Achieving Supply Chain Sustainable Development Within the Framework of Carbon Neutrality Scenario—A Bibliometric Analysis DOI Open Access
Rui Huang,

Xizi Luo

Business Strategy and the Environment, Год журнала: 2024, Номер unknown

Опубликована: Дек. 19, 2024

ABSTRACT Greenhouse gas emissions in supply chains present significant challenges for achieving carbon neutrality because of their complexity and uncertainty. This study employs the Web Science database a quantitative analysis evolution, status, cooperation patterns, future research on chains, using knowledge graphs, visualization, network analysis. The aims to contribute environmental social benefits. key findings are as follows: (1) Since 2020, there has been sharp rise publications, attention is expected continue increasing. (2) China leads publication volume central contributor, though “North–South gap” collaboration persists between developed developing countries. (3) Keyword co‐occurrence indicates that challenges, technologies, methods this area relatively advanced. (4) Burst identifies “green logistics” “electric vehicles” critical areas. offers policy guidance support decision‐making sustainable economic development chains.

Язык: Английский

Overview of the application of intelligent optimization algorithms in multi-attribute group decision making DOI

Kaiying Kang,

Jialiang Xie,

Xiaohui Liu

и другие.

Applied Intelligence, Год журнала: 2025, Номер 55(6)

Опубликована: Фев. 6, 2025

Язык: Английский

Процитировано

0

Production-logistics collaborative scheduling in dynamic flexible job shops using nested-hierarchical deep reinforcement learning DOI
Jiaxuan Shi, Fei Qiao, Juan Liu

и другие.

Advanced Engineering Informatics, Год журнала: 2025, Номер 65, С. 103195 - 103195

Опубликована: Март 4, 2025

Язык: Английский

Процитировано

0

A cooperative Q-learning-based memetic algorithm for distributed assembly heterogeneous flexible flowshop scheduling DOI
Jiawen Deng, Jihui Zhang, Shengxiang Yang

и другие.

Expert Systems with Applications, Год журнала: 2025, Номер unknown, С. 128198 - 128198

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

0

Preference Learning based Multiobjective Particle Swarm Optimization for Lot Streaming in Hybrid Flowshop Scheduling with Flexible Assembly and Time Windows DOI

Hao Haiqiang,

Haiping Zhu, Yabo Luo

и другие.

Expert Systems with Applications, Год журнала: 2025, Номер unknown, С. 128345 - 128345

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

0

A matheuristic-based self-learning approach for distributed heterogeneous assembly flowshop scheduling with multiple assembly factories and make-to-order delivery DOI
Zikai Zhang,

Shujun Yu,

Qiuhua Tang

и другие.

Swarm and Evolutionary Computation, Год журнала: 2025, Номер 97, С. 101996 - 101996

Опубликована: Июнь 5, 2025

Язык: Английский

Процитировано

0

Achieving Supply Chain Sustainable Development Within the Framework of Carbon Neutrality Scenario—A Bibliometric Analysis DOI Open Access
Rui Huang,

Xizi Luo

Business Strategy and the Environment, Год журнала: 2024, Номер unknown

Опубликована: Дек. 19, 2024

ABSTRACT Greenhouse gas emissions in supply chains present significant challenges for achieving carbon neutrality because of their complexity and uncertainty. This study employs the Web Science database a quantitative analysis evolution, status, cooperation patterns, future research on chains, using knowledge graphs, visualization, network analysis. The aims to contribute environmental social benefits. key findings are as follows: (1) Since 2020, there has been sharp rise publications, attention is expected continue increasing. (2) China leads publication volume central contributor, though “North–South gap” collaboration persists between developed developing countries. (3) Keyword co‐occurrence indicates that challenges, technologies, methods this area relatively advanced. (4) Burst identifies “green logistics” “electric vehicles” critical areas. offers policy guidance support decision‐making sustainable economic development chains.

Язык: Английский

Процитировано

2