A survey of multi-criteria decision-making techniques for green logistics and low-carbon transportation systems

Environmental Science and Pollution Research, Год журнала: 2023, Номер 30(20), С. 57279 - 57301

Опубликована: Апрель 5, 2023

Язык: Английский

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Efficient multi-objective metaheuristic algorithm for sustainable harvest planning problem

Computers & Operations Research, Год журнала: 2023, Номер 158, С. 106304 - 106304

Опубликована: Июнь 15, 2023

Язык: Английский

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A novel Q-learning based variable neighborhood iterative search algorithm for solving disassembly line scheduling problems

Swarm and Evolutionary Computation, Год журнала: 2023, Номер 80, С. 101338 - 101338

Опубликована: Май 24, 2023

Язык: Английский

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Multi-product disassembly line balancing optimization method for high disassembly profit and low energy consumption with noise pollution constraints

Engineering Applications of Artificial Intelligence, Год журнала: 2024, Номер 130, С. 107721 - 107721

Опубликована: Янв. 5, 2024

Язык: Английский

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Dynamic Balancing of U-Shaped Robotic Disassembly Lines Using an Effective Deep Reinforcement Learning Approach

IEEE Transactions on Industrial Informatics, Год журнала: 2024, Номер 20(4), С. 6855 - 6865

Опубликована: Янв. 25, 2024

Disassembly line balancing (DLB) is used for efficient task planning of large-scale end-of-life products, which a key issue to realize resource recycling and reuse. Robot disassembly U-shaped station layout can effectively improve efficiency. To accurately characterize the problem, mixed-integer linear programming model robotic DLB proposed. The aim minimize cycle time shorten offline product. Since there are many dynamic disturbances in actual line, traditional optimization methods suitable dealing with static problems, this article develops deep reinforcement learning approach based on problem characteristics, namely Q network (DQN), achieve lines. Eight state features ten heuristic action rules designed proposed DQN describe environment completely. effectiveness superiority verified by numerical experiments. In case laptop not only robots reduced, but also intelligent decision-making tasks realized.

Язык: 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, Год журнала: 2025, Номер 80, С. 38 - 69

Опубликована: Фев. 27, 2025

Язык: Английский

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A knowledge-guided bi-population evolutionary algorithm for energy-efficient scheduling of distributed flexible job shop problem

Engineering Applications of Artificial Intelligence, Год журнала: 2023, Номер 128, С. 107458 - 107458

Опубликована: Ноя. 15, 2023

Язык: Английский

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A hybrid approach for low-carbon transportation system analysis: integrating CRITIC-DEMATEL and deep learning features

International Journal of Environmental Science and Technology, Год журнала: 2023, Номер 21(1), С. 791 - 804

Опубликована: Июнь 9, 2023

Язык: Английский

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Berth allocation and scheduling at marine container terminals: A state-of-the-art review of solution approaches and relevant scheduling attributes

Journal of Computational Design and Engineering, Год журнала: 2023, Номер 10(4), С. 1707 - 1735

Опубликована: Июль 4, 2023

Abstract Marine container terminals play a significant role for international trade networks and global market. To cope with the rapid steady growth of seaborne market, marine terminal operators must address operational challenges appropriate analytical methods to meet needs The berth allocation scheduling problem is one important decisions faced by during operations planning. optimization schedule strongly associated spatial temporal resources. An optimal robust remarkably improves productivity competitiveness seaport. A number studies have been conducted over last years. Thus, there an existing need comprehensive critical literature survey analyze state-of-the-art research progress, developing tendencies, current shortcomings, potential future directions. Therefore, this study thoroughly selected scientific manuscripts dedicated problem. identified were categorized based on attributes, including discrete, continuous, hybrid problems. detailed review was performed categories. representative mathematical formulation each category presented along summary various considerations characteristics every study. specific emphasis given solution adopted. shortcomings outlined state-of-the-art. This expectation assisting community relevant stakeholders scheduling.

Язык: Английский

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Wildlife resource conservation and utilization for achieving sustainable development in China: main barriers and problem identification

Environmental Science and Pollution Research, Год журнала: 2023, Номер unknown

Опубликована: Апрель 22, 2023

Язык: Английский

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