A Multistage Approach to the Selective Assembly of Components Without Dimensional Distribution Assumptions
Artikel i vetenskaplig tidskrift, 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.


Abolfazl Rezaei Aderiani

Chalmers, Industri- och materialvetenskap, Produktutveckling

Kristina Wärmefjord

Chalmers, Industri- och materialvetenskap

Rikard Söderberg

Chalmers, Industri- och materialvetenskap

Journal of Manufacturing Science and Engineering, Transactions of the ASME

1087-1357 (ISSN) 15288935 (eISSN)

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


Produktionsteknik, arbetsvetenskap och ergonomi

Bearbetnings-, yt- och fogningsteknik




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