A Multistage Approach to the Selective Assembly of Components Without Dimensional Distribution Assumptions
Journal article, 2018

Selective assembly is a means of obtaining higher quality product assemblies by using relatively low-quality components. Components are selected and classified according to their dimensions and then assembled. Past research has often focused on components that have normal dimensional distributions to try to find assemblies with minimal variation and surplus parts. This paper presents a multistage approach to selective assembly for all distributions of components and with no surplus, thus offering less variation compared to similar approaches. The problem is divided into different stages and a genetic algorithm (GA) is used to find the best combination of groups of parts in each stage. This approach is applied to two available cases from the literature. The results show improvement of up to 20% in variation compared to past approaches.

Author

Abolfazl Rezaei Aderiani

Chalmers, Industrial and Materials Science, Product Development

Kristina Wärmefjord

Chalmers, Industrial and Materials Science

Rikard Söderberg

Chalmers, Industrial and Materials Science

Journal of Manufacturing Science and Engineering, Transactions of the ASME

1087-1357 (ISSN)

Vol. 140 7 071015-071023 MANU-18-1034

Subject Categories

Production Engineering, Human Work Science and Ergonomics

Manufacturing, Surface and Joining Technology

Control Engineering

DOI

10.1115/1.4039767

More information

Latest update

8/20/2018