The research into ILRIP for single-stage logistics distribution network under stochastic demand based on JITD

2010 ◽  
Author(s):  
Ma Hanwu ◽  
Yang Xiang ◽  
Zhang Dengfan
Keyword(s):  
Distribution Network ◽  
Stochastic Demand ◽  
Single Stage ◽  
Logistics Distribution

Construction of Community Logistics Distribution Network Based on K-Means Algorithm

2014 ◽  
Vol 641-642 ◽  
pp. 1271-1274 ◽  
Author(s):  
Mei Li ◽  
Jian Zhang ◽  
Xiao Peng Zhou
Keyword(s):  
Community Service ◽  
Goal Programming ◽  
Distribution Network ◽  
Suitable Model ◽  
Distribution Centers ◽  
Two Stage ◽  
Logistics Distribution ◽  
Carry Capacity ◽  
Multi Objective Programming ◽  
Network’S Optimization

The paper take the distribution radius and carry capacity as constraint conditions, the author uses two-stage K-means algorithm to cluster community service shops, and determines the distribution region of distribution centers, and constructs a suitable model for distribution center’s locating. Basing on the clustering result, the incompatible two kinds items, i.e. fresh items and the items shopped online, are united in a model to be solved. Since bottom-up approach is used to build distribution network step by step, a multi-objective programming is converted into two relatively independent single goal programming, so the network’s optimization result is of good controllability, and the algorithm’s complexity is greatly reduced. Finally, take 100 communities fresh items as examples to implement algorithm.

scholarly journals An Optimization Model for Logistics Distribution Network of Cross-Border E-Commerce Based on Personalized Recommendation Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Zhongqiang Zhang
Keyword(s):  
Optimization Model ◽  
Distribution Network ◽  
Personalized Recommendation ◽  
Service Cost ◽  
Recommendation Algorithm ◽  
Logistics Distribution ◽  
Cross Border ◽  
Border Trade ◽  
Shopping Experience ◽  
Operation Cost

In order to solve the problems of poor timeliness and high service cost caused by international logistics of cross-border e-commerce and to realize the localization of cross-border trade and improve consumers' shopping experience, much cross-border e-commerce has introduced overseas warehouse business. Because the optimization model for the logistics distribution network of cross-border e-commerce cannot solve the problem of high operation cost, the optimization model for the logistics distribution network of cross-border e-commerce based on a personalized recommendation algorithm is designed. Through the analysis of the logistics distribution network of cross-border e-commerce structure and the construction of logistics distribution network of cross-border e-commerce model and multiobjective optimization of logistics distribution network of cross-border e-commerce, the construction process of the logistics distribution network optimization model is completed. The simulation results verify the effectiveness of the model. By comparison, this model can effectively solve the problems that the original model cannot solve and reduce the operation cost of the logistics distribution network.

scholarly journals Three-Phase Symmetric Distribution Network Fast Dynamic Reconfiguration Based on Timing-Constrained Hierarchical Clustering Algorithm

Symmetry ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1479
Author(s):  
Xingquan Ji ◽  
Xuan Zhang ◽  
Yumin Zhang ◽  
Ziyang Yin ◽  
Ming Yang ◽  
...  
Keyword(s):  
Hierarchical Clustering ◽  
Distribution Network ◽  
Dynamic Reconfiguration ◽  
Single Stage ◽  
Symmetric Distribution ◽  
Cluster Center ◽  
Local Optimum ◽  
Heuristic Rules ◽  
Computational Performance ◽  
Three Phase

This paper develops a novel dynamic three-phase symmetric distribution network reconfiguration (DNR) approach based on hierarchical clustering with timing constraints, which can divide the time period according to the time-varying symmetric load demand and symmetric distributed generations (DGs) output condition for a given time interval. The significance of the proposed technique is that by approximating the cluster center as the load status and DGs output status of the corresponding period, in this way, the intractable dynamic reconfiguration problem can be recast as multiple single-stage static three-phase symmetric DNR problems, which can effectively reduce the complexity of the three-phase symmetric dynamic reconfiguration. Furthermore, an improved fireworks algorithm considering heuristic rules (H-IFWA) is proposed and investigated to efficiently manage each single-stage static three-phase symmetric DNR problem. In order to avoid trapping into a local optimum or to facilitate the computational performance, the power moment method and the coding method based on heuristic rules are employed to reduce the solution space. The effectiveness of the proposed H-IFWA is validated on the IEEE 33, 119-bus system and a practical-scale Taiwan power company (TPC) 84-bus test system with DGs.

The Optimal Design of Logistics Distribution Network with Pre-Sale Period of High-Value and Time-Varying Product under E-Commerce

2011 ◽  
Vol 204-210 ◽  
pp. 1450-1453
Author(s):  
Si Jing Liu ◽  
Jin Zhang ◽  
Guo Qi Li
Keyword(s):  
Numerical Analysis ◽  
Programming Model ◽  
Distribution Network ◽  
Market Price ◽  
Marketing Strategies ◽  
Time Varying ◽  
Logistics Distribution ◽  
The Core ◽  
Brand Recognition ◽  
Over Time

Within the context of the different product types and marketing strategies involved in ecommerce transactions, this paper suggested that high-value and time-varying products (HVTVP) made up the core of the market. These products are characterized by high brand recognition, high market price, price decay over time, and stable physical properties. This paper analyzed the structure of the pre-sale period of HVTVP and described the pre-sale period by dividing it into distinct functions. Based on this analysis, it discussed the characteristics of the logistics distribution network during the pre-sale period and established a decentralized bi-level programming model for the logistics distribution network of HVTVP within this period. This model was solved using an interactive fuzzy algorithm, which was tested and verified through numerical analysis.

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