A bi-level optimization model of LRP in collaborative logistics network considered backhaul no-load cost

2018 ◽  
Vol 22 (16) ◽  
pp. 5385-5393 ◽  
Author(s):  
Xiaofeng Xu ◽  
Yao Zheng ◽  
Lean Yu
Keyword(s):  
Optimization Model ◽  
Logistics Network ◽  
Collaborative Logistics

scholarly journals A Novel Hybrid Algorithm for Multiobjective Location-Allocation Problem in Emergency Logistics

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Hongrui Chu ◽  
Yahong Chen
Keyword(s):  
Optimization Model ◽  
Complex Model ◽  
Theory And Practice ◽  
Logistics System ◽  
Logistics Network ◽  
Location Allocation ◽  
Emergency Logistics ◽  
Ga Algorithm ◽  
Relief Distribution ◽  
Deprivation Costs

Increased frequency of disasters keeps reminding us of the importance of effective resource distribution in postdisaster. To reduce the suffering of victims, this paper focuses on how to establish an effective emergency logistics system. We first propose a multiobjective optimization model in which the location and allocation decisions are made for a three-level logistics network. Three objectives, deprivation costs, unsatisfied demand costs, and logistics cost, are adopted in the proposed optimization model. Several cardinality and flow balance constraints are considered simultaneously. Then, we design a novel effective IFA-GA algorithm by combining the firefly algorithm and genetic algorithm to solve this complex model effectively. Furthermore, three schemes are proposed to improve the effectiveness of the IFA-GA algorithm. Finally, the numerical results provide several insights on the theory and practice of relief distribution, which also illustrate the validity of the proposed solution algorithm.

Logistics Network Optimization of Import Crude Oil in China Based on Genetic Algorithm

2014 ◽  
Vol 945-949 ◽  
pp. 3126-3129 ◽  
Author(s):  
Jie Chen
Keyword(s):  
Genetic Algorithm ◽  
Crude Oil ◽  
Objective Function ◽  
Network Optimization ◽  
Optimization Model ◽  
Transportation Network ◽  
Original Data ◽  
Coastal Areas ◽  
Logistics Network ◽  
Oil Transportation

The primary goal of this paper is to save logistics cost and reach optimizing configuration of import crude oil transportation network. An optimization model is put forward with an objective function of minimum logistics expense. It is carried out by Genetic Algorithm (GA) and MATLAB with original data of 2012 and predicted data of 2017. Results indicate that large VLCC of 260000-320000 tons is the main tanker type in import crude oil transportation network. And crude oil logistics bases will be formed which are represented by Qingdao, Dalian, Tianjin, Ningbo-Zhoushan, Zhanjiang and Huizhou in coastal areas.

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