Exploring engineering applications of two-sided partial destructive disassembly line balancing problems under electrical limiting and time-of-use pricing DOI
Lei Guo, Zeqiang Zhang, Yu Zhang

et al.

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: unknown, P. 125573 - 125573

Published: Oct. 1, 2024

Language: Английский

U-shaped disassembly line balancing problem under interval Type-2 trapezoidal fuzzy set: Modeling and solution method DOI
Honghao Zhang,

Zhongwei Huang,

Danqi Wang

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2025, Volume and Issue: 145, P. 110211 - 110211

Published: Feb. 19, 2025

Language: Английский

Citations

3

Metal recovery in mobile phone waste: Characterization of metal composition and economic assessment through shredding and screening processes DOI
Joan Morell,

David Ribas,

Isolda Tristany

et al.

Waste Management, Journal Year: 2025, Volume and Issue: 196, P. 93 - 105

Published: Feb. 21, 2025

Language: Английский

Citations

1

Mixed integer programming and multi-objective enhanced differential evolution algorithm for human–robot responsive collaborative disassembly in remanufacturing system DOI
Zeqiang Zhang, Wei Liang,

Dan Ji

et al.

Advanced Engineering Informatics, Journal Year: 2024, Volume and Issue: 62, P. 102895 - 102895

Published: Oct. 1, 2024

Language: Английский

Citations

3

New trends in line balancing and model sequencing in assembly, disassembly and machining environments DOI
Olga Battaïa, Xavier Delorme, Alexandre Dolgui

et al.

Computers & Industrial Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 111210 - 111210

Published: May 1, 2025

Language: Английский

Citations

0

A Stochastic Sequence-Dependent Disassembly Line Balancing Problem with an Adaptive Large Neighbourhood Search Algorithm DOI Open Access
Zhu Dong, X. Zhang, Xinyue Huang

et al.

Processes, Journal Year: 2025, Volume and Issue: 13(6), P. 1675 - 1675

Published: May 27, 2025

The remanufacturing of end-of-life products is an effective approach to alleviating resource shortages, environmental pollution, and global warming. As the initial step in process, quality efficiency disassembly have a decisive impact on entire workflow. However, complexity product structures poses numerous challenges practical operations. These include not only conventional precedence constraints among tasks but also sequential dependencies, where interference between due their execution order can prolong operation times complicate formulation plans. Additionally, inherent uncertainties process further affect applicability Therefore, developing reliable plans must fully consider both dependencies uncertainties. To this end, paper employs chance-constrained programming model characterise uncertain information constructs multi-objective sequence-dependent line balancing (MO-SDDLB) problem under environments. aims minimise hazard index, workstation time variance, energy consumption, achieving multi-dimensional optimisation process. efficiently solve problem, designs innovative adaptive large neighbourhood search (MO-ALNS) algorithm. algorithm integrates three destruction repair operators, combined with simulated annealing, roulette wheel selection, local strategies, significantly enhancing solution quality. Practical experiments lithium-ion battery validate effectiveness proposed Moreover, MO-ALNS demonstrated superior performance compared other state-of-the-art methods. On average, against best competitor results, improved number Pareto solutions (NPS) by approximately 21%, reduced inverted generational distance (IGD) about increased hypervolume (HV) nearly 8%. Furthermore, exhibited stability, providing feasible for optimisation.

Language: Английский

Citations

0

Exploring engineering applications of two-sided partial destructive disassembly line balancing problems under electrical limiting and time-of-use pricing DOI
Lei Guo, Zeqiang Zhang, Yu Zhang

et al.

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: unknown, P. 125573 - 125573

Published: Oct. 1, 2024

Language: Английский

Citations

1