Research on Location and Routing for Cold Chain Logistics in Health Resorts Considering Carbon Emissions

被引：3

作者：

Liu, Decai ^{[1
]}

Zhang, Yuxin ^{[1
]}

机构：

[1] Wuhan Univ Sci & Technol, Sch Management, Wuhan 430081, Peoples R China

来源：

SUSTAINABILITY | 2024年 / 16卷 / 15期

关键词：

location-routing problem; health resorts; carbon emissions; cold chain logistics; improved genetic algorithm;

D O I：

10.3390/su16156362

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

With the rapid advancement of medical technology and the intensification of global aging trends, the health and wellness industry is flourishing, making the location and routing of health resorts increasingly crucial. This study focuses on the location and routing issues of cold chain logistics in health resorts, constructing a location-routing model that minimizes carbon emissions while considering demand uncertainty. The model employs a carbon trading strategy to achieve overall cost minimization, utilizes triangular fuzzy numbers to handle demand uncertainty, and integrates an improved genetic algorithm with the Gurobi solver for efficient optimization. The results reveal the significance of carbon trading and refrigeration costs in cold chain logistics for health resorts, highlighting the importance of reducing carbon emissions and transitioning to green energy. This research provides a comprehensive methodological approach to location-routing decisions in cold chain logistics for health resorts, laying a theoretical and practical foundation for sustainable development in this field.

引用

页数：22

共 50 条

[31] Research on the Development of Cold Chain Logistics in Eastern Mongolia [J].

Liu, Xiaolin .

2018 7TH ICASS INTERNATIONAL CONFERENCE ON SOCIAL SCIENCE AND INFORMATION (SSI 2018), 2018, 124 :139-143

[32] Study on Cold Chain Logistics Location under the Outside Temperature Changing [J].

Cheng Wei ;

Yu Quanyue .

LOGISTICS RESEARCH AND PRACTICE IN CHINA, 2008, :659-663

[33] Research on Cold Chain Logistics Joint Distribution Model Based on Cloud Logistics [J].

Xie, Tianbao ;

Zhao, Meng .

PROCEEDINGS OF 2016 IEEE ADVANCED INFORMATION MANAGEMENT, COMMUNICATES, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IMCEC 2016), 2016, :802-806

[34] Research on VRP Model Optimization of Cold Chain Logistics Under Low-Carbon Constraints [J].

Ma, Ruixue ;

Zhu, Qiang .

INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY AND WEB ENGINEERING, 2024, 19 (01) :1-14

[35] LOCATION AND PATH OPTIMIZATION OF GREEN COLD CHAIN LOGISTICS BASED ON IMPROVED GENETIC ALGORITHM FROM THE PERSPECTIVE OF LOW CARBON AND ENVIRONMENTAL PROTECTION [J].

Chen, Yongzhi .

FRESENIUS ENVIRONMENTAL BULLETIN, 2021, 30 (06) :5961-5973

[36] Low-Carbon Cold-Chain Logistics Path Optimization Problem Considering the Influence of Road Impedance [J].

Zhang, Aobei ;

Zhang, Ying ;

Liu, Yanqiu .

IEEE ACCESS, 2023, 11 :124055-124067

[37] Optimisation Methods for Cold Chain Logistics Path Considering Carbon Emission Costs in Time-Varying Networks [J].

Wang, Zeyu ;

Chen, Fujian ;

Mo, Chengcheng .

PROMET-TRAFFIC & TRANSPORTATION, 2024, 36 (06) :1103-1119

[38] Application on Cold Chain Logistics Routing Optimization Based on Improved Genetic Algorithm [J].

Yang Liyi Zhang ;

Yunshan Gao ;

Teng Sun ;

Yujing Fei .

Automatic Control and Computer Sciences, 2019, 53 :169-180

[39] Vehicle Routing Problem with Simultaneous Delivery and Pickup for Cold-chain Logistics [J].

Ji, Yingfeng ;

Yang, Hualong ;

Zhou, Yong .

PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON MODELING, SIMULATION AND APPLIED MATHEMATICS, 2015, 122 :70-74

[40] Application on Cold Chain Logistics Routing Optimization Based on Improved Genetic Algorithm [J].

Zhang, Liyi ;

Gao, Yang ;

Sun, Yunshan ;

Fei, Teng ;

Wang, Yujing .

AUTOMATIC CONTROL AND COMPUTER SCIENCES, 2019, 53 (02) :169-180

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