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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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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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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Preference-based multi-attribute decision-making method with spherical-Z fuzzy sets for green product design

Engineering Applications of Artificial Intelligence, Год журнала: 2023, Номер 126, С. 106767 - 106767

Опубликована: Июль 21, 2023

Язык: Английский

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A new heuristic algorithm based on multi-criteria resilience assessment of human–robot​ collaboration disassembly for supporting spent lithium-ion battery recycling

Engineering Applications of Artificial Intelligence, Год журнала: 2023, Номер 126, С. 106878 - 106878

Опубликована: Сен. 12, 2023

Язык: Английский

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An intelligent decision support system for groundwater supply management and electromechanical infrastructure controls

Heliyon, Год журнала: 2024, Номер 10(3), С. e25036 - e25036

Опубликована: Янв. 21, 2024

This study presents an intelligent Decision Support System (DSS) aimed at bridging the theoretical-practical gap in groundwater management. The ongoing demand for sophisticated systems capable of interpreting extensive data to inform sustainable decision-making underscores critical nature this research. To meet challenge, telemetry from six randomly selected wells were used establish a comprehensive database pumping parameters, including flow rate, pressure, and current intensity. Statistical analysis these parameters led determination threshold values factors such as water pressure electrical current. Additionally, soft sensor was developed using Random Forest (RF) machine learning algorithm, enabling real-time forecasting key variables. achieved by continuously comparing live pump design specifications results regular field testing. proposed model ensures robust empirical monitoring well health. Furthermore, expert operational knowledge management professionals, gathered through Classical Delphi (CD) technique, seamlessly integrated. collective expertise culminated data-driven framework facilities monitoring. In conclusion, innovative DSS not only addresses theory-application but also leverages power analytics provide high-precision online insights, thereby optimizing practices.

Язык: Английский

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A Framework for Assessment of Logistics Enterprises’ Safety Standardization Performance Based on Prospect Theory

Journal of Operations Intelligence, Год журнала: 2024, Номер 2(1), С. 153 - 166

Опубликована: Фев. 14, 2024

To evaluate the performance of logistics safety standard system, we propose an evaluation framework based on theory. First, construct indicator system for enterprises. It is existing and combined with construction goal system. Second, combine triangular fuzzy number prospect theory to determine state according characteristics indicators. Then, use Choquet integral, method, Shapley value methods information, which considers interaction Third, entropy analytic hierarchy process expert weight. The information logistic enterprise’s aggregated obtain assessment results. Finally, proposed validated by example analysis. results show that can be used enterprise systems.

Язык: Английский

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How Is Transportation Sector Low-Carbon (TSLC) Research Developing After the Paris Agreement (PA)? A Decade Review

Sustainability, Год журнала: 2025, Номер 17(5), С. 2261 - 2261

Опубликована: Март 5, 2025

The Paris Agreement (PA), an authoritative political document on emissions reduction and low-carbon initiatives, requires the transportation sector to take decisive action toward achieving objectives. This study uses CiteSpace conduct a bibliometric analysis of 746 (TSLC) research articles published since PA. reveals that China, United States, Kingdom are leading contributors, with Tsinghua University being most prolific institution. Sustainability, Journal Cleaner Production, Transportation Research Part D influential in terms publication volume. reviews recent studies TSLC from perspective renewable energy technology applications, evolution intelligent transport systems, policy support, public participation. Then, in-depth interpretation potential impacts policies circulation commodities, system, socioeconomic development is conducted. Finally, knowledge map presented, illustrating pathways for targets under guidance PA, laying foundation future efforts sustainable transport.

Язык: Английский

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