Optimal Design of Two-stage Logistics Network Considered Inventory by Boltzmann Random Key-based GA

2010 ◽  
Vol 5 (2) ◽  
pp. 195-202 ◽  
Author(s):  
Shinichiro Ataka ◽  
Byungki Kim ◽  
Mitsuo Gen
2021 ◽  
Vol 187 ◽  
pp. 116565
Author(s):  
Xinli Wang ◽  
Lei Wang ◽  
Yajie Song ◽  
Jie Deng ◽  
Youjie Zhan

Author(s):  
Long He ◽  
Zhengyan Zhang ◽  
Yunshan Guo ◽  
Yi Yang ◽  
Baoyuan Lu ◽  
...  

2020 ◽  
Vol 10 (7) ◽  
pp. 2564
Author(s):  
Liying Yan ◽  
Manel Grifoll ◽  
Pengjun Zheng

Taking cold-chain logistics as the research background and combining with the overall optimisation of logistics distribution networks, we develop two-stage distribution location-routing model with the minimum total cost as the objective function and varying vehicle capacity in different delivery stages. A hybrid genetic algorithm is designed based on coupling and collaboration of the two-stage routing and transfer stations. The validity and feasibility of the model and algorithm are verified by conducting a randomly generated test. The optimal solutions for different objective functions of two-stage distribution location-routing are compared and analysed. Results turn out that for different distribution objectives, different distribution schemes should be employed. Finally, we compare the two-stage distribution location-routing to single-stage vehicle routing problems. It is found that a two-stage distribution location-routing system is feasible and effective for the cold-chain logistics network, and can decrease distribution cost for cold-chain logistics enterprises.


2018 ◽  
Vol 111 ◽  
pp. 185-202 ◽  
Author(s):  
Chun Cheng ◽  
Mingyao Qi ◽  
Ying Zhang ◽  
Louis-Martin Rousseau

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