TY - GEN
T1 - Distributed Factory Disassembly Scheduling Problem
AU - Zhou, Liangbo
AU - Guo, Xi Wang
AU - Wang, Jiacun
AU - Qin, Shujin
AU - Tang, Ying
AU - Qi, Liang
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Due to the swift progress in transportation and communication technologies and the globalization strategy layout of enterprises, the various factories of enterprises are being distributed all over the world and are collaborating through Internet networks to share operation information, forming an off-site distributed multi-factory working environment. A distributed factory disassembly scheduling problem is proposed in this paper, which is a comprehensive scheduling problem considering disassembly and allocation. The problem primarily consists of two stages: the disassembly stage and the allocation stage. In the distributed factory disassembly scheduling problem, several factors need to be considered, such as the work efficiency, work time, and equipment utilization of each factory. Therefore, the difficulty of this problem is to optimize a series of problems such as task and workstation allocation within the disassembly factory and to optimize the selection of disassembly and manufacturing factories. In general, the distributed factory has the advantages of higher flexibility, lower risk, a more optimized supply chain, and higher efficiency compared to the traditional single factory. By effectively solving this problem, companies can reduce disassembly costs, improve disassembly efficiency, and optimize resource utilization, which is of great importance to them.
AB - Due to the swift progress in transportation and communication technologies and the globalization strategy layout of enterprises, the various factories of enterprises are being distributed all over the world and are collaborating through Internet networks to share operation information, forming an off-site distributed multi-factory working environment. A distributed factory disassembly scheduling problem is proposed in this paper, which is a comprehensive scheduling problem considering disassembly and allocation. The problem primarily consists of two stages: the disassembly stage and the allocation stage. In the distributed factory disassembly scheduling problem, several factors need to be considered, such as the work efficiency, work time, and equipment utilization of each factory. Therefore, the difficulty of this problem is to optimize a series of problems such as task and workstation allocation within the disassembly factory and to optimize the selection of disassembly and manufacturing factories. In general, the distributed factory has the advantages of higher flexibility, lower risk, a more optimized supply chain, and higher efficiency compared to the traditional single factory. By effectively solving this problem, companies can reduce disassembly costs, improve disassembly efficiency, and optimize resource utilization, which is of great importance to them.
UR - https://www.scopus.com/pages/publications/85178998931
UR - https://www.scopus.com/pages/publications/85178998931#tab=citedBy
U2 - 10.1109/ICCSI58851.2023.10303819
DO - 10.1109/ICCSI58851.2023.10303819
M3 - Conference contribution
AN - SCOPUS:85178998931
T3 - ICCSI 2023 - 2023 International Conference on Cyber-Physical Social Intelligence
SP - 429
EP - 434
BT - ICCSI 2023 - 2023 International Conference on Cyber-Physical Social Intelligence
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 International Conference on Cyber-Physical Social Intelligence, ICCSI 2023
Y2 - 20 October 2023 through 23 October 2023
ER -