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An optimal algorithm for the robotic assembly system design problem: An industrial case study.

Authors :
Hagemann, Simon
Stark, Rainer
Source :
CIRP: Journal of Manufacturing Science & Technology; Nov2020, Vol. 31, p500-513, 14p
Publication Year :
2020

Abstract

The design process of flow-oriented assembly systems is characterized by being both highly complex and time consuming. Especially those design processes categorized into robotic and multi variant encountered in the automotive body-in-white production stages. Unlike established manual and template-based assembly system design models, which are currently applied in industry, the here presented novel approach uses a knowledge-based search algorithm and automatically generates optimal assembly system configurations. The algorithm has been implemented in a software prototype and the results have been validated against different large-size industrial scenarios in the automotive field of body-in-white production. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17555817
Volume :
31
Database :
Supplemental Index
Journal :
CIRP: Journal of Manufacturing Science & Technology
Publication Type :
Academic Journal
Accession number :
147679280
Full Text :
https://doi.org/10.1016/j.cirpj.2020.08.002