scholarly journals Research on Enterprise Supply Chain Optimization Model and Algorithm Based on Fuzzy Clustering

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Shizhen Bai ◽  
Hongbin Sun
Keyword(s):  
Supply Chain ◽  
Fuzzy Clustering ◽  
Network Structure ◽  
Optimization Model ◽  
Economies Of Scale ◽  
Clustering Algorithm ◽  
Distribution Network ◽  
Supply Chain Optimization ◽  
Logistics Distribution ◽  
Logistics Enterprises

Reasonable logistics distribution network structure can not only effectively reduce the cost of logistics enterprises themselves but also reduce the social cost. Through effective supply chain management, enterprises can significantly reduce costs, improve competitiveness, and enhance their ability to resist risks. Because the single-level distribution network structure of production enterprises is not suitable for large-scale logistics distribution, this paper proposes a distribution network structure design that accords with economies of scale and establishes an enterprise supply chain optimization model based on the fuzzy clustering algorithm. Using this optimization method to optimize the inventory of enterprise logistics supply chain, the operation is fast, the result is correct and reasonable, and it can provide good decision support for the distribution network of logistics enterprises. Through information technology and modern management technology, we should effectively control and coordinate the logistics, information flow, and capital flow in the production and operation process and organically integrate the internal supply chain with the external supply chain for management, so as to achieve the goal of global optimization.

scholarly journals A Customer Clustering Algorithm for Power Logistics Distribution Network Structure and Distribution Volume Constraints

2021 ◽  
Vol 15 ◽  
pp. 1051-1056
Author(s):  
Jianying Zhong ◽  
Jibin Zhu ◽  
Yonghao Guo ◽  
Yunxin Chang ◽  
Chaofeng Zhu
Keyword(s):  
Network Structure ◽  
Clustering Algorithm ◽  
Distribution Network ◽  
Distribution Volume ◽  
Distribution Center ◽  
Vehicle Scheduling ◽  
Route Optimization ◽  
Scheduling Optimization ◽  
Logistics Distribution ◽  
Center Location

Customer clustering technology for distribution process is widely used in location selection, distribution route optimization and vehicle scheduling optimization of power logistics distribution center. Aiming at the problem of customer clustering with unknown distribution center location, this paper proposes a clustering algorithm considering distribution network structure and distribution volume constraint, which makes up for the defect that the classical Euclidean distance does not consider the distribution road information. This paper proposes a logistics distribution customer clustering algorithm, which improves CLARANS algorithm to make the clustering results meet the constraints of customer distribution volume. By using the single vehicle load rate, the sufficient conditions for logistics distribution customer clustering to be solvable under the condition of considering the ubiquitous and constraints are given, which effectively solves the problem of logistics distribution customer clustering with sum constraints. The results state clearly that the clustering algorithm can effectively deal with large-scale spatial data sets, and the clustering process is not affected by isolated customers, The clustering results can be effectively applied to the distribution center location, distribution cost optimization, distribution route optimization and distribution area division of vehicle scheduling optimization.

scholarly journals Optimizing Resource Utilization in Biomass Supply Chains by Creating Integrated Biomass Logistics Centers

Energies ◽  
2020 ◽  
Vol 13 (22) ◽  
pp. 6153
Author(s):  
Xuezhen Guo ◽  
Juliën Voogt ◽  
Bert Annevelink ◽  
Joost Snels ◽  
Argyris Kanellopoulos
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Resource Utilization ◽  
Optimization Model ◽  
Biobased Products ◽  
Knowledge Gap ◽  
Supply Chain Optimization ◽  
Biomass Logistics ◽  
Idle Capacity

Bio-based supply chains are by nature complex to optimize. The new logistic concept of integrated biomass logistical center (IBLC) provides us the opportunity to make full use of the idle capacity for a food/feed plant to produce biobased products so that the entire chain efficiency can be improved. Although research has been conducted to analyze the IBLC concept, is yet to be an optimization model that can optimally arrange the activities in the supply chain where an IBLC stands in the middle. To fill the knowledge gap in the literature, this paper makes the first step to develop a MILP model that enables biobased supply chain optimization with the IBLC concept, which supports logistic and processing decisions in the chain. The model is applied in a case study for a feed and fodder plant in Spain where managerial insights have been derived for transferring the plant to a profitable IBLC.

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.

GIS-enabled biomass-ethanol supply chain optimization: model development and Miscanthus application

2013 ◽  
Vol 7 (3) ◽  
pp. 314-333 ◽  
Author(s):  
Tao Lin ◽  
Luis F Rodríguez ◽  
Yogendra N Shastri ◽  
Alan C Hansen ◽  
KC Ting
Keyword(s):  
Supply Chain ◽  
Optimization Model ◽  
Model Development ◽  
Supply Chain Optimization

scholarly journals B2C E-COMMERCE CUSTOMIZED LOGISTICS AREA INVENTORY ALLOCATION STRATEGY BASED ON CONSTRAINED CLUSTERING ALGORITHM

2018 ◽  
Vol 48 (3) ◽  
pp. 217-222
Author(s):  
J. K. HUANG
Keyword(s):  
Growth Rate ◽  
Clustering Algorithm ◽  
Online Shopping ◽  
Distribution Network ◽  
Distribution Area ◽  
Logistics Network ◽  
Logistics Distribution ◽  
Routing Optimization ◽  
Inventory Allocation ◽  
At Home

Logistics network includes regional logistics network and urban logistics network. In this paper, the urban logistics network is taken as the research object. With the improvement of the consumption level of the residents, the attention to quality has become an important reference standard for consumers to choose e-commerce, which makes the electric business shift from "price war" to "service war". Compared with past purchases in physical stores, most consumers prefer to choose convenient and fast online shopping. As a result, the size of the online shopping market has increased rapidly. According to statistics, the growth rate of the online shopping market in the past five years is over 100%, and the growth rate will slow down in the next few years, but it will still maintain steady growth. The importance of logistics for an e-business enterprise is obvious. The improvement and perfection of logistics distribution network is imminent. Scholars at home and abroad have studied this aspect for a long time. This research is based on the optimization of ecommerce logistics distribution network. By summing up the ideas and solutions proposed by researchers at home and abroad for this problem, and combining with the actual situation, a method of optimizing the B2C e-commerce logistics distribution network is designed. Considering the special traffic situation and the actual order demand in the city, the distribution area division, the distribution site stratification, the vehicle routing optimization and the logistics network optimization model are set up, and a combination of various methods is used to solve the problem.

Sign in / Sign up

Export Citation Format

Share Document