@inproceedings{e25f345f18944c0d9e2fd5017c559abf,
title = "Hybrid Disassembly Lines Considering Employee Training Targets and An Improved Multi-neighborhood Tabu Search Algorithm",
abstract = "Over the years, the disassembly and recycling of waste products have attracted more and more social attention. Nowadays, in many small companies, the cost of pre-job training is sometimes not paid back because of the high turnover rate of employees. This paper proposes on-the-job-training for disassembly employees. The mathematical model of multi-product mixed disassembly balancing problem that considers employee training target is discussed. To maximize the disassembly profit, a tabu search algorithm based on an improved multi-neighborhood search is used to solve this problem. The results show that the improved multi-neighborhood tabu search can quickly obtain the approximate optimal feasible solution.",
author = "Ermeng Ma and Peisheng Liu and Xiwang Guo and Jiacun Wang and Shujin Qin and Ying Tang",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 International Conference on Cyber-Physical Social Intelligence, ICCSI 2022 ; Conference date: 18-11-2022 Through 21-11-2022",
year = "2022",
doi = "10.1109/ICCSI55536.2022.9970700",
language = "English (US)",
series = "Proceedings of the International Conference on Cyber-Physical Social Intelligence, ICCSI 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "321--326",
editor = "Xuemin Chen and Jun Wang and Jiacun Wang and Ying Tang",
booktitle = "Proceedings of the International Conference on Cyber-Physical Social Intelligence, ICCSI 2022",
address = "United States",
}