Mathematical model and knowledge-based iterated greedy algorithm for distributed assembly hybrid flow shop scheduling problem with dual-resource constraints

Expert Systems with Applications, Journal Year: 2023, Volume and Issue: 239, P. 122434 - 122434

Published: Nov. 4, 2023

Language: Английский

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Modeling and optimization algorithm for energy-efficient distributed assembly hybrid flowshop scheduling problem considering worker resources

Journal of Industrial Information Integration, Journal Year: 2024, Volume and Issue: 40, P. 100620 - 100620

Published: May 3, 2024

Language: Английский

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A disjunctive graph-based metaheuristic for flexible job-shop scheduling problems considering fixture shortages in customized manufacturing systems

Robotics and Computer-Integrated Manufacturing, Journal Year: 2025, Volume and Issue: 95, P. 102981 - 102981

Published: Feb. 20, 2025

Language: Английский

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An Inverse Reinforcement Learning Algorithm with Population Evolution Mechanism for The Multi-objective Flexible Job-shop Scheduling Problem under Time-of-use Electricity Tariffs

Applied Soft Computing, Journal Year: 2025, Volume and Issue: unknown, P. 112764 - 112764

Published: Jan. 1, 2025

Language: Английский

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Multi-objective optimization of energy-efficient remanufacturing system scheduling problem with lot-streaming production mode

Expert Systems with Applications, Journal Year: 2023, Volume and Issue: 237, P. 121309 - 121309

Published: Sept. 5, 2023

Language: Английский

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Multi-objective green scheduling of integrated flexible job shop and automated guided vehicles

Engineering Applications of Artificial Intelligence, Journal Year: 2023, Volume and Issue: 126, P. 106864 - 106864

Published: Aug. 9, 2023

Language: Английский

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A reinforcement learning enhanced memetic algorithm for multi-objective flexible job shop scheduling toward Industry 5.0

International Journal of Production Research, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 29

Published: May 30, 2024

Flexible job shop scheduling problem (FJSP) with worker flexibility has gained significant attention in the upcoming Industry 5.0 era because of its computational complexity and importance production processes. It is normally assumed that each machine typically operated by one at any time; therefore, shop-floor managers need to decide on most efficient assignments for machines workers. However, processing time variable uncertain due fluctuating environment caused unsteady operating conditions learning effect Meanwhile, they also balance workload while meeting efficiency. Thus a dual resource-constrained FJSP worker's fuzzy (F-DRCFJSP-WL) investigated simultaneously minimise makespan, total workloads maximum workload. Subsequently, reinforcement enhanced multi-objective memetic algorithm based decomposition (RL-MOMA/D) proposed solving F-DRCFJSP-WL. For RL-MOMA/D, Q-learning incorporated into perform neighbourhood search further strengthen exploitation capability algorithm. Finally, comprehensive experiments extensive test instances case study aircraft overhaul are conducted demonstrate effectiveness superiority method.

Language: Английский

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Matheuristic and learning-oriented multi-objective artificial bee colony algorithm for energy-aware flexible assembly job shop scheduling problem

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 133, P. 108634 - 108634

Published: May 20, 2024

Language: Английский

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Tackling dual-resource flexible job shop scheduling problem in the production line reconfiguration scenario: An efficient meta-heuristic with critical path-based neighborhood search

Advanced Engineering Informatics, Journal Year: 2025, Volume and Issue: 65, P. 103282 - 103282

Published: April 3, 2025

Language: Английский

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An effective memetic algorithm for distributed flexible job shop scheduling problem considering integrated sequencing flexibility

Expert Systems with Applications, Journal Year: 2023, Volume and Issue: 242, P. 122734 - 122734

Published: Nov. 30, 2023

Language: Английский

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