scholarly journals Research on the optimization model of cold chain logistics distribution path under the constraint of carbon emission

2019 ◽  
Vol 1423 ◽  
pp. 012034
Author(s):  
Zhigao Liao ◽  
Yuncheng Quan ◽  
Kerong Jian ◽  
Yi Guo
Keyword(s):  
Optimization Model ◽  
Carbon Emission ◽  
Cold Chain ◽  
Logistics Distribution

scholarly journals A Multi-Scenario Optimization Model for Emergency Cold Chain Logistics Distribution

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Yile Ba ◽  
Chenxi Feng ◽  
Wenpeng Jia ◽  
Xin Liu ◽  
Jianwei Ren
Keyword(s):  
Optimization Model ◽  
Time Windows ◽  
Modern Society ◽  
Cold Chain ◽  
Uncertain Demand ◽  
Temperature Sensitive ◽  
Logistics Center ◽  
Logistics Distribution ◽  
Emergency Situations ◽  
Scenario Optimization

Cold chain logistics has been playing a more and more crucial role in modern society. As a special professional cold chain logistics, emergency cold chain logistics can provide quality assurance for temperature-sensitive products in emergency situations. Due to the fact that demand is uncertain in emergency situations, the cold chain logistics companies have to deal with the issue of uncertainty. However, there is no literature on the emergency cold chain logistics distribution optimization problem with uncertain demand. This research contributes to solving this problem. To deal with uncertain demand in emergency situations, an emergency cold chain logistics distribution optimization model with time windows is proposed based on scenario analysis. The objectives of the model are to minimize the total cost and shorten the delivery time simultaneously. The model can also optimize product procurement and refrigerated vehicle renting. The multi-scenario optimization model is applied to a Chinese cold chain logistics center to verify its effectiveness.

An optimization model of cross-docking scheduling of cold chain logistics based on fuzzy time window

2021 ◽  
pp. 1-15
Author(s):  
Jie Lian
Keyword(s):  
Vehicle Routing ◽  
Optimization Model ◽  
Time Window ◽  
Cold Chain ◽  
Low Carbon ◽  
Scheduling Optimization ◽  
Logistics Distribution ◽  
Cross Docking ◽  
Fuzzy Time Window ◽  
Distribution Cost

In order to improve the distribution efficiency of cold chain logistics and reduce the distribution cost, an optimization model of cross-docking scheduling of cold chain logistics based on fuzzy time window is constructed. According to the complexity of cold chain logistics network, a multi-objective optimization model of cross-docking scheduling of cold chain logistics vehicle routing with fuzzy time window is established. In order to ensure the lowest total cost of cold chain logistics distribution and improve the overall customer satisfaction with service time, the Drosophila optimization algorithm is used to solve the model to obtain the optimal vehicle routing of cross-docking scheduling optimization of cold chain logistics. The simulation test results show that: after the application of the model, the cold chain logistics distribution time is significantly shortened, the distribution cost is significantly reduced, the damage cost is reduced, the carbon emission of vehicles is reduced, and the economic and low-carbon benefits are significantly improved, which can be used as an effective tool to solve the cross-docking scheduling optimization problem of cold chain logistics.

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