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Researches on Flexible Job-Shop Scheduling Problem
2009 Fifth International Conference on Natural Computation, 2009Evolutionary algorithms (EAs) prove to be powerful in solving combinatorial optimization problems. A symbiotic evolutionary algorithm is applied to deal with complex job-shop scheduling problem (JSP). An efficient crossover, Merge and Split Recombination crossover (MSX) which always produces feasible offspring and enhances population diversity and ...
Zhaofeng Su, Hongze Qiu
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IEEE Transactions on Evolutionary Computation
Driven by the evolution of smart and sustainable manufacturing paradigms under Industry 5.0, which emphasize adaptability, connectivity, and data-driven decision-making, the dynamic flexible job shop scheduling problem (DFJSSP) has emerged as a critical ...
Xiaolong Chen +5 more
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Driven by the evolution of smart and sustainable manufacturing paradigms under Industry 5.0, which emphasize adaptability, connectivity, and data-driven decision-making, the dynamic flexible job shop scheduling problem (DFJSSP) has emerged as a critical ...
Xiaolong Chen +5 more
semanticscholar +1 more source
IEEE Transactions on Evolutionary Computation
The flexible job shop scheduling, as the most typical production mode in industrial manufacturing, aims to improve production efficiency. However, the proposal of energy-saving and emission-reduction policy implies that it is impossible to increase the ...
Cong Luo +3 more
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The flexible job shop scheduling, as the most typical production mode in industrial manufacturing, aims to improve production efficiency. However, the proposal of energy-saving and emission-reduction policy implies that it is impossible to increase the ...
Cong Luo +3 more
semanticscholar +1 more source
IEEE Transactions on Evolutionary Computation
With increasing energy concerns and development of globalization, energy-aware scheduling and distributed scheduling have become significant topics in modern manufacturing.
Jing-jing Wang, Honggui Han, Ling Wang
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With increasing energy concerns and development of globalization, energy-aware scheduling and distributed scheduling have become significant topics in modern manufacturing.
Jing-jing Wang, Honggui Han, Ling Wang
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End-to-End Multitarget Flexible Job Shop Scheduling With Deep Reinforcement Learning
IEEE Internet of Things JournalModeling and solving the flexible job shop scheduling problem (FJSP) is critical for modern manufacturing. However, existing works primarily focus on the time-related makespan target, often neglecting other practical factors, such as transportation.
Rongkai Wang +4 more
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Evolutionary Trainer-Based Deep Q-Network for Dynamic Flexible Job-Shop Scheduling
IEEE Transactions on Evolutionary ComputationDynamic flexible job-shop scheduling (DFJSS) aims to achieve the optimal efficiency for production planning in the face of dynamic events. In practice, deep $Q$ -network (DQN) algorithms have been intensively studied for solving various DFJSS problems ...
Yun Liu +3 more
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IEEE Transactions on Automation Science and Engineering
Dynamic events, such as machine fault and rush order insertion, are fairly common in the job shop scheduling, which may lead to significant delay in order delivery and low production efficiency.
Yi Feng +6 more
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Dynamic events, such as machine fault and rush order insertion, are fairly common in the job shop scheduling, which may lead to significant delay in order delivery and low production efficiency.
Yi Feng +6 more
semanticscholar +1 more source
IEEE Transactions on Systems, Man, and Cybernetics: Systems
Energy-aware distributed heterogeneous flexible job shop scheduling (DHFJS) problem is an extension of the traditional FJS, which is harder to solve. This work aims to minimize total energy consumption (TEC) and makespan for DHFJS.
Rui Li +4 more
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Energy-aware distributed heterogeneous flexible job shop scheduling (DHFJS) problem is an extension of the traditional FJS, which is harder to solve. This work aims to minimize total energy consumption (TEC) and makespan for DHFJS.
Rui Li +4 more
semanticscholar +1 more source
Computers & industrial engineering, 2022
With increasing environmental awareness and energy requirement, sustainable manufacturing has attracted growing attention. Meanwhile, there is a high level of uncertainty in practical processing procedure, particularly in flexible manufacturing systems ...
Rui Li, Wenyin Gong, Chao Lu
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With increasing environmental awareness and energy requirement, sustainable manufacturing has attracted growing attention. Meanwhile, there is a high level of uncertainty in practical processing procedure, particularly in flexible manufacturing systems ...
Rui Li, Wenyin Gong, Chao Lu
semanticscholar +1 more source
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022
The energy-efficient flexible job shop scheduling problem (FJSP) has attracted much attention in deterministic cases; however, uncertainty is seldom incorporated into energy-efficient FJSP and the neglecting of uncertainty will greatly diminish the ...
Zixiao Pan, Deming Lei, Ling Wang
semanticscholar +1 more source
The energy-efficient flexible job shop scheduling problem (FJSP) has attracted much attention in deterministic cases; however, uncertainty is seldom incorporated into energy-efficient FJSP and the neglecting of uncertainty will greatly diminish the ...
Zixiao Pan, Deming Lei, Ling Wang
semanticscholar +1 more source