1DCutX - Cutting Optimizer for Excel Description:

1DCutX, an Excel add-in for design engineers and project managers that optimizes length cutting operations for manufacturers that cut a lot of linear materials. 1DCutX reads data directly from Excel spreadsheets, and instantly generates both the graphical layouts and a detailed cutting report within your Excel workbook. 1DCutX can reduce the usage of linear material by twenty to forty percent, compared to manual cutting.

In addition to minimizing raw material waste, 1DCutX saves time, minimizes production costs, improves factory productivity and reduces the environmental impact of manufacturing products that are made from standard length bars, pipes, beams, and rolls. It allows you to order the proper amount of raw material, and provide customers with accurate quotations in just a few seconds.

1DCutX customizes its calculations to the machinery that you use to cut raw materials. It's easy to specify your cutting hardware's minimum grip area, to ensure that your device can safely hold the raw materials that it needs to cut. 1DCutX keeps track of saw kerf information for materials that shrink by the thickness of the saw blade each time you make a cut. You can even optimize your cutting in cases where you have limited supplies of some sizes of raw materials.

Unlike calculation software that requires you to perform calculations in more than one program, 1DCutX does all of its work inside a single Excel workbook. This eliminates errors that result from saving and loading data between multiple software programs. 1DCutX supports both fractional measurements (for example, 1.25') and feet/inch numbers (such as 2' 7-1/3").

System Requirements: Microsoft Excel 2003,2007,2010
Operating System Support: Win2000, Win7 x32, Win7 x64, Win98, WinServer, WinVista, WinVista x64, WinXP
Tags: length cutting, length cutting optimization, cutting optimization, excel add-in, optimization, cutting, layout, linear cutting, 1D cutting, 1D optimization, linear stock cutting, stock cutting, stock cut optimization, minimal waste

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