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.

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.

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.

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 Robust Optimization of Fourth Party Logistics Network Design under Disruptions

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Jia Li ◽  
Yanqiu Liu ◽  
Ying Zhang ◽  
Zhongjun Hu
Keyword(s):  
Robust Optimization ◽  
Network Design ◽  
Optimization Model ◽  
Artificial Fish Swarm Algorithm ◽  
Logistics Network ◽  
Market Risks ◽  
Artificial Fish Swarm ◽  
Fourth Party Logistics ◽  
Definition Of ◽  
The Cost

The Fourth Party Logistics (4PL) network faces disruptions of various sorts under the dynamic and complex environment. In order to explore the robustness of the network, the 4PL network design with consideration of random disruptions is studied. The purpose of the research is to construct a 4PL network that can provide satisfactory service to customers at a lower cost when disruptions strike. Based on the definition ofβ-robustness, a robust optimization model of 4PL network design under disruptions is established. Based on the NP-hard characteristic of the problem, the artificial fish swarm algorithm (AFSA) and the genetic algorithm (GA) are developed. The effectiveness of the algorithms is tested and compared by simulation examples. By comparing the optimal solutions of the 4PL network for different robustness level, it is indicated that the robust optimization model can evade the market risks effectively and save the cost in the maximum limit when it is applied to 4PL network design.

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.

The Influence Of The Led Luminaires Electrical Parameters On Their Correlated Colour Temperature During Operation Mode

2020 ◽  
pp. 89-96
Author(s):  
Sergei S. Kapitonov ◽  
Alexei S. Vinokurov ◽  
Sergei V. Prytkov ◽  
Sergei Yu. Grigorovich ◽  
Anastasia V. Kapitonova ◽  
...  
Keyword(s):  
Operation Mode ◽  
Light Sources ◽  
Electrical Parameters ◽  
Colour Temperature ◽  
Radiation Spectra ◽  
Service Period ◽  
Close Proximity ◽  
Definition Of ◽  
Comprehensive Study

The article describes the results of comprehensive study aiming at increase of quality of LED luminaires and definition of the nature of changes in their correlated colour temperature (CCT) in the course of operation. Dependences of CCT of LED luminaires with remote and close location of phosphor for 10 thousand hours of operation in different electric modes were obtained; the results of comparison between the initial and final radiation spectra of the luminaires are presented; using mathematical statistics methods, variation of luminaire CCT over the service period claimed by the manufacturer is forecast; the least favourable electric operation modes with the highest CCT variation observed are defined. The obtained results have confirmed availability of the problem of variation of CCT of LED luminaires during their operation. Possible way of its resolution is application of more qualitative and therefore expensive LEDs with close proximity of phosphor or LEDs with remote phosphor. The article may be interesting both for manufacturers and consumers of LED light sources and lighting devices using them.

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