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Mirae Automation
Busan, South Korea
A
1-10 Employees
1998
Key takeaway
The company focuses on enhancing efficiency and product quality through engineering and installation of pneumatic, hydraulic, and vacuum systems. They also emphasize repair and lifespan prediction, indicating a commitment to predictive maintenance.
Reference
Product
Future automation co.
Hydraulic Tester, Actuator Tester, Hydraulic System, Vacuum System, Pneumatic System
SISTech Co. Ltd.
Seoul, South Korea
A
1-10 Employees
2021
Key takeaway
SISTech leverages engineering technology and artificial intelligence to enhance operational efficiency, which is crucial for predictive maintenance. Their AutoSHM platform offers real-time health monitoring and data analysis for bridges, utilizing machine learning models trained on historical data to proactively address maintenance needs.
Reference
Product
Planning & Consulting
The best group of experts provides planning and consulting for facility maintenance, national research and development, and asset management.
원프레딕트
Seoul, South Korea
A
51-100 Employees
-
Key takeaway
The company offers GUARDIONE®, a digital brain solution that utilizes industrial AI and IoT technologies to diagnose and predict the status of industrial assets, aligning perfectly with the concept of predictive maintenance. Their focus on sustainable industrial facilities and advanced technology enhances operational efficiency through proactive asset management.
Reference
Core business
About us | We Set a New Standard in the High-Tech Industry
Revolutionize your operations with onepredict's cutting-edge AI technology and deep facility expertise
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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
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Service
Offshore Converter Station Maintenance and Servicing
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Service
OperAID
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Service
Automotive Engineering
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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.
When exploring the Predictive Maintenance industry in South Korea, several key considerations come into play. The country boasts a robust manufacturing sector, driving demand for advanced maintenance solutions to minimize downtime and enhance operational efficiency. Understanding local regulations is crucial, as South Korea has stringent safety and environmental standards that affect technology deployment. The competitive landscape features both established companies and innovative startups, necessitating a thorough analysis of market players and their offerings. Additionally, the integration of IoT and AI technologies presents significant opportunities for enhancing predictive maintenance capabilities. However, challenges such as data privacy concerns and the need for skilled labor can impact the industry’s growth. Environmental considerations also play a vital role, as companies increasingly focus on sustainable practices and reducing carbon footprints. The global relevance of predictive maintenance continues to grow, with South Korea positioned as a key player in the Asia-Pacific region. This positioning may facilitate partnerships and collaborations with international firms, further advancing technological adoption. Overall, a comprehensive understanding of these factors will aid in making informed decisions when researching companies in South Korea's predictive maintenance sector.
Some interesting numbers and facts about your company results for Predictive Maintenance
Country with most fitting companies | South Korea |
Amount of fitting manufacturers | 2 |
Amount of suitable service providers | 2 |
Average amount of employees | 1-10 |
Oldest suiting company | 1998 |
Youngest suiting company | 2021 |
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
Who are Start-Ups in the field of Predictive Maintenance?
Start-Ups who are working in Predictive Maintenance are SISTech Co. Ltd.
Which industries are mostly working on Predictive Maintenance?
The most represented industries which are working in Predictive Maintenance are IT, Software and Services, Other
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.