Optimizing Material Cutting Allocation
Our AI-powered solution streamlines the process of assigning orders to material roles in the Swiss machine industry, resulting in improved efficiency and cost savings. By leveraging historical data and employee experience, we've developed an effective tool for order allocation and reducing information loss.
noun /ˈbreɪk.θruː/
Solved for good
Optimal cutting allocation
The algorithm identifies the ideal cutting allocation optimising the work preparation.
Reduced wastage from residual material
Optimising the cutting allocation makes for less residual material that has to be scrapped.
Fully formalised algorithm
The algorithm provides a systematic way to prepare the workstations efficiently.
Optimizing order allocation
Orders to rolls
Our Swiss machine industry client faced challenges in efficiently assigning orders to specific material roles for cutting. The lack of a systematic method for cutting allocation relied heavily on employee experience, which led to potential optimization issues and increased risk of losing valuable information when employees retire. A vast pool of data was available to address this problem.
fabrications per day are impacted
Enhancing allocation
AI-driven Solution
Implementing simple statistics for order allocation was insufficient, leading to financial drawbacks and other issues. To optimize the work preparation, our AI-powered tool considered numerous factors, which would have been impossible to assess manually. We utilized historical data and employee input to develop an ideal order distribution system for materials based on simulations. The user-friendly interfaces ensured full transparency and understanding of the tool's decision-making process.
What can be solved?
Everything.
However here are a few common pain points that we often see, which can be solved through our programs and will lead to an AI breakthrough.
Get started with AI
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