@inproceedings{db443af794e94e28b91e26b4b0a3b3bb,
title = "Hybrid Neighborhood Search Algorithm for Multi-product Hybrid Disassembly Line Balancing Problem Considering Multi-skill Workers",
abstract = "With the rapid development of the economy and technology, product upgrading is accelerated, resulting in many abandoned item. The disassembly of waste products can in-crease the utilization rate of resources, reduce environmental pollution, and promote the sustainable development of the economy. The combination of a U-shaped disassembly line and a single-row disassembly line offers unique advantages and application scenarios. Such a hybrid disassembly line balancing problem with the requirement of multi-skill workers is ad-dressed in this paper. A mathematical model is established to maximize the recovery profit according to the characteristics of the proposed problem. A hybrid neighborhood search algorithm is designed to solve the problem. Three types of neighborhood structures are designed to search for feasible solutions. The experimental results show that the proposed algorithm can obtain stable and high-quality solutions quickly, and the validity of the neighborhood structure and the correctness of the proposed model are verified.",
author = "Xi, \{Gui Peng\} and Liu, \{Pei Sheng\} and Guo, \{Xi Wang\} and Wang, \{Jia Cun\} and Qin, \{Shu Jin\} and Jian Zhao and Ying Tang",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 19th IEEE International Conference on Networking, Sensing and Control, ICNSC 2022 ; Conference date: 15-12-2022 Through 18-12-2022",
year = "2022",
doi = "10.1109/ICNSC55942.2022.10004093",
language = "English (US)",
series = "ICNSC 2022 - Proceedings of 2022 IEEE International Conference on Networking, Sensing and Control: Autonomous Intelligent Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "ICNSC 2022 - Proceedings of 2022 IEEE International Conference on Networking, Sensing and Control",
address = "United States",
}