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

Hagemann, Simon; Stark, Rainer

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.
Published in: CIRP Journal of Manufacturing Science and Technology, 10.1016/j.cirpj.2020.08.002, Elsevier