Discrete Shuffled Frog Leading Algorithm for Multiple-product Human-robot Collaborative Disassembly Line Balancing Problem
Document Type
Conference Proceeding
Publication Date
1-1-2022
Abstract
With the rapid development of recycling and remanufacturing technologies, disassembly line balancing problems (DLBP) have drawn great attention. Considering the limitation of disassembly by humans or robots alone, this paper focuses on human-robot collaborative disassembly lines. Specifically, this work proposes a multi-product human-robot collaborative disassembly line balancing model to tackle the inflexibility of single product disassembly and inconsistency in recovery values of different product components. Its objective is to maximize disassembly profit. As a commercially available solver, IBM's CPLEX is used to obtain the exact solution of DLBP and verify the correctness of the proposed mathematical model. A discrete shuffled frog leading algorithm is newly designed to solve the sizable problems. Experimental results show that the proposed algorithm has a fast convergence rate and can find solutions consistent with those with CPLEX but requires much less time than the latter, thus advancing the field of disassembly automation.
Identifier
85142756062 (Scopus)
ISBN
[9781665452588]
Publication Title
Conference Proceedings IEEE International Conference on Systems Man and Cybernetics
External Full Text Location
https://doi.org/10.1109/SMC53654.2022.9945365
ISSN
1062922X
First Page
2490
Last Page
2495
Volume
2022-October
Grant
61573089
Fund Ref
National Natural Science Foundation of China
Recommended Citation
Fan, Chen Yang; Wang, Jia Cun; Guo, Xi Wang; Qin, Shu Jin; Zhou, Meng Chu; and Qi, Liang, "Discrete Shuffled Frog Leading Algorithm for Multiple-product Human-robot Collaborative Disassembly Line Balancing Problem" (2022). Faculty Publications. 3544.
https://digitalcommons.njit.edu/fac_pubs/3544