Remote Nesting Strategy Optimization for Leather Cutting Yield
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
CNC leather processors face inefficiencies in material cutting due to time-consuming nesting strategy development, leading to suboptimal yield and waste, as operators often stick to initial strategies rather than exploring better options, due to the complexity and time required for serial testing of multiple strategies.
Innovation Solution
A system that separates the development of nesting strategies from the production environment, using a remote development environment to collect data, develop and optimize cutting strategies based on shape, defects, and material grade, and provide these strategies to the production environment for efficient cutting operations, leveraging computational power for iterative comparisons and statistical analysis to identify optimal layouts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of substance
If multiple nesting strategies are tested serially in production to determine optimal yield, then material yield is improved, but production time and complexity increase significantly
Solution Approach 1:
The system performs nesting strategy development and evaluation in advance, before actual production cutting begins. Multiple strategies are pre-computed and stored in a library, allowing the production system to simply retrieve and execute the optimal strategy without time-consuming serial testing during manufacturing.
Solution Approach 2:
The invention separates the nesting strategy development process from the production cutting process. The strategy development is performed independently in a separate system, and only the final optimized strategy is transferred to production, dividing the complex optimization task from the straightforward execution task.
2Loss of substance
If technicians experiment with multiple nesting strategies during set-up, then optimal yield strategy is found, but the process is time consuming and only a fraction of strategies are evaluated
Solution Approach 1:
A separate nesting strategy development system acts as an intermediary between the technician's initial strategy selection and the production cutting system. This intermediary system automatically evaluates multiple strategies using computational algorithms, replacing the manual trial-and-error process with automated optimization.
Solution Approach 2:
The manual mechanical process of technicians physically testing different nesting arrangements is replaced with computational algorithms that automatically evaluate multiple strategies. The system uses computer-based optimization methods to assess yield and complexity metrics without physical intervention.
3Loss of substance
If operators deviate from initial strategy selection to search for better strategies, then material yield may improve, but production throughput is reduced
Solution Approach 1:
The system automatically performs strategy optimization without requiring operator intervention. The nesting strategy development system independently evaluates strategies and selects the optimal one, eliminating the need for operators to manually search for better strategies and maintaining continuous production flow.
Solution Approach 2:
Optimal nesting strategies are determined in advance before production begins, so operators can simply execute the pre-determined strategy without deviation or additional searching during production, maintaining throughput while achieving optimal yield.
4Loss of substance
If multiple nesting strategies are evaluated with computational analysis, then optimal yield solution is achieved, but computing time and resources are required
Solution Approach 1:
All computational evaluation and strategy development is performed in advance during non-production time. The system computes multiple strategies, evaluates their yield and complexity, and stores the results in a library, so no computing time is required during actual production operations.
Solution Approach 2:
The computational-intensive strategy evaluation is segmented from the production process and performed in a separate development system. This allows the production system to focus solely on execution without computational overhead, separating optimization resources from manufacturing resources.
Data Source
AI summary
A system for processing a work-piece including a sheet of material into pieces includes a production environment configured for collecting data characterizing the work-piece and for subsequently cutting the work-piece into a plurality of products; and a development environment separate from the production environment, the development environment configured for receiving characterization data from the production environment, developing a nesting strategy for cutting the work-piece and providing the nesting strategy.