Hybrid Disassembly Line Balancing for Human-robot Collaborative Remanufacturing
Document Type
Conference Proceeding
Publication Date
1-1-2024
Abstract
As technologies advance rapidly, the urgency of remanufacturing is escalating. Efficient disassembly processes are crucial at the outset of remanufacturing. This work proposes an innovative disassembly scheme aimed at amplifying efficiency through the utilization of parallelization and human-robot collaboration in the context of a hybrid disassembly line. A single-objective mixed-integer programming model is developed to optimize disassembly profit. A discrete salp swarm algorithm is proposed to solve it since it is NP-hard. We have proposed and integrated uniform variation and two-point crossover operators in this algorithm. After comparing its results with those of the exact solver and other intelligent optimization methods, we conclude its competitive performance in both solution quality and efficiency.
Identifier
85208268650 (Scopus)
ISBN
[9798350358513]
Publication Title
IEEE International Conference on Automation Science and Engineering
External Full Text Location
https://doi.org/10.1109/CASE59546.2024.10711350
e-ISSN
21618089
ISSN
21618070
First Page
2912
Last Page
2917
Recommended Citation
Guo, Feng; Guo, Xi Wang; Zhou, Meng Chu; Wang, Weitian; Qin, Shu Jin; and Kang, Qi, "Hybrid Disassembly Line Balancing for Human-robot Collaborative Remanufacturing" (2024). Faculty Publications. 817.
https://digitalcommons.njit.edu/fac_pubs/817