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Top Predictive Maintenance Companies in Japan

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6 companies for Predictive Maintenance in Japan

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(株)ハイボット's Logo

(株)ハイボット

Tokyo, Japan

A

11-50 Employees

2004

Key takeaway

HiBox, through its integration with hibot’s autonomous Smart Tools, emphasizes the importance of predicting failures in aging infrastructures. Their robots provide efficient and safe inspection capabilities, particularly in challenging environments, enhancing maintenance strategies.

Reference

Service

Services | Hibot

Hibot Website

DataLive's Logo

DataLive

Tokyo, Japan

A

- Employees

2003

Key takeaway

The company, Data Live, specializes in extending the maintenance period of IT hardware through third-party support, particularly after the End of Service Life (EOSL). Their EOSL extension maintenance service helps optimize IT costs and ensures the long-term operation of IT systems across various industries, supporting over 95,000 devices for 2,000 companies nationwide.

Reference

Core business

第三者保守のデータライブ|EOSL延長保守の専門企業

IT基盤の長期利用を支える日本の第三者保守プロバイダ。全国2000社95,000台の実績。メーカー保守期限後もサーバ、ネットワーク機器の障害に備えるEOSL延長保守サービスを提供。

INTERPOLATION's Logo

INTERPOLATION

Tokyo, Japan

A

1-10 Employees

2015

Key takeaway

Interpolation specializes in providing Internet of Things solutions that enhance operational efficiency and data analysis for businesses, particularly in the manufacturing sector. Their expertise in industrial IoT technology and data management can significantly support predictive maintenance efforts by enabling effective monitoring and analysis of equipment performance.

Reference

Core business

Interpolation

Industrial IoT solution provider. Data Aggregation and Optimization Solution Provider.

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eftax Co. Ltd.'s Logo

eftax Co. Ltd.

Amagasaki, Japan

A

11-50 Employees

2013

Key takeaway

The company specializes in planning and developing IoT systems, which can be integral to predictive maintenance strategies. Their comprehensive support includes sensor selection and cloud construction, essential for effective data analysis and operational efficiency.

Reference

Service

IoT / AI Installation Support Services | Services | 株式会社eftax | データ分析でビジネスを加速、非効率な作業をスマートに

ONTROX's Logo

ONTROX

Osaka, Japan

A

1-10 Employees

2010

Key takeaway

ONTROX co., Ltd. specializes in big data analysis, which is essential for implementing predictive maintenance strategies. Their expertise in data analytics can help organizations anticipate equipment failures and optimize maintenance schedules.

Reference

Product

MFA™ – Big Data Analysis | ONTROX co.,Ltd.

tei Solutions Inc's Logo

tei Solutions Inc

Tsukuba, Japan

A

1-10 Employees

2010

Key takeaway

Analytical Services tei Solutions provides a range of analytical characterization services that could be instrumental in predictive maintenance by enhancing failure analysis through advanced microscopy and spectroscopy techniques.

Reference

Service

Consulting Service - tei soltions


Related searches for Predictive Maintenance

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Products and services for Predictive Maintenance

A selection of suitable products and services provided by verified companies according to your search.

Product: edpem

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edpem

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Product: Offshore Converter Station Maintenance and Servicing

Service

Offshore Converter Station Maintenance and Servicing

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Product: OperAID

Service

OperAID

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Product: Automotive Engineering

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Automotive Engineering

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Use cases around Predictive Maintenance

A selection of suitable use cases for products or services provided by verified companies according to your search.

UseCase: Continuous monitoring

Use case

Continuous monitoring

Airport, Logistics

The challenge: A leading provider of ground services and cargo handling wanted to offer comprehensive solutions to the aviation industry. To drive innovation in key areas such as service, quality and reliability, the company wanted to improve visibility and communication through integration and networking across departments. Monitoring irregularities in process flows was critical to optimizing ground handling services. Working with multiple service providers and their disparate IT systems, which varied between airports and internal departments, was a challenge, while maintaining uninterrupted operations throughout the project. The solution: This multi-stage project used edpem, a process event monitoring tool, as the primary solution for monitoring ground services. To ensure fast aircraft turnaround times, the critical path in the process flow needed to be measured and monitored, especially when processes were transferred between suppliers. edpem recorded multiple events, including parking, disembarking completion, cleaning, catering, fuelling, crew boarding and loading completion. Service Level Agreements (SLAs) were tracked and monitored, and causes of delays identified and improved. Ground handling services were optimized by assessing service duration and process flow irregularities. In addition to monitoring traditional EDI processes, visualized reports improved reporting efficiency and facilitated faster decision-making. Key results included reduced turnaround times and fewer disruptions to flight operations. Our client: A major European airport provides ground services to approximately 265 million passengers annually and manages 4.6 million tonnes of global air cargo. Several warehouses are IATA CEIV certified for pharmaceutical logistics. In 2019, its 64,000 employees operated at 300 airports in 47 countries on six continents.

