Dynamic Logistics Network Optimization Model in Manufacturers' Joint Ventures

ICTE 2013 ◽  
2013 ◽  
Author(s):  
Xiaohui Qin ◽  
Yiyan Qin
Keyword(s):  
Network Optimization ◽  
Joint Ventures ◽  
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 Evacuation Network Optimization Model with Lane-Based Reversal and Routing

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Xing Zhao ◽  
Zhao-yan Feng ◽  
Yan Li ◽  
Antoine Bernard
Keyword(s):  
Emergency Response ◽  
Network Optimization ◽  
Optimization Model ◽  
Simulated Annealing Algorithm ◽  
Search Algorithm ◽  
Single Arc ◽  
Annealing Algorithm ◽  
Upper Level ◽  
Reversal Design ◽  
Lane Based

Sometimes, the evacuation measure may seem to be the best choice as an emergency response. To enable an efficiency evacuation, a network optimization model which integrates lane-based reversal design and routing with intersection crossing conflict elimination for evacuation is constructed. The proposed bilevel model minimizes the total evacuation time to leave the evacuation zone. A tabu search algorithm is applied to find an optimal lane reversal plan in the upper-level. The lower-level utilizes a simulated annealing algorithm to get two types of “a single arc for an intersection approach” and “multiple arcs for an intersection approach” lane-based route plans with intersection crossing conflict elimination. An experiment of a nine-intersection evacuation zone illustrates the validity of the model and the algorithm. A field case with network topology of Jianye District around the Nanjing Olympics Sports Center is studied to show the applicability of this algorithm.

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