pCUT pattern optimization

pCUT pattern optimisation is a software tool for efficiently generating cutting patterns used in chip board industry. This software not only minimizes cut loss but maximizes the profit (optimum of cut loss and machine throughput).

Additionally to the pattern generation kernel using state of the art optimisation techniques, pCUT provides a graphical user interface to manage orders and edit cutting patterns. pCUT comes with an interface to production planning systems like SAP, a data base to handle customer related stacking and packing information and the possibility to send the cutting patterns online to the saw.

Currently, online interfaces are realized with Siempelkamp/Schwabedissen, Anthon, Schelling and Holzma.

   

Input
  • Table-based representation and input of optimization jobs
  • Table-based representation and input of saw parameters (e.g.: Number of saws, seams, dimensions, timing, etc.)
  • Import of optimization jobs from other data bases via ODBC or via Remote Function Call from SAP
  • Import of optimization jobs from various file formats
   

Optimization
  • Optimized for large industrial systems
  • Very fast optimization algorithm—specifically for complex and large orders
  • Batch optimization of orders
  • Presentation of up to 24 optimization solutions per order
  • Optionally with head cuts
  • Optionally with staged cuts
  • Optimization considers restrictions like seams, stacking positions and clamping
  • Choice of aggregation of positions of the same size
   

Result
  • Concise graphic representation with advanced editor
  • Table-based representation of results—can be sorted by specific parameters for easy selection and editing (e.g. costs, sawing time, clipping, overdelivery, number of plans, cycles, number of stacking boxes)
  • Large number of printable reports
   

Export
  • Cutting pattern can be exported directly to chip board cutting systems of different manufacturers (e.g. Siempelkamp, Giben, Holzma, Schelling, AnThon, Schwabedissen)
  • Rule-based hierarchical stacking data base
 
© 2021 Altanis GmbH
 Last changed on 18. June 2021 Imprint