UseCase: Real-Time-Monitoring

Use case

Real-Time-Monitoring

Logistics

The challenge: The pharmaceutical company works closely with logistics service providers. Due to the volatile nature of the sector's order book, it was difficult to accurately predict capacity utilization, leading to recurring problems with service providers during collection. Service providers need timely information on freight volumes, collection details and the appropriate mode of transport. A key challenge was the sharing of real-time transport data. Another key concern was tracking and tracing, which proved difficult due to incomplete integration of certain areas of the warehouse management system. In addition, real-time monitoring of internal and external departments and service providers was required to optimize logistics processes. The solution: edpem was implemented as an end-to-end monitoring solution to improve logistics processes. The monitoring covered the entire delivery process, from SAP order documents and invoices to final delivery. Connection and monitoring of the warehouse management system was also part of the scope. Comprehensive tracking of goods throughout the supply chain enabled quick retrieval of information without involving other departments, saving valuable time and resources. Optimal vehicle selection for parcel collection and product tracking by batch were achieved. Internal IT system security was ensured, as external partners could only access edpem without needing permissions for internal applications. Parcel scanning enabled customer order tracking and tracing, early problem identification and real-time notification of process owners. edpem tracked the entire shipping process from packaging to customer delivery. The automation of electronic data interchange (EDI) provided new opportunities for superior service and quality for customers and logistics providers. Our customer: A pharmaceutical company based in Germany provides "Made in Germany" products to patients worldwide, with almost all products manufactured at its headquarters in Baden-Baden and distributed through an extensive network. Its main focus is on the research and production of medicines based on natural ingredients. The company has achieved global growth and operates in 50 countries.

UseCase: Continuous monitoring

Use case

Continuous monitoring

Airport, Logistics

The challenge: A leading provider of ground services and cargo handling wanted to offer comprehensive solutions to the aviation industry. To drive innovation in key areas such as service, quality and reliability, the company wanted to improve visibility and communication through integration and networking across departments. Monitoring irregularities in process flows was critical to optimizing ground handling services. Working with multiple service providers and their disparate IT systems, which varied between airports and internal departments, was a challenge, while maintaining uninterrupted operations throughout the project. The solution: This multi-stage project used edpem, a process event monitoring tool, as the primary solution for monitoring ground services. To ensure fast aircraft turnaround times, the critical path in the process flow needed to be measured and monitored, especially when processes were transferred between suppliers. edpem recorded multiple events, including parking, disembarking completion, cleaning, catering, fuelling, crew boarding and loading completion. Service Level Agreements (SLAs) were tracked and monitored, and causes of delays identified and improved. Ground handling services were optimized by assessing service duration and process flow irregularities. In addition to monitoring traditional EDI processes, visualized reports improved reporting efficiency and facilitated faster decision-making. Key results included reduced turnaround times and fewer disruptions to flight operations. Our client: A major European airport provides ground services to approximately 265 million passengers annually and manages 4.6 million tonnes of global air cargo. Several warehouses are IATA CEIV certified for pharmaceutical logistics. In 2019, its 64,000 employees operated at 300 airports in 47 countries on six continents.

Information about Predictive Maintenance in Japan

In the Predictive Maintenance industry in Japan, several key considerations are essential for thorough research. The regulatory environment plays a significant role, with strict compliance to safety and environmental standards, influenced by both local and international regulations. Companies must also navigate challenges such as the integration of advanced technologies, including IoT and AI, which are vital for effective predictive analytics. The aging infrastructure in Japan presents both opportunities and challenges; modernization efforts can drive demand for predictive maintenance solutions, particularly in sectors like manufacturing and transportation. Environmental concerns are increasingly relevant, as Japan prioritizes sustainability, leading to a focus on technologies that minimize waste and energy consumption. Additionally, the competitive landscape is marked by a mix of established firms and innovative startups, making it crucial to assess the technological capabilities and service offerings of potential partners or competitors. Understanding global market relevance is also important, as Japan's position as a technology leader impacts the adoption of predictive maintenance practices and can influence market trends across Asia and beyond. By considering these factors, individuals can gain valuable insights into the dynamics of the predictive maintenance industry in Japan.


Insights about the Predictive Maintenance results above

Some interesting numbers and facts about your company results for Predictive Maintenance

Country with most fitting companiesJapan
Amount of fitting manufacturers5
Amount of suitable service providers6
Average amount of employees11-50
Oldest suiting company2003
Youngest suiting company2015

Frequently asked questions (FAQ) about Predictive Maintenance Companies

Some interesting questions that has been asked about the results you have just received for Predictive Maintenance

Based on our calculations related technologies to Predictive Maintenance are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce

The most represented industries which are working in Predictive Maintenance are IT, Software and Services, Other, Semiconductor, Wholesale

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Predictive Maintenance results by various countries

Related categories of Predictive Maintenance