Data Integration from Heterogeneous Control Levels for the Purposes of Analysis within Industry 4.0 Concept

Area of Science:

• Manufacturing Engineering
• Information Systems
• Industrial Management

Background:

• Small and medium-sized manufacturers require rapid adaptation of production processes.
• The pace of implementing changes in data integration and historicization impacts business operations.
• Current systems may lack the flexibility for swift production line modifications.

Purpose of the Study:

• To present methods for integrating control processes using modern technologies.
• To enable faster adaptation and modification of manufacturing production lines.
• To propose a model for integrating enterprise data across heterogeneous management levels.

Main Methods:

• Utilizing an object-oriented approach for complex integration tasks.
• Implementing data integration through tagging (TAG) for enhanced adaptability.
• Developing a model for integrating manufacturing enterprise data from various management levels.

Main Results:

• Tagging (TAG) facilitates identification, modification, and data structure generation.
• The proposed model integrates data from heterogeneous enterprise levels.
• The design procedure enables efficient adaptation to production changes.

Conclusions:

• The developed model and procedure support efficient adaptation of production lines.
• Tagging (TAG) is crucial for agile manufacturing environments.
• Integrating heterogeneous data sources enhances manufacturing flexibility and responsiveness.