Modeling and scheduling for remanufacturing systems with disassembly, reprocessing, and reassembly considering total energy consumption DOI
Wenjie Wang, Guangdong Tian,

Honghao Zhang

et al.

Environmental Science and Pollution Research, Journal Year: 2021, Volume and Issue: unknown

Published: Nov. 12, 2021

Language: Английский

Real-time data-driven dynamic scheduling for flexible job shop with insufficient transportation resources using hybrid deep Q network DOI

Yuxin Li,

Wenbin Gu, Minghai Yuan

et al.

Robotics and Computer-Integrated Manufacturing, Journal Year: 2021, Volume and Issue: 74, P. 102283 - 102283

Published: Oct. 28, 2021

Language: Английский

Citations

146
Integration of deep reinforcement learning and multi-agent system for dynamic scheduling of re-entrant hybrid flow shop considering worker fatigue and skill levels DOI
Youshan Liu, Jiaxin Fan, Linlin Zhao

et al.

Robotics and Computer-Integrated Manufacturing, Journal Year: 2023, Volume and Issue: 84, P. 102605 - 102605

Published: June 16, 2023

Language: Английский

Citations

44
A Pareto-based collaborative multi-objective optimization algorithm for energy-efficient scheduling of distributed permutation flow-shop with limited buffers DOI
Chao Lu, Yuanxiang Huang, Leilei Meng

et al.

Robotics and Computer-Integrated Manufacturing, Journal Year: 2021, Volume and Issue: 74, P. 102277 - 102277

Published: Oct. 28, 2021

Language: Английский

Citations

97
Agent-based simulation and optimization of hybrid flow shop considering multi-skilled workers and fatigue factors DOI
Youshan Liu, Weiming Shen, Chunjiang Zhang

et al.

Robotics and Computer-Integrated Manufacturing, Journal Year: 2022, Volume and Issue: 80, P. 102478 - 102478

Published: Oct. 21, 2022

Language: Английский

Citations

45
A K-means-Teaching Learning based optimization algorithm for parallel machine scheduling problem DOI
Yibing Li, Jie Liu, Lei Wang

et al.

Applied Soft Computing, Journal Year: 2024, Volume and Issue: 161, P. 111746 - 111746

Published: May 17, 2024

Language: Английский

Citations

10
Flow Shop Scheduling for Prefabricated Components Production Considering Parallel Machines and Buffer Constraints DOI
Miao Yu,

W. Ruan,

Ying Zhou

et al.

Journal of Construction Engineering and Management, Journal Year: 2025, Volume and Issue: 151(4)

Published: Jan. 22, 2025

Language: Английский

Citations

1
A hybrid genetic algorithm with multiple decoding methods for energy-aware remanufacturing system scheduling problem DOI
Wenjie Wang, Guangdong Tian,

Honghao Zhang

et al.

Robotics and Computer-Integrated Manufacturing, Journal Year: 2022, Volume and Issue: 81, P. 102509 - 102509

Published: Dec. 10, 2022

Language: Английский

Citations

37
A discrete artificial bee colony algorithm and its application in flexible flow shop scheduling with assembly and machine deterioration effect DOI
Ming Li, Ching‐Ter Chang, Zhi Liu

et al.

Applied Soft Computing, Journal Year: 2024, Volume and Issue: 159, P. 111593 - 111593

Published: April 16, 2024

Language: Английский

Citations

8
Autonomous sortie scheduling for carrier aircraft fleet under towing mode DOI Creative Commons
Zhilong Deng,

Xuanbo Liu,

Yuqi Dou

et al.

Defence Technology, Journal Year: 2024, Volume and Issue: unknown

Published: July 1, 2024

Safe and efficient sortie scheduling on the confined flight deck is crucial for maintaining high combat effectiveness of aircraft carrier. The primary difficulty exactly lies in spatiotemporal coordination, i.e., allocation limited supporting resources collision-avoidance between heterogeneous dispatch entities. In this paper, problem investigated perspective hybrid flow-shop by synthesizing precedence, space resource constraints. Specifically, eight processing procedures are abstracted, where tractors, preparing spots, catapults, launching virtualized as machines. By analyzing constraints scheduling, a mixed-integer planning model constructed. particular, constraint spot occupancy improved to further enhance efficiency. basic trajectory library each entity generated delayed strategy integrated address issue. To efficiently solve formulated HFSP, which essentially combinatorial with tightly coupled constraints, chaos-initialized genetic algorithm developed. solution framework validated simulation environment referring Fort-class carrier, exhibiting higher efficiency when compared existing strategies. And animation results available at www.bilibili.com/video/BV14t421A7Tt/. study presents promising technique autonomous operation foreseeable future, can be easily extended other scenarios, e.g., ammunition delivery maintenance.

Language: Английский

Citations

7
Production scheduling for blocking flowshop in distributed environment using effective heuristics and iterated greedy algorithm DOI Creative Commons

Shuai Chen,

Quan-Ke Pan, Liang Gao

et al.

Robotics and Computer-Integrated Manufacturing, Journal Year: 2021, Volume and Issue: 71, P. 102155 - 102155

Published: March 21, 2021

Language: Английский

Citations

41