The B2B platform for the best purchasing descision. Identify and compare relevant B2B manufacturers, suppliers and retailers
Close
Filter
Result configuration
Continents
Select continent
Locations
Result types
Company type
Select company type
Industries
Select industry
Company status
Select company status preset
Number of employees
Min.
Max.
Founding year
(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
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
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.
Looking for more accurate results?
Find the right companies for free by entering your custom query!
25M+ companies
250M+ products
Free to use
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
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
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
Technologies which have been searched by others and may be interesting for you:
A selection of suitable products and services provided by verified companies according to your search.
Product
edpem
Go to product
Service
Offshore Converter Station Maintenance and Servicing
Go to product
Service
OperAID
Go to product
Service
Automotive Engineering
Go to product
A selection of suitable use cases for products or services provided by verified companies according to your search.
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.
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.
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.
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.
Some interesting numbers and facts about your company results for Predictive Maintenance
Country with most fitting companies | Japan |
Amount of fitting manufacturers | 5 |
Amount of suitable service providers | 6 |
Average amount of employees | 11-50 |
Oldest suiting company | 2003 |
Youngest suiting company | 2015 |
Some interesting questions that has been asked about the results you have just received for Predictive Maintenance
What are related technologies to Predictive Maintenance?
Based on our calculations related technologies to Predictive Maintenance are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Which industries are mostly working on Predictive Maintenance?
The most represented industries which are working in Predictive Maintenance are IT, Software and Services, Other, Semiconductor, Wholesale
How does ensun find these Predictive Maintenance Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.