2003Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering ManufactureRequires access

Nesting strategy for standard parts under variable demand

Esko Niemi

Open publisher page 3 citations

Abstract

Optimization of the cutting of sheet metal parts involves the arrangement of parts to be cut on sheets for a minimal trim loss. In addition, the number of parts of different types in any nesting layout must be selected so that an appropriate combination of such nesting layouts results in the required quantity of any part type and in a minimal amount of extra parts cut. The creation of high-quality nesting layouts of arbitrarily shaped parts is difficult, and therefore the number of nesting layouts created should be kept low and the nesting layouts should perform adequately under uncertain demand conditions. In this paper, a nesting strategy and methods for its practical implementation are presented for selecting the candidate parts to be included in each nesting layout and for choosing a combination of layouts to be cut. As another aspect, such a grouping of the parts in subsets of layouts is studied, in which the parts of each type are present in one subset only. By means of such a nesting strategy, the problem can be divided into smaller subproblems, which are solved more easily. Examples of results of numerical experiments made are given.

About this research paper

What this paper is about

Optimization of the cutting of sheet metal parts involves the arrangement of parts to be cut on sheets for a minimal trim loss. In addition, the number of parts of different types in any nesting layout must be selected so that an appropriate combination of such nesting layouts results in the required quantity of any part type and in a minimal amount of extra parts cut. The creation of high-quality nesting layouts of arbitrarily shaped parts is difficult, and therefore the number of nesting layouts created should be kept low and the nesting layouts should perform adequately under uncertain demand conditions. In this paper, a nesting strategy and methods for its practical implementation are presented for selecting the candidate parts to be included in each nesting layout and for choosing a combination of layouts to be cut. As another aspect, such a grouping of the parts in subsets of layouts is studied, in which the parts of each type are present in one subset only. By means of such a nesting strategy, the problem can be divided into smaller subproblems, which are solved more easily. Examples of results of numerical experiments made are given.

Why it matters

OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Optimization of the cutting of sheet metal parts involves the arrangement of parts to be cut on sheets for a minimal trim loss. In addition, the number of parts of different types in any nesting layout must be selected so that an appropriate combination of such nesting layouts results in the required quantity of any part type and in a minimal amount of extra parts cut. The creation of high-quality nesting layouts of arbitrarily shaped parts is difficult, and therefore the number of nesting layouts created should be kept low and the nesting layouts should perform adequately under uncertain demand conditions. In this paper, a nesting strategy and methods for its practical implementation are presented for selecting the candidate parts to be included in each nesting layout and for choosing a combination of layouts to be cut. As another aspect, such a grouping of the parts in subsets of layouts is studied, in which the parts of each type are present in one subset only. By means of such a nesting strategy, the problem can be divided into smaller subproblems, which are solved more easily. Examples of results of numerical experiments made are given.

Key concepts: Nesting (process), Trim, Computer science, Type (biology), Variable (mathematics), Mathematical optimization, Engineering drawing, Mathematics

Related papers

Back to paper searchBrowse research topicsOriginal source
Nesting strategy for standard parts under variable demand — Research Paper | ScholarLens