Big Data in Manufacturing
The Big Data module used in production by DBR77 will provide you with efficient operational and financial monitoring of processes and events in your manufacturing or logistics organization. Our technology and methods will allow you to have real-time insights into your processes.
DBR77’s Big Data service is available in the cloud and provides a methodology for acquiring, validating, and presenting data about production and logistics processes. Carefully chosen data sources enable increased efficiency and resilience to rapidly changing market conditions for your business.
Benefits of Implementation
KPIs of processes
We will effectively guide your company through the implementation of measuring key processes.
Automation of measurements
Cost-effective and automated data collection and decision-making
Cost reduction
Lean 4.0 is the possibility of implementing actions based on data.
The uniqueness of DBR77 Big Data solution
DBR77 Big Data is a way to measure and analyze only those truly crucial elements of the process.
Utilizing all available data sources (people, machines, robots, transport, warehouse areas),
Measurement of work, including non-sensorized objects.
Automation of archiving, indexing, and data validation.
Implementation Stages
Selection of Optimization Areas
The DBR77 team consists of
Identification of data required for optimization.
Using our databases, you can quickly determine which data is essential for your processes. Focus on what matters most. Avoid collecting unnecessary information.
Process measurement
Collect data quickly, inexpensively, and where they originate. With the Big Data DBR77 formula, you can measure every physical process on the plant premises.
Data archiving and validation
The collected data needs to be archived and properly indexed. A correct database allows for data validation and assessment of their business value. If necessary, we will fix your data.
Utilization of data
Verified and corrected datasets about your organization’s processes can be directly utilized or integrated into other software. Of course, they are also readily available for the DBR77 digital twin.
For whom?
Manufacturing plant
- Access to data in the cloud provides the opportunity to present data and reports anywhere and anytime they are needed.
- The possibility of optimizing production based on historical data.
- Real-time data access allows for automation of key decisions.
The technology provider
- Easy access to data in the cloud provides opportunities for data presentation and real-time reporting,
- Possibility of production optimization based on historical data, including analysis of machine downtime causes,
- Possibility of presenting workstation performance in a digital twin.
Integrator
- Easy access to data in the cloud provides opportunities for data presentation and real-time reporting,
- Possibility of production optimization based on historical data, including analysis of machine downtime causes,
- Possibility of presenting workstation performance in a digital twin.
