Productivity Increase
Sensor data shows machine operation in real-time.
Faster Fault Detection
In case of defects, data from different machines and systems can be checked to quickly find the
errors.
Predictive Maintenance
Automatic data collection allows predicting equipment failures, reducing the risk of downtime and
maintenance costs.
Simplifying Audit Reports
Reports require a lot of manual work. With data available, reports can be generated
automatically.
Additionally, some audits require data completeness and history, which cannot be ensured
manually.
Planning is Simple
Orders, BOMs, material availability, delivery info, employee schedules, and production line speeds
are all in one place.
Simplifying Communication Between Customer and Departments
A new order reaches the project, engineering, and procurement departments. After confirmation, the
information goes to production.
Master Data is Defined in One Place
Each dataset should have one place for adding and modifying, e.g., customer data is in the CRM, and
the material list is in the ERP.
Other systems must use this data, not re-enter it.
Inventory Simplification
If the BOM (recipe) of products is available, we know how much material has been consumed for each
finished product.
Process Optimization
Six Sigma describes process variability - how much reality differs from the model and past
production.
If there is a process model for production, sensor data, and operator notes, the production
efficiency can be automatically assessed.
Predictive Maintenance Using Machine Learning
Use machine learning to predict maintenance needs and avoid unexpected equipment failures, reducing
work interruptions.
Demand Forecasting and Raw Material Optimization
Machine learning allows precise forecasting of seasonal demand, optimizing production and inventory
management.
Production Speed Control
If the outbound warehouse is full, production speed is automatically reduced to avoid
overproduction.
System Adjustments According to Orders
System settings automatically change according to the order to ensure production efficiency.
Energy Monitoring
Equipment is automatically turned off when not in use, optimizing energy consumption according to
production needs.
Automating Preparations
Example: production equipment warms up for 2 hours - if automatically started according to the
production schedule, operator time is saved.
Quality Control Using Machine Vision
Machine vision systems monitor production lines, detecting product defects and ensuring consistent
quality.
Ensuring Safety with Machine Vision
Monitoring employee movement near production lines to automatically stop equipment if safety risks
are detected.
Factory Layout Simulation
Factory layout simulation allows virtually testing different machine layouts and workflows to find
the most efficient configuration.
Simulating the Production of New Products
Simulate the production of new products to assess their impact on existing production lines and
capacity.
Process Simulation
Simulate production processes to assess their efficiency and find opportunities for optimization.
