detection, rapid response 【Benefits of Implementation】 * Quick response is possible due to easy searching of past trouble histories and inspection records, reducing downtime * Implementation of planned maintenance activities extends equipment lifespan and achieves stable operations * Real-time information sharing strengthens collaboration among stakeholders and supports rapid decision-making * Data-driven analysis realizes efficiency in maintenance operations and cost reduction

We would like to introduce our "Maintenance Integrated Management System." <Do you have any of these concerns?> ■ Managing equipment maintenance information with Excel or paper is burdensome ■ It's difficult to search for past trouble history ■ Transcribing inspection sheets into Excel is a hassle ■ I don't know the status of equipment repairs ■ Scheduling inspections and managing progress is challenging, etc. The Maintenance Integrated Management System links equipment and maintenance (such as inspection records) information for centralized management in the cloud. You can quickly access everything from past trouble history to the latest status, significantly reducing the labor involved in data management. Additionally, it allows for real-time sharing of inspection scheduling, unexpected equipment failures, and repair statuses with relevant parties. Please feel free to contact us when you need assistance. 【Features】 ■ Centralized management of equipment maintenance data in the cloud ■ Supports scheduling of planned maintenance activities ■ Shares the latest status in real-time with relevant parties *For more details, please refer to the PDF document or feel free to contact us.

We would like to introduce our "Skill Management AI Solution." By moving away from paper and Excel management for each department and centralizing management in the cloud, we maximize the efficiency of skill management, including analysis of skills that may be lost in the future, planning of training programs, and progress tracking. Furthermore, by integrating skill data with OMNIedge's predictive maintenance data, we can display the optimal maintenance personnel for equipment where anomalies are detected, allowing for optimized personnel allocation. 【Features】 ■ Centralization and visualization of skills ■ Planned human resource development ■ Optimization of personnel allocation *For more details, please refer to the PDF document or feel free to contact us.

Manufacturing equipment and utility facilities that are essential to the production line often use rotating parts, and the frequency of maintenance remains high, placing a significant burden on maintenance management. In response to our customers' requests to "improve maintenance levels," our company will expand our support for rotating parts with our existing concepts of "easy retrofitting," "a safe communication network that allows for reliable data utilization," and "affordable pricing to get started." 【Applications】 - Manufacturing equipment on production lines - Process automation - Industries where numerous devices are maintained in locations away from the office You can visually inspect the condition on-site during patrols and monitor remotely from the office. This helps prevent significant losses caused by equipment failures between patrols. *For more details, please view the catalog available for PDF download.

The predictive detection AI solution 'OMNIedge' is designed to reduce losses in production sites and contribute to maximizing Overall Equipment Effectiveness (OEE). It addresses the following concerns in production environments: 【Disruption of human work】 - Management losses - Motion losses 【Disruption of equipment efficiency and operational levels】 - Failure losses - Setup and adjustment losses - Tool change losses 【Obstacles to efficiency】 - Yield losses - Energy losses To tackle these challenges faced by the manufacturing industry, THK offers assistance through retrofitted IoT solutions. *For more details, please download the PDF or contact us.

In recent years, the production equipment in factories has been advancing with the introduction of cutting-edge technologies such as automation, IoT, and AI. On the other hand, there are various issues emerging regarding the human resources responsible for operating and maintaining the equipment, such as the increasing skill requirements due to the aging and complexity of the equipment, and delays in the transfer of technology caused by the retirement of veteran employees. This article introduces a skill management system called "Skill Management AI Solution," which focuses on the issues and challenges related to human resources faced in the manufacturing industry. *For more detailed information, please refer to the related links. Feel free to contact us for further inquiries.*

"OMNI edge" is a platform that reduces various losses occurring in production sites and maximizes OEE (Overall Equipment Effectiveness). The GX solution significantly reduces setup labor while supporting the visualization of energy consumption (electricity, water, gas, etc.) at both process and equipment levels across the entire factory. [Features] ■ Easy Installation With a daisy-chain type power sensor, installation can be done with minimal wiring and space-saving even in narrow panels. It is possible to quickly aggregate power consumption remotely using a dedicated communication line. ■ Visualization of Power Consumption by Equipment and Line In addition to the overall power consumption of the factory, the grouping function of the sensors calculates the power consumption ratio by equipment and line. This allows for accurate measurement of investment effects and environmental performance when relocating equipment or introducing energy-saving devices, contributing to the formulation of effective measures. ■ Real-Time Monitoring of Demand (Maximum Demand Power) A demand threshold can be set in advance. If it seems likely to exceed this threshold, a notification will be displayed on the app screen to prevent demand excess. *For more details, please download the catalog or feel free to contact us.

This document introduces the solution provided by THK Co., Ltd., the "Maintenance Integrated Management System." It explains the challenges faced by equipment maintenance operations due to increasing personalization and complexity of tasks, the introduction of systems that are key to problem-solving, and the "visualization" of manufacturing sites. If you are struggling with decreased operational rates of production equipment or the complexity and personalization of maintenance tasks, please feel free to consult with us. [Content Overview] ■ Equipment maintenance operations are suffering from increasing personalization and complexity of tasks The key to problem-solving is the introduction of systems optimized for the manufacturing site ■ Centralized management of previously scattered equipment maintenance information through data digitization Visualizing the manufacturing site to improve the efficiency of maintenance operations *For more details, please download the PDF or feel free to contact us.

The machining accuracy of a machining center is directly linked to product quality and production efficiency. If the machining accuracy is low, the performance will not meet the design specifications, leading to decreased quality and reliability. As a result, the number of defective products and rework increases, lowering the "production yield (good product rate)" and adversely affecting delivery times and costs. In fact, defects and rework caused by tool chipping result in time loss, and in some cases, can lead to the complete disposal of processed items. This article organizes the five essential factors that influence the machining accuracy of machining centers, confirms the limitations of conventional tool management methods, and introduces THK's OEE (Overall Equipment Efficiency) maximization platform "OMNIedge," along with the effects of its tool monitoring AI solution and case studies. *For detailed content of the article, please refer to the PDF. For more information, feel free to contact us.

Stable operation at manufacturing sites is a management issue that affects sales and profits. If equipment stops, production is delayed, leading to serious risks such as missed deadlines and decreased quality. This is why the question of "how to maintain efficient operations and enhance productivity" is always raised. Traditional periodic inspections and reactive measures are insufficient to cope with the advancement of equipment and the complexity of production lines. On-site, there are issues such as prematurely replacing still usable parts, wasting costs, or, conversely, unexpected failures occurring between inspections, causing production lines to halt. In light of the above, "preventing failures and maximizing operational efficiency" is crucial in the manufacturing industry. This article will explain these challenges and their solutions. *For detailed content of the article, please refer to the PDF. For more information, feel free to contact us.*

In the manufacturing field, downtime due to unexpected failures is a challenge. One of the measures gaining attention is "predictive maintenance." This article will explain the mechanism of predictive maintenance, its differences from preventive and corrective maintenance, the implementation steps and on-site challenges, as well as successful examples of THK's "OMNIedge" utilizing IoT/AI. *For detailed content of the article, you can view it in PDF format. Please feel free to contact us for more information.