@inproceedings{8c469dd52d814a3f9a068a59fa62abcb,
title = "Stochastic Greedy Two-neighborhood Search Algorithm For Hybrid Disassembly Line Balancing Problem Considering Human Posture",
abstract = "With the continuous development of manufacturing industry, many waste products are produced as a side effect. Recycling these waste products can significantly improve the utilization of resources and promote the green development of the environment. Establishing a manual disassembly line is one way to recycle scrap, but the mixture of multiple disassembly lines can be more effective. This paper proposes a hybrid disassembly line balance problem that takes human posture into consideration. This problem combines the U -shaped and linear disassembly line features. We establish a mathematical model to obtain maximum profit, and propose to use the stochastic greedy two-neighborhood search algorithm can solve this problem. The algorithm searches different neighborhoods to obtain the near-optimal solution. The experimental results show that the algorithm can get a good solution.",
author = "Peng Ji and Xu Wang and Guo, {Xi Wang} 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/ICCSI55536.2022.9970611",
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 = "350--355",
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",
}