Optimization of layouts for any equipment and paper format with minimal waste
Automatic calculation of the best printing option based on cost, area, and number of runs
Full control over all stages of layout preparation — from uploading to manual adjustment of the result
Visualization of layouts and printed sheets in a graphical interface with the ability to export data
Architecture
The result of the work of APS Polygraphy
Advantages
APS's intelligent algorithms analyze printed sheet area, layout parameters, and equipment process fields to calculate the ideal layout; wasted space is reduced to virtually zero.
The system automatically selects optimal paper formats, equipment, and print runs to minimize costs for paper, ink, and plate preparation; every run becomes cost-effective.
The operator can make changes to the layout at any time via the drag-and-drop interface, replacing, moving or adding layouts without recalculating the entire print run.
The system provides a detailed calculation of the startup cost, taking into account all parameters: the cost of paper, forms, ink, waste, and prints; all figures are available in real time.
Two-way data exchange with 1C, MES, and other internal enterprise systems via REST-API allows APS Polygraphy to be used as part of the overall digital production chain.
Additional features
- The system automatically imports orders, layouts, formats, and equipment parameters, eliminating manual input and reducing the risk of errors.
- Calculation of layout options based on several criteria simultaneously (waste, cost, number of launches) with the ability to select priorities and weights
- APS supports a hybrid mode, where some layouts are laid out automatically, while the operator quickly finishes the rest manually.
- Completed layout options are exported to .xlsx, .csv, .docx, and .txt formats for reporting, archiving, and sharing with related departments.
- Each layout option is saved in an archive with the ability to view statistics, compare and return to any saved solution
- The system is accessible both via a browser and as a desktop application; computing tasks are performed on a remote APS core, ensuring stable operation even with large data volumes.



