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Packing and cutting problems, which dealt with filling up a space of known dimension with small pieces, have been an attractive research topic to both industry and academia.
We have therefore tried to suggest a suitable method for two-dimensional guillotine cutting problems using the above concepts.
There are several types of cutting problems based on different characteristics, which Dyckhoff divided into four groups based on their salient characteristics (dimension, type assignment, assortment of large objects, and small items) (Dyckhoff 1990; Dyckhoff and Finke 1992).
A sample piece is made to check the design and cutting problems.
The proposed approach is validated by means of application to several cutting problems of engineering interest.
One-dimensional stock cutting problems can be encountered at the production stage of many areas of engineering as well as in shipbuilding and coastal structures.
Similar(48)
We formalize the material ordering and cutting problem faced by this industry and propose an expert system for efficiently combining steel elements into plates to control relevant costs.
We formalize the material ordering and cutting problem faced by this industry and propose a grouping genetic algorithm, called CPGEA, for efficiently controlling the relevant costs.
The approach suggested in this paper for the two-dimensional guillotine cutting problem will make use of these concepts and offer some suggestions.
It is necessary to mention that the precedence mentioned in the third step of the PRW method also exists in the two-dimensional guillotine cutting problem as a different form to be considered.
The clustering process becomes a graph cutting problem such that the edges within the group have high weights and those between different groups have low weights.
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