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research-article

A New Approach to the Selective Assembly of Components without Dimensional Distribution Assumptions

[+] Author and Article Information
Abolfazl Rezaei Aderiani

Department of Industrial and Materials Science Chalmers University of Technology SE-412 96 Gothenburg, Sweden
aderiani@chalmers.se

Kristina Wärmefjord

Department of Industrial and Materials Science Chalmers University of Technology SE-412 96 Gothenburg, Sweden
kristina.warmefjord@chalmers.se

Rikard Söderberg

Department of Industrial and Materials Science Chalmers University of Technology SE-412 96 Gothenburg, Sweden
rikard.soderberg@chalmers.se

1Corresponding author.

ASME doi:10.1115/1.4039767 History: Received January 16, 2018; Revised March 20, 2018

Abstract

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 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 percent in variation compared to past approaches.

Copyright (c) 2018 by ASME
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