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PdMechanics
Turkey
C
1-10 Employees
-
Key takeaway
Pdmechanics enables efficient predictive maintenance for production machines in the chemical industry, enhancing reliability through accurate risk scoring and advanced data analytics. By utilizing wireless sensor solutions, Pdmechanics detects anomalies and identifies emerging failures days in advance, thus preventing unplanned downtimes and boosting production capacity.
Reference
Core business
Kestirimci Bakım - Pdmechanics
PdMechanics’in uçtan uca kestirimci bakım çözümü ve erken arıza teşhisleri ile plansız duruşların önüne geçin, üretim gücünüzü artırın.
Artesis Technology Systems
Turkey
C
11-50 Employees
1999
Key takeaway
Artesis is a leading company in predictive maintenance and condition monitoring, offering a range of intelligent products and solutions designed to prevent production interruptions. Their advanced Predictive Maintenance (PdM) solutions, including the AnomAlert system, enhance operational efficiency and support the transition to Industry 4.0.
Reference
Core business
Condition Monitoring and Predictive Maintenance | Artesis
Artesis is one of the world's leading companies in predictive maintenance and condition monitoring. If you search USA based solutions feel free contac us today.
Micromarin Software
Pendik, Turkey
C
11-50 Employees
2009
Key takeaway
Micromarin Software focuses on developing user-friendly products for the maritime industry, including systems for planned maintenance. Their approach allows for the creation and integration of equipment maintenance schedules, which can enhance predictive maintenance efforts by ensuring timely procurement and up-to-date inventory management.
Reference
Service
Pms Data Integration - Micromarin Software
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Excel-Templates.com
Kuşadası, Turkey
C
1-10 Employees
2017
Key takeaway
The company offers a comprehensive Maintenance Planning and Scheduling Excel Template designed to enhance predictive maintenance through efficient management of maintenance operations and detailed inspection processes. Their advanced templates include dynamic dashboards that provide immediate insights, facilitating informed decision-making and a proactive approach to maintenance challenges.
Reference
Core business
Maintenance Planning and Scheduling, Inspection, Lubrication Templates
Excel Templates for Maintenance Planning and Scheduling, Plant Inspection, Lubrication, Maintenance Budget, RCFA, FMEA, Common Failure Modes
DVM IoT Solutions
Turkey
C
1-10 Employees
2014
Key takeaway
The company's innovative suite utilizes IoT and advanced analytics for intelligent asset management, which is crucial for predictive maintenance. By optimizing monitoring and forecasting, it enhances operational efficiency in logistics.
Reference
Core business
DVM IoT Solutions
Sensemore
Turkey
C
1-10 Employees
2018
Key takeaway
Sensemore is committed to enhancing predictive maintenance through advanced technology and AI tools, enabling clients to monitor equipment health and anticipate potential failures. This proactive approach not only optimizes machinery performance and reliability but also supports sustainable production practices.
Reference
Core business
About Sensemore | Our Mission, Team, and Values
Sensemore team is dedicated to providing innovative solutions for predictive maintenance and improving the performance of industrial equipment
Selecta Global Consulting
Turkey
C
11-50 Employees
-
Key takeaway
The company emphasizes its expertise in fuel management systems and loss detection, which is crucial for predictive maintenance. Their daily monitoring and use of the SIR algorithm enhance loss detection, thereby minimizing environmental exposure and improving operational efficiency for their clients.
Reference
Service
Services – Professional Fuel Loss Detection
Turning Data and Insights into Action As loss detection became an increased concern for oil companies through its financial, technical, environmental and safety-related impact, sites have the need …
TorkCheck
Konak, Turkey
C
51-100 Employees
-
Key takeaway
TorkCheck, a company of Mağdenli, specializes in providing reliable and qualified maintenance services for wind turbines, ensuring all processes adhere to health, safety, and environmental standards. Their experienced teams focus on minimizing operational costs through effective predictive maintenance and service support.
Reference
Service
Maintenance & Service - Torkcheck Wind Turbine Service and Consulting CO.
4 Maintenance & Service Periodic Maintenance Service Support Retrofit Rope Access Our qualified teams minimize the operation costs during maintenance services while carrying out all necessary work steps in compliance with occupational health and safety rules
MP Technic
Turkey
C
251-500 Employees
-
Key takeaway
MP Technic specializes in providing customized maintenance programs and strategies for the cigarette industry, which aligns with the concept of predictive maintenance by focusing on innovative solutions that enhance operational performance and address the evolving needs of their customers. Their commitment to technical consulting and operational support ensures that production machinery is supported with effective maintenance practices.
Reference
Core business
Service - MP TECHNIC
VIZIO AI
Turkey
C
1-10 Employees
-
Key takeaway
The company's focus on predictive analytics highlights its commitment to empowering organizations through data-driven insights. Their tailored products and services aim to enhance operational efficiency and support informed decision-making, aligning with the principles of predictive maintenance.
Reference
Product
Predictive Analytics - Vizio AI | Discover our service packages
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A selection of suitable products and services provided by verified companies according to your search.
Product
edpem
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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.
The Predictive Maintenance industry in Turkey is influenced by several key factors that potential investors and companies should consider. First, the regulatory environment is evolving, with the Turkish government increasingly emphasizing Industry 4.0 technologies and digital transformation, which can create opportunities for predictive maintenance solutions. Understanding local regulations related to data privacy and cybersecurity is crucial for compliance. Challenges include the need for skilled professionals who can analyze data and implement predictive maintenance strategies effectively. Opportunities also exist due to the growing manufacturing sector in Turkey, which is increasingly adopting smart technologies to enhance operational efficiency. Environmental concerns are becoming more prominent, as industries seek to reduce waste and energy consumption, making predictive maintenance an attractive option for sustainability. The competitive landscape features both local players and international companies, creating a dynamic market that encourages innovation. Global market relevance is significant, as Turkish companies may seek partnerships and collaborations to integrate global best practices and technologies. Additionally, the demand for predictive maintenance is expected to grow as industries aim to minimize downtime and reduce operational costs, making it a promising area for investment and development in Turkey.
Some interesting numbers and facts about your company results for Predictive Maintenance
Country with most fitting companies | Turkey |
Amount of fitting manufacturers | 32 |
Amount of suitable service providers | 26 |
Average amount of employees | 11-50 |
Oldest suiting company | 1999 |
Youngest suiting company | 2018 |
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, Telecommunications, Manufacturing, Maritime and Ship Building
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.