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SNAGS Analytics - An AZTEC Group Company
Business Bay, United Arab Emirates
C
11-50 Employees
2017
Key takeaway
SNAGS Analytics specializes in providing innovative solutions and services, including Predictive Maintenance Analytics for electrical assets. Their commitment to state-of-the-art technologies aims to enhance the reliability and efficiency of power transmission systems.
Reference
Service
Predictive Maintenance Analytics Of Electrical Asset - snags
Proact Engineering Services LLC
Abu Dhabi, United Arab Emirates
C
1-10 Employees
2013
Key takeaway
PROACT specializes in proactive and predictive maintenance, utilizing advanced technologies like IoT, AI, and analytics to enhance operational efficiency and decision-making in industrial settings. Their services include vibration analysis, thermal imaging, and ultrasound-based monitoring, all aimed at improving reliability and productivity.
Reference
Service
PROACT | Services
Vibration analysis, Thermal Imaging / Thermography, Ultrasound leak detection, Ultrasound based bearing condition monitoring & electrical predictive maintenance
UPTIME DIGITAL SOLUTIONS UPDS
Sharjah, United Arab Emirates
C
1-10 Employees
2019
Key takeaway
UPTIME DIGITAL SOLUTIONS (UPDS) specializes in predictive maintenance through innovative condition monitoring and asset management solutions. Their focus on proactive maintenance and integration with Industry 4.0 and IoT technologies positions them as a key player in enhancing maintenance processes for heavy industries.
Reference
Service
Lubrication Management – Uptime Digital Solutions
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JORD INDUSTRIES FZC
Business Bay, United Arab Emirates
C
11-50 Employees
2006
Key takeaway
Jord Industries emphasizes its commitment to preventive maintenance and condition monitoring, which are crucial for reducing outages and enhancing the efficiency of HVAC and MEP systems. Their expertise in these areas supports their mission to modernize and maintain high standards in HVAC services.
Reference
Service
Condition Monitoring - Jord Industries
High End Systems LLC
Dubai, United Arab Emirates
C
11-50 Employees
2008
Key takeaway
High End Systems LLC offers bespoke maintenance programs, including preventive maintenance, which aligns with predictive maintenance practices. Their comprehensive maintenance contracts and specialized services ensure the optimal performance and protection of critical equipment.
Reference
Service
Maintenance – HETechnical
UPS MAINTENANCE Our specialized team we are providing full UPS maintenance that include but is...
Nivitrex Electromechanical Works CO LLC
Dubai, United Arab Emirates
C
51-100 Employees
-
Key takeaway
Nivitrex Electromechanical Works Co. emphasizes its commitment to high-quality maintenance and services, which aligns with the principles of predictive maintenance by ensuring project-specific quality measures and continuous quality assurance. Their dedicated team of experts focuses on customer satisfaction and effective project execution.
Reference
Service
Maintenance & Services – Nivitrex Electromechanical
Avenir Technologies FZE
Dubai, United Arab Emirates
C
1-10 Employees
2010
Key takeaway
RONDS offers a comprehensive wireless condition monitoring system that enhances predictive maintenance for industrial equipment. Their advanced systems enable effective monitoring and management of plant tools.
Reference
Service
Avenir Technologies
Advanced systems for conditioning monitoring of plant equipment and management of tools.
SteelCorr
Dubai, United Arab Emirates
C
1-10 Employees
2014
Key takeaway
The company utilizes Artificial Intelligence for corrosion monitoring and paint maintenance, offering clients a digital platform that tracks corrosion trends and estimates paint quantities. This approach not only reduces report preparation time but also provides an informative dashboard for timely maintenance decisions.
Reference
Service
Digital Paint Report - Steelcorr
Digital enables centralized management of all paint related data on a secured collaborative platform and empowers stakeholders to make informed decisions for cost and performance optimization.
C3 Automation
Dubai, United Arab Emirates
C
51-100 Employees
2002
Key takeaway
The company highlights predictive maintenance (PdM) as a key application of machine learning in the Industrial Internet of Things (IIoT), emphasizing its reliance on time-series data and the importance of IT/OT convergence in enhancing manufacturing operations. C3 Automation has played a crucial role in integrating these technologies, ensuring effective monitoring and control for optimized maintenance practices.
Reference
Product
Technologies - C3 Automation
Asset Integrity Engineering (AIE)
Sharjah, United Arab Emirates
C
51-100 Employees
-
Key takeaway
AIE is a prominent provider of asset integrity services that enhance operational reliability and safety, particularly for industries like Oil and Gas and Mining. They emphasize the importance of effective predictive maintenance programs that add value and help maximize plant performance while minimizing risks.
Reference
Product
Veracity RCM - Driving Reliability Maintenance To The Next Level - AIE
Is your maintenance programme effective? An effective preventative maintenance programme is one where: All PM activity is adding value by […]
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A selection of suitable products and services provided by verified companies according to your search.
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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 the United Arab Emirates, several key considerations come into play. The UAE's push for digital transformation and Industry 4.0 adoption presents significant opportunities for predictive maintenance solutions, particularly in sectors like oil and gas, manufacturing, and logistics. Understanding local regulations and compliance requirements is essential, as the UAE has specific standards that govern industrial operations and data management. Challenges such as the integration of advanced technologies, including IoT and AI, into existing infrastructures should be carefully assessed. Additionally, potential environmental concerns related to equipment maintenance and energy consumption need to be addressed. The competitive landscape includes both local and international players, necessitating thorough market research to identify leading companies and their offerings. Moreover, the global relevance of predictive maintenance continues to grow, with increasing investments in smart technologies and a focus on enhancing operational efficiencies. As businesses in the UAE seek to reduce downtime and optimize asset performance, understanding these factors will be crucial for anyone looking to engage with this industry.
Some interesting numbers and facts about your company results for Predictive Maintenance
Country with most fitting companies | United Arab Emirates |
Amount of fitting manufacturers | 117 |
Amount of suitable service providers | 161 |
Average amount of employees | 11-50 |
Oldest suiting company | 2002 |
Youngest suiting company | 2019 |
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, Oil, Energy and Gas, Administration, Automation, Electronics and Electrical engineering
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.