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Conservation Solutions Product List and Ranking from 7 Manufacturers, Suppliers and Companies

Last Updated： Aggregation Period:Sep 17, 2025～Oct 14, 2025
This ranking is based on the number of page views on our site.

Conservation Solutions Manufacturer, Suppliers and Company Rankings

Last Updated： Aggregation Period:Sep 17, 2025～Oct 14, 2025
This ranking is based on the number of page views on our site.

  1. アスペンテックジャパン/AspenTech Tokyo//software
  2. 大喜産業 Osaka//Machine elements and parts
  3. ティーネットジャパン （製造DX支援事業） Tokyo//IT/Telecommunications
  4. Kyoritsu Electric Corporation Shizuoka//Industrial Electrical Equipment
  5. 5 NTC Tokyo//IT/Telecommunications
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Conservation Solutions Product ranking

Last Updated： Aggregation Period:Sep 17, 2025～Oct 14, 2025
This ranking is based on the number of page views on our site.

  1. Aspen Mtell Predictive Maintenance Solution アスペンテックジャパン/AspenTech
  2. Predictive and preventive maintenance solutions ティーネットジャパン （製造DX支援事業）
  3. Predictive maintenance solutions by a gearbox manufacturer / Sumitomo Heavy Industries 大喜産業
  4. Predictive maintenance solution for machinery and equipment through temperature and vibration monitoring. IndyGo
  5. 4 Solution Catalog Vol 4 [Equipment Maintenance Edition] Kyoritsu Electric Corporation

Conservation Solutions Product List

1～8 item / All 8 items

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Aspen Mtell Predictive Maintenance Solution

Aspen Mtell Predictive Maintenance Solution

Improving efficiency, reliability, and productivity through data-driven maintenance.

Achieving operational and profitability goals in capital-intensive enterprises is largely influenced by the ability to avoid (or minimize) asset failures and the resulting unplanned downtime. Aspen Mtell is characterized by its comprehensive solution that combines rule-based and condition-based monitoring, first-principles modeling, AI machine learning, and custom models developed by data science teams to monitor asset health and performance. Aspen Mtell meticulously tracks various operational parameters and captures subtle changes in behavior to quickly identify signs of anomalies, effectively and rapidly assessing asset risks. This enhances asset reliability, reduces operational costs, and strengthens commitments to safety and sustainability.

  • Plant Maintenance
  • Other plant design, development and maintenance

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Predictive maintenance solution for machinery and equipment through temperature and vibration monitoring.

Predictive maintenance solution for machinery and equipment through temperature and vibration monitoring.

Real-time monitoring of temperature and vibration at all times! It is possible to use this for analysis and to understand the appropriate maintenance timing.

The solutions we provide enable predictive maintenance of machinery by allowing real-time monitoring of temperature and vibration from a remote location. For example, when the temperature or acceleration values detected by a BLE sensor attached to a compressor exceed a pre-set threshold, an alarm is triggered via Email or SMS. The collected data is stored long-term on a cloud server, making it possible to assist in analysis and understanding the appropriate timing for maintenance. 【Features】 ■ Real-time monitoring of temperature and vibration from a remote location ■ Long-term storage of collected data on a cloud server ■ Useful for analysis and understanding the appropriate timing for maintenance *For more details, please refer to the PDF document or feel free to contact us.

  • Other security and surveillance systems
  • Vibration Monitoring
  • Other information systems

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Predictive and preventive maintenance solutions

Predictive and preventive maintenance solutions

Eliminate 'stopping' at the work site! By preventing troubles in advance, it is possible to minimize downtime!

Our company offers a "Predictive and Preventive Maintenance Solution" to eliminate stoppages in factories and manufacturing sites. By utilizing data obtained from equipment, we can anticipate sudden failures and stoppages in advance, achieving an efficient environment that minimizes downtime. Additionally, by implementing predictive and preventive maintenance, we can appropriately time the repair or replacement of parts, allowing for a flexible system to be established with the minimum number of personnel needed, without unnecessarily increasing maintenance staff. 【We solve the following issues】 ■ Unnecessary costs for parts replacement are occurring ■ Unnecessary costs for maintenance personnel are being incurred ■ Data is not being effectively utilized *Free consultations are currently available! *For more details, please refer to the related links or feel free to contact us.

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  • ナクサナイト_ロゴ.jpg
  • Other information systems

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Predictive maintenance solutions by a gearbox manufacturer / Sumitomo Heavy Industries

Predictive maintenance solutions by a gearbox manufacturer / Sumitomo Heavy Industries

We propose a comprehensive solution to ensure you can use your equipment safely and for a long time!

