Open AccessStudy on Location Selection of Low-Carbon Fresh Fruit Distribution Center Considering Customer Satisfaction-Route Optimization
Author(s) -
Zongxin Li,
Yingjun Fu,
Meiyan Li
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/687/1/012179
Subject(s) - customer satisfaction , cold chain , distribution center , genetic algorithm , selection (genetic algorithm) , mathematical optimization , total cost , product (mathematics) , vehicle routing problem , carbon fibers , computer science , consumption (sociology) , distribution (mathematics) , environmental economics , business , operations research , routing (electronic design automation) , marketing , engineering , mathematics , economics , algorithm , mechanical engineering , computer network , social science , mathematical analysis , geometry , accounting , artificial intelligence , sociology , composite number
With the development of society and the needs of consumers, the concept of low-carbon and the improvement of customer satisfaction have become the focus of enterprises. Cold chain logistics is a product with high energy consumption and perishable characteristics, this paper will consider improving customer satisfaction on the basis of low carbon, and establish a cold chain distribution center location-routing optimization model with the minimum total cost as the optimization objective. The mathematical model is constructed and solved by using bi level programming theory and genetic algorithm, and neighborhood search is added to the lower model to optimize the route structure. Finally, the simulation results show that the final cost of considering carbon emissions and customer satisfaction is less than the cost of only considering the shortest route.