An optimal algorithm for the robotic assembly system design problem: An industrial case study. (November 2020)

• Record Type: Journal Article
• Authors: Hagemann, Simon; Stark, Rainer
• Is Part Of: CIRP journal of manufacturing science and technology. Volume 31(2020)
• Page Start: 500
• Page End: 513
• Publication Date: 2020-11
• Subjects: Robotic assembly system design -- Branch and bound -- Automotive -- Body-in-white -- Assembly line balancing -- Orasda; Manufacturing processes -- Periodicals; 670.5
• DOI: 10.1016/j.cirpj.2020.08.002
• Languages: English
• ISSNs: 1755-5817

Abstract

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.