Optimalon Software Ltd.

Optimalon Software Ltd.

December 03, 2013 09:00 ET

Optimalon Software Released New Rectangular (2D) Stock Cutting Optimization Engine CutGLib for App Developers

KITCHENER, ONTARIO--(Marketwired - Dec. 3, 2013) - New software product CutGLib 1.0 introduces redesigned and heavily improved optimization algorithm for guillotine rectangular cutting. Test runs on hundreds of customer projects and academic test cases showed an average material utilization rate of 93 percent, a significant improvement compared to 85 percent from the previous product GNCutter32.

Cutting panels of wood, metal or glass is a common, everyday activity for many industrial, manufacturing and construction companies. The material waste always accompanies the cutting, and the amount of waste strongly depends on the cutting order. Finding a way to produce less waste and use fewer panels is not a trivial task for a person, but can be done on a computer.

The major part of all specialized cutting software on the market is the optimization algorithm. A better algorithm means less waste gets produced and less money is spent on a material inventory. Optimalon Software has constantly been looking for a way to improve the cutting optimization algorithms used in its products.

Denis Smirnov, marketing director at Optimalon Software, explains: "Instead of genetic algorithms used in many commercial cutting applications, we decided to use a much faster and more mathematically clear approach. Our optimization library CutGLib uses combinations of algorithms for knapsack and subset-sum problems. As a result, we got a high performance optimization solution that is suitable not only for desktop computers, but also for mobile devices and web-based applications."

High performance of CutGLib allowed Optimalon Software to create a unique, free panel-cutting web-application that has been used by 5,000 (and counting) users around the world. All cutting project data (parts, panels and settings) are stored in a database on the web-server, accessible from any device (laptop, smartphone or tablet) connected to the Internet.

Denis Smirnov continues: "Despite its success, the GNCutter32 was not producing the results some of our potential clients were looking for. The most difficult was optimizing projects with big parts, when only a few parts can be cut from a panel.

Since 2011 we've worked on a new algorithm that could overcome this problem. The solution was to use rectangular blocks of aggregated parts instead of dense part stripes. This approach completely meets and sometime even exceeds our expectations. After intensive testing, using actual projects from our clients and test cases from academic papers, we got the average utilization rate of 93 percent, comparing to 85 percent from the optimization library GNCutter32."

CutGLib comes with detailed documentation and several test applications for different programming languages (C#, C++, VB.Net and Delphi). It's available freely to anybody without a registration on Optimalon Software's website.

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