OPTIMON SOFTWARE FOR FABRIC CUT OPTIMISATION

OPTIMON SOFTWARE FOR FABRIC CUT OPTIMISATION – LINEAR CUT OPTIMISATION SOFTWARE
The OPTIMON software is designed to limit production waste and better satisfy customer requests in the textile industry. While our specific experience is focused on fabric cut optimization, the software is suitable for all products that need to be fractioned from a big roll into smaller rolls.
The Optimization Process
The process typically starts with a certain amount of finished or semi-finished material, where all quality features that can affect the fabric cut are known. These features are detected through visual inspection by human operators or automatic camera-based systems, including all fabric defects, their size and position, as well as other characteristics like shade of color and width.
The optimization software considers all these quality features and the constraints imposed by subsequent processes or final customers.
Constraints in Fabric Cutting
Constraints can be divided into two main groups:
1. Dimensional Constraints
- Each final customer defines minimum and maximum sizes for acceptable rolls
- For rolls made of multiple sewn pieces, each piece must typically have a minimum size
2. Qualitative Constraints
- Defects are classified as "acceptable" or "to be cut away"
- "Acceptable" faults are only tolerated within certain limits
- The number of defects or their "demerit points" are considered within a given length of fabric
- Fault concentration and position within the roll are important factors
Advantages of OPTIMON Software
Increased production yield by maximizing first quality fabric and reducing second quality and scrap
Ability to preview fragmentation results before physical cutting
Opportunity to rework fabric or reassign it to different customers with varying requirements
Enhanced focus on production defectivity control and its real impact
Conclusion
OPTIMON software proves invaluable in making complex cutting decisions that are often impossible for human operators to optimize. By considering multiple factors and constraints, it significantly improves fabric utilization and helps manufacturers meet diverse customer requirements more effectively.