A Learning-Driven Multi-Objective cooperative artificial bee colony algorithm for distributed flexible job shop scheduling problems with preventive maintenance and transportation operations

Computers & Industrial Engineering, Journal Year: 2024, Volume and Issue: 196, P. 110484 - 110484

Published: Aug. 18, 2024

Language: Английский

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

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

Published: Feb. 19, 2025

Language: Английский

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Energy-efficient human-robot collaborative U-shaped disassembly line balancing problem considering turn on-off strategy: Uncertain modeling and solution method

Journal of Manufacturing Systems, Journal Year: 2025, Volume and Issue: 80, P. 38 - 69

Published: Feb. 27, 2025

Language: Английский

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Review on ensemble meta-heuristics and reinforcement learning for manufacturing scheduling problems

Computers & Electrical Engineering, Journal Year: 2024, Volume and Issue: 120, P. 109780 - 109780

Published: Oct. 18, 2024

Language: Английский

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A chance-constraint programming approach for a disassembly line balancing problem under uncertainty

Journal of Manufacturing Systems, Journal Year: 2024, Volume and Issue: 74, P. 346 - 366

Published: April 10, 2024

Language: Английский

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Green and efficient-oriented human-robot hybrid partial destructive disassembly line balancing problem from non-disassemblability of components and noise pollution

Robotics and Computer-Integrated Manufacturing, Journal Year: 2024, Volume and Issue: 90, P. 102816 - 102816

Published: July 8, 2024

Language: Английский

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Integrated Scheduling of Multi-Constraint Open Shop and Vehicle Routing: Mathematical Model and Learning-Driven Brain Storm Optimization Algorithm

Applied Soft Computing, Journal Year: 2024, Volume and Issue: 163, P. 111943 - 111943

Published: July 6, 2024

Language: Английский

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A Q-Learning Based Hybrid Meta-Heuristic for Integrated Scheduling of Disassembly and Reprocessing Processes Considering Product Structures and Stochasticity

Complex System Modeling and Simulation, Journal Year: 2024, Volume and Issue: 4(2), P. 184 - 209

Published: June 1, 2024

Remanufacturing is regarded as a sustainable manufacturing paradigm of energy conservation and environment protection. To improve the efficiency remanufacturing process, this work investigates an integrated scheduling problem for disassembly reprocessing in where product structures uncertainty are taken into account. First, stochastic programming model developed to minimize maximum completion time (makespan). Second, Q-learning based hybrid meta-heuristic (Q-HMH) specially devised. In each iteration, method employed adaptively choose premium algorithm from four candidate ones, including genetic (GA), artificial bee colony (ABC), shuffled frog-leaping (SFLA), simulated annealing (SA) methods. At last, simulation experiments carried out by using sixteen instances with different scales, three state-of-the-art algorithms literature exact solver CPLEX chosen comparisons. By analyzing results average relative percentage deviation (RPD) metric, we find that Q-HMH outperforms its rivals 9.79%-26.76%. The comparisons verify excellent competitiveness solving concerned problems.

Language: Английский

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A multi-population cooperative coevolution artificial bee colony algorithm for partial multi-robotic disassembly line balancing problem considering preventive maintenance scenarios

Advanced Engineering Informatics, Journal Year: 2024, Volume and Issue: 62, P. 102750 - 102750

Published: Aug. 8, 2024

Language: Английский

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Aggregated planning to solve multi-product multi-period disassembly line balancing problem by considering multi-manned stations: A generic optimization model and solution algorithms

Computers & Industrial Engineering, Journal Year: 2024, Volume and Issue: 196, P. 110464 - 110464

Published: Aug. 14, 2024

Language: Английский

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