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Worke Group Limited
London, United Kingdom
A
11-50 Employees
2017
Key takeaway
The company specializes in predictive maintenance solutions that utilize artificial intelligence to analyze sound patterns, providing early warnings of mechanical failures. Their technology enables efficient operation and effective maintenance strategies, ultimately minimizing downtime and optimizing operational costs.
Reference
Core business
Predictive Maintenance Solution in Malaysia | Worke Group
We are best Custom Software Development Company in Malaysia offers Predictive Maintenance Solution to grow your business. Contact us today!
Acutro
London, United Kingdom
A
11-50 Employees
2020
Key takeaway
Acutro empowers organizations to implement a condition-based maintenance model, enhancing their ability to utilize Predictive Maintenance for their CRE assets. By leveraging AI data models to provide real-time Asset Health AI scores, Acutro optimizes predictive maintenance and helps organizations make informed decisions about asset management and lifecycle costs.
Reference
Core business
Predictive Maintenance - Acutro
Dynamic Reliability Solutions
Manchester, United Kingdom
A
51-100 Employees
2017
Key takeaway
Dynamic Reliability Solutions offers a comprehensive condition monitoring service that enhances predictive maintenance efforts across various industries. Their experienced engineers provide tailored solutions and state-of-the-art online monitoring equipment, enabling real-time condition assessment of plant operations.
Reference
Core business
Dynamic
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Faraday Predictive Ltd
Cambridge, United Kingdom
A
1-10 Employees
2017
Key takeaway
Faraday Predictive specializes in condition monitoring and predictive maintenance, offering both portable and permanently installed systems. Their expertise, rooted in collaboration with Cambridge University, enables them to provide advanced solutions for the monitoring and optimization of rotating machinery.
Reference
Core business
Condition Monitoring & Predictive Maintenance | Faraday Predictive
CPM Engineering
Manchester, United Kingdom
A
11-50 Employees
1986
Key takeaway
CPM Engineering specializes in predictive maintenance through proactive strategies that prevent equipment failure. They utilize advanced Condition Based Monitoring techniques and Resource Management technologies to ensure the reliability and longevity of rotating plant and equipment across various industries.
Reference
Service
Condition Based Monitoring Company Manchester | Asset Services
CPM Engineering - Manchester Condition Based Monitoring Company providing Asset Maintenance Services and Predictive Maintenance Services...
Q ALERT SYSTEMS LTD
United Kingdom
A
1-10 Employees
-
Key takeaway
The company, Alert Systems Ltd., offers a comprehensive Preventive Maintenance program that utilizes advanced software and real-time data to enhance equipment reliability and performance. Their approach ensures that qualified personnel use approved methods and parts, ultimately decreasing overhead, increasing output, and eliminating downtime.
Reference
Service
Preventive Maintenance Training | Alert Systems Ltd.
INSPHERE Ltd
Bristol, United Kingdom
A
1-10 Employees
-
Key takeaway
The company, INSPHERE, focuses on developing innovative metrology sensor technology and software that enable predictive maintenance for automation. By capturing and analyzing data, they enhance manufacturing processes and contribute to the advancement of smart factories.
Reference
Product
Predictive Maintenance - Insphere
Predictive Maintenance for Automation Introduction to Predictive Maintenance Predictive maintenance is using data and evidence of performance to determine
FLEET DYNAMICS LIMITED
United Kingdom
A
11-50 Employees
-
Key takeaway
Fleet Dynamics Group specializes in preventative maintenance solutions for trucks and trailers, leveraging 24 years of experience in commercial vehicle maintenance. Their services include mechanical repairs and 24-hour breakdown assistance, making them a key player in predictive maintenance strategies.
Reference
Service
Preventative Maintenance
CBM Partners
Newport Pagnell, United Kingdom
A
11-50 Employees
2018
Key takeaway
CBM Partners emphasizes its commitment to enhancing reliability and productivity for UK and Ireland manufacturers through expert Condition Monitoring programs. Their proactive maintenance strategy aligns with the principles of predictive maintenance, offering data-driven insights that support innovative approaches to operational efficiency.
Reference
Service
Services - CBM Partners Condition Monitoring programs
Condition Monitoring programs provide the ability for a more proactive maintenance strategy and the data towards an innovative approach (Maintenance 4.0).
Proserv
East Hertfordshire, United Kingdom
A
1001-5000 Employees
1960
Key takeaway
Proserv emphasizes its commitment to predictive maintenance through its strategic alliances and investments in innovative condition-monitoring technologies, particularly for the energy sector. Their incorporation of advanced monitoring equipment enhances the reliability and efficiency of critical infrastructure, aligning with proactive maintenance strategies.
Reference
Product
Preventative Maintenance and Repair | Proserv
Preventative Maintenance and Repair. We improve the reliability, integrity, efficiency and productivity of critical infrastructure with industry leading controls technology.
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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Offshore Converter Station Maintenance and Servicing
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OperAID
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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 Kingdom, several key considerations are essential. Regulatory compliance is a significant factor, as businesses must adhere to safety and environmental standards set by UK legislation and EU directives. Understanding the challenges posed by data integration and cybersecurity risks is crucial, as predictive maintenance relies heavily on data analytics and IoT technologies. The industry presents various opportunities, particularly in sectors like manufacturing, transportation, and energy, where efficient asset management can lead to substantial cost savings and improved operational efficiency. The competitive landscape is marked by both established players and innovative startups, making it vital to evaluate a company's technological capabilities and experience. Environmental concerns also play a role, as predictive maintenance can contribute to sustainability efforts by reducing waste and emissions associated with equipment failures. Additionally, the global market relevance of predictive maintenance is growing, with advancements in AI and machine learning driving demand for these solutions. Companies looking to enter or invest in this industry should assess market trends, customer needs, and technological innovations to ensure they remain competitive and aligned with future developments.
Some interesting numbers and facts about your company results for Predictive Maintenance
Country with most fitting companies | United Kingdom |
Amount of fitting manufacturers | 1455 |
Amount of suitable service providers | 2465 |
Average amount of employees | 11-50 |
Oldest suiting company | 1960 |
Youngest suiting company | 2020 |
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, Manufacturing, Construction, Administration
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.