Data Analysis in CNC Machines

Data Analysis in CNC Machines

Industry 4.0 and CNC Machines

Industry 4.0 aims to monitor physical processes in modular smart factories using cyber-physical systems, enabling communication between objects and humans to facilitate decentralized decision-making. Instead of aiming for a fully automated factory, the goal is to create human-centered, high-value-added production processes by leveraging information technology capabilities.

Data Tracking in Existing CNC Machines

While CNC machines manufactured after 2010 are designed with built-in data tracking capabilities, older machines lack this infrastructure, making data collection a significant challenge, especially since replacing an entire machine park in a short period is not feasible.

CNC Production, Monitoring, and Efficiency Software

These software solutions:

· Analyze machine efficiency

· Provide real-time feedback on errors and issues

· Generate detailed reports for users

· Offer solutions for error-free production

Particularly, reporting downtime durations under subcategories such as breakdowns, setup, loading/unloading, and breaks allows businesses to use targeted data to improve processes.

Impact of Data Quality on Businesses

In businesses, tracking financial and physical transactions, monitoring operations, and making informed management decisions rely heavily on data quality.

High-quality data enhances:

· Enterprise resource planning (ERP)

· Customer relationship management (CRM)

· Supply chain management

· Performance management

· E-commerce solutions

Conversely, poor data quality can cause significant financial and reputational losses, especially in sales, logistics, and accounting operations.

Significance of CNC Machines in the Industry

CNC machines play a crucial role in automotive, defense, aerospace, medical, and machining industries, as they are essential for producing high-value-added industrial products.

During industrialization, machine tools act as a strategic sector that drives economic growth by enhancing the production capabilities of other industries.

Challenges in CNC Machine Utilization and Efficiency in Turkey

In Turkey, 95% of manufacturing industry companies are SMEs. However, many of them:

· Do not generate any machining-related data

· Fail to estimate their actual production capacities

· Make investments based on immediate needs rather than long-term planning

Average Age of Machine Tools in Turkey

The average age of machine tools in Turkey is 18-20 years, compared to 8-10 years in Europe.

· Due to high investment costs, machines remain in use for extended periods.

· The allowance for importing second-hand machines increases the overall age of the machine park.

· The inability to collect data from existing machines leads to decreased production efficiency.

For this reason, it is crucial to collect and analyze data from existing CNC machines to enhance operational efficiency and competitiveness.