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

Decai Liu and Yuxin Zhang ()
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Decai Liu: School of Management, Wuhan University of Science and Technology, Wuhan 430081, China
Yuxin Zhang: School of Management, Wuhan University of Science and Technology, Wuhan 430081, China

Sustainability, 2024, vol. 16, issue 15, 1-22

Abstract: 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.

Keywords: location-routing problem; health resorts; carbon emissions; cold chain logistics; improved genetic algorithm (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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