Biesse OptiPlanning is an optimization software designed to manage the sectioning phases of panel-sizing operations for both small and large-scale manufacturing. It is specifically developed by Biesse to integrate with their range of panel saws, including Selco models, to minimize material waste, reduction of production costs, and shortening of cycle times. Core Functionality and Capabilities
The software is available in several tiers tailored to different production volumes and complexity requirements: biesse optiplanning software
: Ensuring you get the most "yield" out of every sheet. Biesse OptiPlanning is an optimization software designed to
is a robust solution for manufacturers who cut high volumes of irregular shapes and want to aggressively reduce material waste. It removes the manual calculation from the nesting process and creates a closed loop between your material warehouse and your CNC machine. is a robust solution for manufacturers who cut
Prioritizes the absolute lowest material waste.
| Feature Category | Key Capabilities | How It Streamlines Production | | :--- | :--- | :--- | | | Minimizes material waste; Uses advanced algorithms; Balances material cost vs. processing time | Reduces raw material spend while maintaining efficient cut sequencing for minimal machine idle time. | | Graphical Simulation | Real-time 2D preview of cutting patterns and sequences | Allows operators to visualize and verify cuts before they happen, reducing errors and setup time. | | Order Management | Consolidates multiple order lists into a single job | Enables efficient batching of small orders, reducing material handling and maximizing saw utilization. | | Integration & Import/Export | Manual cutting list entry; ASCII interface for external data; XML export for OSI controllers | Seamlessly connects design software and ERP systems to automate data flow, eliminating rekeying errors. | | Reporting & Analytics | Comprehensive production statistics; Machine performance tracking | Provides data-driven insights to fine-tune the production process, identify bottlenecks, and monitor machine health. |
