A multi-population cooperative coevolution artificial bee colony algorithm for partial multi-robotic disassembly line balancing problem considering preventive maintenance scenarios DOI
Jun Guo, Yang Li, Baigang Du

и другие.

Advanced Engineering Informatics, Год журнала: 2024, Номер 62, С. 102750 - 102750

Опубликована: Авг. 8, 2024

Язык: Английский

A cooperative memetic algorithm for energy-aware distributed welding shop scheduling problem DOI
Jingjing Wang, Ling Wang,

Xia Xiu

и другие.

Engineering Applications of Artificial Intelligence, Год журнала: 2023, Номер 120, С. 105877 - 105877

Опубликована: Янв. 25, 2023

Язык: Английский

Процитировано

17
Green and efficient-oriented human-robot hybrid partial destructive disassembly line balancing problem from non-disassemblability of components and noise pollution DOI
Lei Guo, Zeqiang Zhang, Tengfei Wu

и другие.

Robotics and Computer-Integrated Manufacturing, Год журнала: 2024, Номер 90, С. 102816 - 102816

Опубликована: Июль 8, 2024

Язык: Английский

Процитировано

7
Multi-objective disassembly line design and optimisation considering energy efficiency and human factors DOI
Guangdong Tian, Jinhua Liu, Xuesong Zhang

и другие.

Journal of Engineering Design, Год журнала: 2024, Номер unknown, С. 1 - 29

Опубликована: Фев. 7, 2024

Green manufacturing and remanufacturing revolve around recycling end-of-life (EOL) products. One crucial aspect of this process is the disassembly line balancing problem (DLBP), which involves assigning tasks to workstations in a logical order. However, current DLBP models often overlook operator-related factors energy efficiency. This paper introduces multi-objective model that considers both operator factors. The aims minimise idle rate, improve smoothness, reduce consumption, balance workload under multiple constraints. Since NP-hard, we also develop hybrid intelligent algorithm combines simulated annealing water cycle (SWCA) solve effectively using real-world case disassembly. For optimisation problems, choosing non-inferior solutions can be challenging. In work, embrace an 'optimisation before decision-making' approach, integrating multi-criteria decision-making techniques with neural networks optimised by particle swarm (PSO) identify most satisfactory solution.

Язык: Английский

Процитировано

6
Multi-objective disassembly line balancing and related supply chain management problems under uncertainty: Review and future trends DOI

Junkai He,

Feng Chu, Alexandre Dolgui

и другие.

International Journal of Production Economics, Год журнала: 2024, Номер 272, С. 109257 - 109257

Опубликована: Апрель 26, 2024

Язык: Английский

Процитировано

6
A multi-population cooperative coevolution artificial bee colony algorithm for partial multi-robotic disassembly line balancing problem considering preventive maintenance scenarios DOI
Jun Guo, Yang Li, Baigang Du

и другие.

Advanced Engineering Informatics, Год журнала: 2024, Номер 62, С. 102750 - 102750

Опубликована: Авг. 8, 2024

Язык: Английский

Процитировано

6