Study of logistics network optimization model considering carbon emissions

2017 ◽  
Vol 8 (S2) ◽  
pp. 1102-1108
Author(s):  
Yong Ye ◽  
Jing Wang
Keyword(s):  
Carbon Emissions ◽  
Network Optimization ◽  
Optimization Model ◽  
Logistics Network

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.

B2C e-commerce logistics network optimization model

2022 ◽  
Vol 30 (3) ◽  
pp. 0-0
Keyword(s):  
Gravity Model ◽  
Network Structure ◽  
Network Optimization ◽  
Optimization Model ◽  
Operation Mode ◽  
Cost Optimization ◽  
Urban Agglomeration ◽  
Logistics Network ◽  
Definition Of ◽  
Full Investigation

In this paper, considering the characteristics of e-commerce logistics and the problems arising from the construction of logistics network, based on the full investigation and research of the B2C electricity supplier operation mode, we have studied and summarized the research results of scholars at home and abroad aiming at the related problems, and summarized and summarized the methods and steps of logistics network optimization in the whole country. First, we established the logistics network structure.The definition of network level, node function and connection between nodes is carried out. Then, through the improved urban agglomeration order gravity model, the scope of self logistics city is screened. Finally, the link of logistics network structure is scheduled for completion with the goal of cost optimization.

scholarly journals B2C E-Commerce Logistics Network Optimization Model

2022 ◽  
Vol 30 (3) ◽  
pp. 1-19
Author(s):  
Xiaheng Zhang
Keyword(s):  
Gravity Model ◽  
Network Structure ◽  
Network Optimization ◽  
Optimization Model ◽  
Operation Mode ◽  
Cost Optimization ◽  
Urban Agglomeration ◽  
Logistics Network ◽  
Definition Of ◽  
Full Investigation

In this paper, considering the characteristics of e-commerce logistics and the problems arising from the construction of logistics network, based on the full investigation and research of the B2C electricity supplier operation mode, we have studied and summarized the research results of scholars at home and abroad aiming at the related problems, and summarized and summarized the methods and steps of logistics network optimization in the whole country. First, we established the logistics network structure.The definition of network level, node function and connection between nodes is carried out. Then, through the improved urban agglomeration order gravity model, the scope of self logistics city is screened. Finally, the link of logistics network structure is scheduled for completion with the goal of cost optimization.

scholarly journals An Integrated Forward/Reverse Logistics Network Optimization Model for Multi-Stage Capacitated Supply Chain

iBusiness ◽  
2011 ◽  
Vol 03 (02) ◽  
pp. 229-235 ◽  
Author(s):  
Lida Tafaghodi Khajavi ◽  
Seyed-Mohammad Seyed-Hosseini ◽  
Ahmad Makui
Keyword(s):  
Supply Chain ◽  
Network Optimization ◽  
Reverse Logistics ◽  
Optimization Model ◽  
Logistics Network ◽  
Multi Stage ◽  
Reverse Logistics Network

scholarly journals Optimization on Emergency Resources Transportation Network Based on Bayes Risk Function: A Case Study

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Changfeng Zhu ◽  
Gang Fang ◽  
Qingrong Wang
Keyword(s):  
Travel Time ◽  
Network Optimization ◽  
Optimization Model ◽  
Ant Colony Algorithm ◽  
Risk Function ◽  
Path Selection ◽  
Bayes Risk ◽  
Logistics Network ◽  
Emergency Logistics ◽  
Remaining Capacity

In order to coordinate the complex relationship between supplies distribution and path selection, some influential factors must be taken into account such as the insufficient remaining capacity of the road and uncertainty of travel time during supplies distribution and transportation. After the structure of emergency logistics network is analyzed, the travel time Bayes risk function of path and the total loss Bayes risk function of the disaster area are proposed. With the emergency supplies total transportation unit loss as the goal, an emergency logistics network optimization model under crowded conditions is established by the Bayes decision theory and solved by the improved ant colony algorithm. Then, a case of the model is validated to prove that the emergency logistics network optimization model is effective in congested conditions.

scholarly journals Dry Ports-Seaports Sustainable Logistics Network Optimization: Considering the Environment Constraints and the Concession Cooperation Relationships

2017 ◽  
Vol 24 (s3) ◽  
pp. 143-151 ◽  
Author(s):  
Hairui Wei ◽  
Zhaohan Sheng
Keyword(s):  
Carbon Emissions ◽  
Network Optimization ◽  
Evaluation Method ◽  
Rapid Development ◽  
Weighted Averaging ◽  
Logistics Network ◽  
Location Allocation ◽  
Sustainable Logistics ◽  
Cooperation Mechanism ◽  
Dry Ports

Abstract In China dry ports enter into a rapid development period now, however for many Chinese dry ports, the operation faces difficulties duo to inefficient logistics networks and cooperation relationship between dry ports and seaports. Focusing on the concession cooperation mechanism of seaports and dry ports, and the environmental constraints (carbon emissions and congestion cost), a bi-objective location-allocation MILP model for the sustainable hinterland-dry ports-seaports logistics network optimization is formulated, aiming at the system logistics costs and carbon emissions to be minimized. Moreover, for the cooperation mechanism of seaports to dry ports, a parameter called cooperation cost concession coefficient is proposed for the optimization model, and a new evaluation method based on the ordered weighted averaging (OWA) operator is used to evaluate it. Then a location-allocation decision-making framework for the hinterland-dry port-seaport logistics network is proposed. The innovative aspect of the model is that it can proposes a effective and environment friendly dry ports location strategic and also give insights into the connective cooperation relationships, and cargo flows of the network. A case study involving configuration of dry ports in Henan Province is conducted, and the model is successfully applied.

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