Food-Related Cold-Chain Logistics Management in China

2014 ◽  
Vol 962-965 ◽  
pp. 2373-2376
Author(s):  
Guang Wei Zhao
Keyword(s):  
Economic Development ◽  
Future Development ◽  
Present Situation ◽  
Development Trend ◽  
Vital Role ◽  
Logistics Management ◽  
Cold Chain ◽  
Logistics System ◽  
Logistics Management System ◽  
Development And Management

Food cold chain is systematic project of a county's economic development which plays a vital role. This paper analyzed the composition conditions and characteristics of food cold chain logistics system, discussed the present situation for development and management of China's food cold chain logistics system. Finally we raised effective measures and recommendations for problems and future development trend of the domestic food cold chain logistics management system.

Application of a novel grey forecasting model with time power term to predict China's GDP

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chong Liu ◽  
Wanli Xie ◽  
Tongfei Lao ◽  
Yu-ting Yao ◽  
Jun Zhang
Keyword(s):  
Economic Development ◽  
Prediction Model ◽  
Future Development ◽  
Development Trend ◽  
Forecasting Model ◽  
Grey Prediction ◽  
Content Type ◽  
Grey Prediction Model ◽  
Grey Forecasting ◽  
Grey Forecasting Model

PurposeGross domestic product (GDP) is an important indicator to measure a country's economic development. If the future development trend of a country's GDP can be accurately predicted, it will have a positive effect on the formulation and implementation of the country's future economic development policies. In order to explore the future development trend of China's GDP, the purpose of this paper is to establish a new grey forecasting model with time power term to forecast GDP.Design/methodology/approachFirstly, the shortcomings of the traditional grey prediction model with time power term are found out through analysis, and then the generalized grey prediction model with time power term is established (abbreviated as PTGM (1,1, α) model). Secondly, the PTGM (1,1, α) model is improved by linear interpolation method, and the optimized PTGM (1,1, α) model is established (abbreviated as OPTGM (1,1, α) model), and the parameters of the OPTGM (1,1, α) model are solved by the quantum genetic algorithm. Thirdly, the advantage of the OPTGM (1,1, α) model over the traditional grey models is illustrated by two real cases. Finally the OPTGM (1,1, α) model is used to predict China's GDP from 2020 to 2029.FindingsThe OPTGM (1,1, α) model is more suitable for predicting China's GDP than other grey prediction models.Originality/valueA new grey prediction model with time power term is proposed.

scholarly journals Conception of Logistics Management System for Smart Factory

2018 ◽  
Vol 7 (4.27) ◽  
pp. 126 ◽  
Author(s):  
Zhen Quan Chong ◽  
Cheng Yee Low ◽  
Ubaidullah Mohammad ◽  
Ramhuzaini Abd Rahman ◽  
Mohd Saiful Bahari Shaari
Keyword(s):  
Management System ◽  
Industry 4.0 ◽  
Logistics Management ◽  
Smart Factory ◽  
Logistics System ◽  
Related Data ◽  
Smart Logistics ◽  
Logistic Management ◽  
Logistics Management System ◽  
Smart Factories

An interconnected, data driven smart logistics management system is crucial in a smart factory in context of Industry 4.0. Applying the concept of cyber-physical systems (CPSs) and Internet of Things (IoT) will create a standardized logistics system. This system can be applied across the supply chain to enable the sharing of information in real-time which consequently optimize logistics processes. In this project, a conceptual model of a smart logistics management system between a supplier and a manufacturer using NFC smart tags technology is developed and its application is shown using prototype demonstrator. The system is equipped with functions to monitor and manage logistic related data. The interface is built using windows form application and android phone application. The developed model’s abilities and specifications in context of industry 4.0 is evaluated using the VDMA Toolbox Industry 4.0. In the end this system achieved an average of level 4 in the Industry 4.0 evaluation and this system provides a concept on applying a smart logistic management system for manufacturers as a key step in transforming into smart factories.  

Mechanical Automation of Rice Transplanting and Key Agronomic Techniques

2013 ◽  
Vol 345 ◽  
pp. 498-501
Author(s):  
Li Ying Zhang ◽  
Zhong Xu Zhang ◽  
Quan Ying Li ◽  
Ji Pan Yao ◽  
Ru Hai Li ◽  
...  
Keyword(s):  
Future Development ◽  
Present Situation ◽  
Development Trend ◽  
Economic Benefits ◽  
Rice Production ◽  
Agricultural Machinery ◽  
Modern Agriculture ◽  
Agricultural Mechanization ◽  
Key Aspects

Mechanical automation of rice transplanting was one of the key aspects of rice production mechanical automation that possessed significant social and economic benefits. The present situation and future development trend of rice planting mechanization of our country were expounded in this paper. Through the analysis of agricultural mechanization to modern agriculture, the combination of agricultural machinery and agronomy and the necessity of accelerating the realization of agricultural mechanization were put forward. At last, Key agronomic techniques and materials needed in the process of mechanization transplanting were illustrated detailedly.

Sign in / Sign up

Export Citation Format

Share Document