An Analysis of the Development of Logistics in Guangxi Beibu Gulf Economic Zone

2011 ◽  
Vol 225-226 ◽  
pp. 178-181
Author(s):  
Qian Lan
Keyword(s):  
Service Level ◽  
Growth Potential ◽  
Beibu Gulf ◽  
Management Mechanism ◽  
Primary Stage ◽  
Logistics Enterprises ◽  
Logistics Market ◽  
Economic Zone ◽  
Logistics Demand ◽  
Pillar Industry

Although the logistics of Beibu gulf (Guangxi) is still in the primary stage such as the small-scaled logistics enterprises, low service level, weak logistics demand, sluggish infrastructure, and the chaotic logistics market, etc, it faces a series of development opportunities, its second-mover advantage is obvious and the growth potential is great. As long as we straighten out the management mechanism, overcome the bottleneck of the system, position accurately, analyze rationally, distribute reasonably, build logistics infrastructure according to the situation of the economic zone, pay great attention to the personnel training and learn from others’ experience, logistics can become a pillar industry in Beibu gulf economic zone.

scholarly journals Regional logistics demand forecasting: a BP neural network approach

2021 ◽  
Author(s):  
Lijuan Huang ◽  
Guojie Xie ◽  
Wende Zhao ◽  
Yan Gu ◽  
Yi Huang
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
Bp Neural Network ◽  
Demand Forecasting ◽  
Indicator System ◽  
Regional Logistics ◽  
Logistics Enterprises ◽  
Logistics Demand ◽  
Bp Neural Network Model

AbstractWith the rapid development of e-commerce, the backlog of distribution orders, insufficient logistics capacity and other issues are becoming more and more serious. It is very significant for e-commerce platforms and logistics enterprises to clarify the demand of logistics. To meet this need, a forecasting indicator system of Guangdong logistics demand was constructed from the perspective of e-commerce. The GM (1, 1) model and Back Propagation (BP) neural network model were used to simulate and forecast the logistics demand of Guangdong province from 2000 to 2019. The results show that the Guangdong logistics demand forecasting indicator system has good applicability. Compared with the GM (1, 1) model, the BP neural network model has smaller prediction error and more stable prediction results. Based on the results of the study, it is the recommendation of the authors that e-commerce platforms and logistics enterprises should pay attention to the prediction of regional logistics demand, choose scientific forecasting methods, and encourage the implementation of new distribution modes.

scholarly journals Multi-objective optimization model of waste tire recycling network

2020 ◽  
Vol 214 ◽  
pp. 03052
Author(s):  
Bin Wang ◽  
HeHua Li
Keyword(s):  
Environmental Protection ◽  
Customer Service ◽  
Service Level ◽  
Decision Variable ◽  
Multi Objective ◽  
Waste Tire ◽  
Multi Objective Programming ◽  
Customer Service Level ◽  
Logistics Enterprises ◽  
Waste Tire Recycling

To achieve sustainable development, logistics enterprises need not only to reduce costs, but also to save energy for environmental protection and improve customer service level. The improvement of reverse logistics management level of waste tires is of great significance to improve the efficiency of the automobile industry. In this paper, multi-objective programming is adopted to establish the waste tire recycling network model. The decision variable is whether the network nodes are set or not, the traffic flow between nodes. Constraints include meeting customer demand, balance of flow in and out of logistics nodes, etc. The model is solved by ε- constraint. Taking the actual data of the enterprise as an example, the operation results show that the operation cost, carbon emission and customer transportation distance can get an consistence within a certain range. Waste tire logistics enterprises can realize the simultaneous improvement of profit, environmental protection and customer service level.

scholarly journals Research on Performance Evaluation of Beibu Gulf Port Development——An Empirical Study of 11 Years of Data

2021 ◽  
Vol 275 ◽  
pp. 02018
Author(s):  
Penliang Qiao ◽  
Yue Li
Keyword(s):  
Performance Evaluation ◽  
Evaluation System ◽  
Entropy Method ◽  
Beibu Gulf ◽  
Balanced Score Card ◽  
Transportation Industry ◽  
Performance Evaluation System ◽  
Water Transportation ◽  
Comprehensive Performance ◽  
Economic Zone

As an important infrastructure facility in our country, ports play a pivotal role in the water transportation industry. Whether the port logistics runs well or not has an important impact on the port customs, regional economy and even the national economy. Based on the three major ports in the Beibu Gulf Economic Zone (Beihai, Qinzhou, and Fangcheng Port), this paper constructs a comprehensive performance evaluation system for ports through a balanced score card, and then introduces data from Beibu Gulf ports, taking this as a case, and using the entropy method to calculate Develop the weights of various indicators in the comprehensive performance evaluation system, evaluate the comprehensive performance of the ports in the Beibu Gulf Economic Zone, and put forward suggestions for increasing the speed of infrastructure construction and focusing on port investment for the Beibu Gulf ports.

Sign in / Sign up

Export Citation Format

Share Document