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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
P.I. Works
Turkey
C
251-500 Employees
2005
Key takeaway
Works is a leading provider of AI-driven network management solutions, emphasizing innovation and automation to optimize network performance and reduce costs. Their expertise in artificial intelligence and machine learning positions them well for predictive maintenance applications in network management.
Reference
Product
P.I. Works - Premium Subscriber Care
Artificial intelligence assisted mobility experience management.
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 specializes in providing innovative fuel management systems and enhances loss detection services through daily monitoring and a proprietary SIR algorithm, which is accredited for its effective loss detection capabilities. This commitment to advanced monitoring directly contributes to minimizing environmental exposure for their clients.
Reference
Core business
Professional Fuel Loss Detection
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
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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
| 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
How does ensun find these Predictive Maintenance Companies?
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