Journal
OPTIMIZATION AND ENGINEERING
Volume 24, Issue 2, Pages 989-1016Publisher
SPRINGER
DOI: 10.1007/s11081-022-09718-3
Keywords
Mixed-model; Robotic; Two-sided assembly line balancing; Sequence-dependent setup times; Variable neighborhood search
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This study proposes a new mathematical model and algorithm for balancing mixed-model robotic two-sided assembly lines, aiming to minimize the cycle time by considering sequence-dependent setup times. Experimental results show that the proposed method achieves promising results.
Human labor is generally being replaced with robots for high automation, increased flexibility, and reduced costs in modern industry. Few studies consider the sequence-dependent setup times in the assembly line balancing literature. However, it should not be overlooked in a real-life setting. This article presents a new mathematical model and variable neighborhood search (VNS) algorithm for mixed-model robotic two-sided assembly line balancing, with the aim of minimizing the cycle time by considering the sequence-dependent setup times. The effectiveness of the proposed VNS is tested with a set of test problems from the literature. The computational results and statistical analysis indicate that the proposed method yields promising results.
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