One-dimensional blanking software Cut1D software description
This software mainly demonstrates some functions of one-dimensional blanking optimization dynamic library DLL, and does not focus on the perfection of the interface. DLL functions are constantly being optimized. The currently demonstrated functions include:
(1) Solve the basic one-dimensional blanking problem
It is known that the demand for blanks of various lengths and the supply of various wire rods (available inventory) are known, and the cutting plan is determined with the highest material utilization rate as the optimization goal.
(2) Solve the one-dimensional blanking problem with layout drawing switching costs
The blanking plan usually consists of multiple layouts (the arrangement of the blanks on a wire is called a layout). Sometimes there is a cost to switch layouts. At this time, the optimization goal of determining the cutting plan is to reduce the total cost, that is, to minimize the sum of the material cost and the layout switching cost.
(3) Solve the one-dimensional blanking problem that allows residual material to be produced
When generating a cutting plan, on the premise of meeting the current demand for various blanks, if a small amount of residual material is allowed to be generated, it will be beneficial to improve material utilization. The DLL can constrain the quantity of remnant material generated, or it can only generate remnant material of standard length (that is, the user can specify the length of the remnant material generated). In addition, although this software is not demonstrated, the DLL can also be used to simplify the inventory management of remaining materials (such as limiting the number of lengths of remaining materials, standardizing the size of remaining materials, etc. These standard-sized remaining materials can also be blanks needed in the future).
This software has normal optimization and deep optimization functions. Normal optimization produces a primary blanking plan, and deep optimization produces an advanced blanking plan. Since third-party tools are used for in-depth optimization, this software is used to demonstrate the functions of the DLL and only provides details of the primary solution. For advanced solutions, only overall indicators are provided. Users can use this software to guide production for a long time, but the developer is not responsible for any losses caused by the use of this software. When users require advanced solutions, they can contact the developers.
For those professionals who are engaged in the development of application systems involving one-dimensional blanking (such as door and window design and production), using DLL can eliminate the need to develop optimization algorithm modules and focus on other parts of the system. For those who are engaged in the sales and development of one-dimensional blanking software, using DLL can bring the optimization function of the software to an advanced level.
This software DLL is based on the developer’s decades of dedicated research. People in the application field are welcome to propose one-dimensional blanking problems with new features to provide directions for DLL function expansion.
2. Testing on DLL optimization level
In subdirectory DataTest contains two sets of examples commonly used in testing the level of one-dimensional blanking optimization algorithms in the world, with a total of 1828 questions. You only need to copy the file to the Exe directory and rename it to TestIns (text file, the extension remains unchanged). Then use the optimization function test menu of this software to continuously calculate and obtain the overall index of the blanking plan for each question. You can download other one-dimensional blanking software from the Internet, let it solve some problems, and compare it with the optimization effect of this software, so as to have an accurate grasp of the optimization function of this software.
One-dimensional blanking software Cut1D update log:
1. The details are more outstanding!
2. BUG gone without a trace
Huajun editor recommends:
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