A station crashing-based recursive approach for disassembly line balancing problem in the presence of task failure
Disassembly recovers the valuable parts/subassemblies or materials from old and outdated
products. The collected old and outdated products have inherent variability in quality, which …
products. The collected old and outdated products have inherent variability in quality, which …
A rule-driven method for disassembly sequence real-time planning of intelligent mixed-flow disassembly line
X Chen, S Zhu, Z Jiang, W Yan, Y Wang… - Computers & Industrial …, 2024 - Elsevier
Intelligent mixed-flow disassembly serves an important role in enhancing the flexible
operation capability of the disassembly line for multi-variety and small-batch used …
operation capability of the disassembly line for multi-variety and small-batch used …
Disassembly sequence planning based on a modified grey wolf optimizer
J **e, X Li, L Gao - The International Journal of Advanced Manufacturing …, 2021 - Springer
Disassembly sequence planning (DSP) can effectively increase the disassembly efficiency,
shorten the disassembly cycle, reduce disassembly costs, and reduce environmental …
shorten the disassembly cycle, reduce disassembly costs, and reduce environmental …
Modified cat swarm optimization for optimal assembly sequence planning problems
Product manufacturing industries are looking for efficient assembly planners to instantly
generate an optimal feasible assembly sequence for multiple product variants. The products …
generate an optimal feasible assembly sequence for multiple product variants. The products …
Satellite imaging task planning using particle swarm optimization and Tabu Search
Q He, Y Tian, D Li, W Liu, M Jian - 2021 IEEE 21st International …, 2021 - ieeexplore.ieee.org
As satellites grow both in number and in the fields involved, it has become an enormous
challenge to allocate limited satellite resources against complicated constraints and …
challenge to allocate limited satellite resources against complicated constraints and …
A Learning-Based Assembly Sequence Planning Method Using Neural Combinatorial Optimization With Satisfactory Generalization Ability
This paper proposes a specific and effective real-time sequence planning method using
robot manipulators to complete complex assembly tasks. Many previous studies developed …
robot manipulators to complete complex assembly tasks. Many previous studies developed …
Multi-layer Feature Refinement Extraction With Contrastive Learning For Cervical OCT Image Classification
Y Liu, Q Wang, L Zhang, K Zhang - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Optical coherence tomography (OCT) is a three-dimensional laminar imaging technique that
has recently been applied to gynecologic cervical lesions and has clinically proven its …
has recently been applied to gynecologic cervical lesions and has clinically proven its …
Medicine Safety Assessment Method Based on Dynamic Dual Optimization
R Luo, L Zhong - Journal of Internet Technology, 2022 - jit.ndhu.edu.tw
As people pay more and more attention to medicine safety issues, related medicine safety
monitoring platforms are also rapidly popularized. However, previous work has poor …
monitoring platforms are also rapidly popularized. However, previous work has poor …