This document introduces the maintenance solutions proposed by Sumitomo Heavy Industries. It includes information on our "nationwide service network" and "know-how as a gear reducer manufacturer." Additionally, it features products such as the condition monitoring systems (CMS) "TYPE-P," "S-CMS," and "CycloSMART," so please take a moment to read through it. [Contents (partial)] ■ Our maintenance solutions - Maintenance solution cycle - Predictive maintenance × nationwide service network - Predictive maintenance × know-how as a gear reducer manufacturer - Predictive maintenance × comprehensive support system *For more details, please refer to the PDF document or feel free to contact us.

  • Gearbox

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Manufacturing Trouble Automatic Detection Solution 'LOSS0'

Manufacturing Trouble Automatic Detection Solution 'LOSS0'

Let's start utilizing AI at a low cost! An AI platform for predictive maintenance using production equipment data.

In recent years, there has been an increase in cases where AI and IoT are used to solve the concerns of production sites, such as "I want to identify the root causes of equipment troubles" and "I want to detect equipment troubles a little earlier." However, considering costs, many companies may find it difficult to take that first step. NTC offers an AI-based predictive maintenance solution that allows for a small start to meet the needs of customers who say, "I want to utilize IoT, machine learning, and artificial intelligence (AI) for predictive maintenance of equipment, but I want to keep costs down..." This solution creates "rules" from past data regarding potential trouble cases and predicts whether future data will lead to troubles. When a predictive result detects a sign of trouble, it can facilitate early detection of issues and predictive maintenance by sending emails to operators or activating warning lights on-site. These mechanisms allow customers to accumulate know-how within their organization as a unique AI foundation, and by implementing a PDCA cycle, it is possible to improve the detection of more advanced troubles and enhance detection accuracy. *For more details, please download the catalog or contact us.*

  • Company：NTC
  • Price：Other
  • Other information systems

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Quick Guide to Starting Predictive Maintenance

Quick Guide to Starting Predictive Maintenance

"Equipment maintenance activities are shifting from 'maintaining before failure' to predictive maintenance that 'detects abnormalities at the warning stage'." *Free explanatory materials are currently available.*

Maintenance activities to ensure stable operation of equipment within facilities are crucial for running a business. In the past, the mainstream maintenance approach was "repairing after a failure" or reactive maintenance, but it has gradually shifted to "performing maintenance before a failure occurs," known as preventive maintenance. However, it is also true that there are challenges such as "the need to stop equipment (TBM)" and "only skilled workers can understand the condition of the equipment (CBM)." Therefore, the challenges of preventive maintenance are being addressed through IoT and AI, leading to a higher level of maintenance. Predictive maintenance, which detects abnormalities at the warning stage, is gaining traction. This document provides a clear explanation of how to implement "predictive maintenance." [Contents (partial)] ■ What it means to be in a state of predictive maintenance ■ Steps for implementing predictive maintenance ■ Case studies ■ Conclusion ■ Solution introduction *Free materials are currently available! Please be sure to read them from "PDF Download."

  • Other information systems

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Solution Catalog Vol 4 [Equipment Maintenance Edition]

Solution Catalog Vol 4 [Equipment Maintenance Edition]

Solving labor issues and human errors in manual tasks with solutions utilizing IIoT! In Vol. 4, we will introduce the [Equipment Maintenance Edition].

In Solution Catalog Vol. 4 [Equipment Maintenance Edition], we will introduce solution examples that leverage Kyokuritsu Electric's technical expertise and purchasing capabilities in the IIoT field, which they excel in. Please check out the best proposal examples that can only be provided by Kyokuritsu Electric, which offers solutions under the banner of One Stop Shopping.

  • Other production management systems

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Benefits and Applications of Introducing AI Technology in Predictive Maintenance

Benefits and Applications of Introducing AI Technology in Predictive Maintenance

Explaining the utilization methods and benefits of AI technology based on the objectives of predictive maintenance in manufacturing sites.

As the smart factory transformation in the manufacturing industry is being promoted, predictive maintenance incorporating AI technology is gaining attention to achieve stable operation of production equipment and machinery. By accumulating various data generated in the production process and utilizing the learning techniques and analytical capabilities of AI, it is expected to strengthen the equipment maintenance system. This article explains the purpose of predictive maintenance in manufacturing sites, as well as how to utilize AI technology and its benefits. *For more details, you can view the related links. Please feel free to contact us for more information.*

  • Other information systems

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