Logistics information management system based on Google cloud computing platform

2012 ◽  
Author(s):  
Jiahai Liu ◽  
Gao Yang ◽  
Haihua Wu ◽  
Linwei Zheng
Keyword(s):  
Cloud Computing ◽  
Information Management ◽  
Management System ◽  
Information Management System ◽  
Computing Platform ◽  
Cloud Computing Platform ◽  
Logistics Information

Design and Implementation of Information Management System Based on Cloud Computing Mode

2014 ◽  
Vol 556-562 ◽  
pp. 6685-6688 ◽  
Author(s):  
Miao Xuan Chen
Keyword(s):  
Cloud Computing ◽  
Information Management ◽  
Management System ◽  
Medical Information ◽  
Design Method ◽  
Information Service ◽  
Cost Savings ◽  
Information Management System ◽  
Five Dimensions ◽  
Computing Platform

At present the application of the system of most enterprises is set up by themselves, which can only be used in the enterprise interior, cannot be effectively used for information sharing, and late upfront costs and maintenance costs are high. In order to solve this problem, this paper presents a design method of the information management system based on cloud computing, which make full use of the advantages of cloud computing platform, implement equipment, information and service coordination together so as to make the enterprise to achieve the purpose of cost savings and realize resources sharing. Geared to the needs of the present situation of the medical information service, this paper combined with the use of private and public clouds, adopts the distributed and parallel computing method of medical cloud, establish medical service system of cloud, to build a five dimensions of the system where hospital, pharmacy, pharmaceutical factory, medical insurance, and patients are connected with each other, integrating the original all kinds of information management system independent of each other into a unified platform, promoting the technology of shared services

CPS Design about Container Freight Management System

2013 ◽  
Vol 303-306 ◽  
pp. 2403-2406
Author(s):  
Fang Qin Xu ◽  
Xi Yu ◽  
Jin Gao Liu
Keyword(s):  
Cloud Computing ◽  
Management System ◽  
Chinese Market ◽  
Distributed Software ◽  
Computing Platform ◽  
Container Management ◽  
Cloud Computing Platform ◽  
Basic Infrastructure ◽  
Cloud Servers ◽  
Container Freight

These years, rapid developments of Internet of Things provide powerful motivation to container freight. As the current situation, Framework of Container system and its basic infrastructure are all in starting stage, unanimous standard and hardware support are two obstructions for it. Considering that Container system will provide profound influences to Chinese market, the authors mainly design a CPS architecture of Container Management system and transplant software parts to Cloud computing platform. After that, the new container system will fully take advantage of Internet and reduce reliance toward computer’s hardware. After utilizing distributed software of Cloud servers, the management system will become much more efficient, providing a better service platform for consumers.

Design Research on Computer Logistics Information Management System

2014 ◽  
Vol 599-601 ◽  
pp. 2157-2159
Author(s):  
Jin Sheng Song
Keyword(s):  
Information System ◽  
Information Management ◽  
Management System ◽  
Design Research ◽  
Functional Module ◽  
Information Management System ◽  
Logistics Information System ◽  
Intelligent Decision Making ◽  
Logistics Company ◽  
Logistics Information

The database, functional module and intelligent decision-making technique of the computer logistics information management system of some logistics company are analyzed in details by taking the logistics information system of some logistics company as the example; the basic principle structure and relevant technique of the computer logistics information management system are stated; finally, the analysis design scheme for the system is put forwards; the key function design of the system is additional provided with the compilation of the function code in order to offer reader reference; and it provides reference to develop the computer logistics information system further. Key words: Computer, logistics information, management system

scholarly journals ERP System in the Logistics Information Management System of Supply Chain Enterprises

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Qingping Li ◽  
Guoqiang Wu
Keyword(s):  
Information System ◽  
Supply Chain ◽  
Information Management ◽  
Management Information System ◽  
Management System ◽  
Information Management System ◽  
Logistics Management ◽  
Management Information ◽  
Erp System ◽  
Logistics Information

In the era of rapid development of information, with the popularization of computers, the development of science and technology, and the continuous growth of IT technology and business, the enterprise resource planning (ERP) system has become a platform and guarantee for the completion of business management processes after long-term operations. Establishing a logistics management information system is an important means for Chinese companies to improve their logistics efficiency. This is the prerequisite for modern companies to gain a competitive advantage in the management of logistics companies. Therefore, organizations must adapt to different needs, fierce competition, and rapid strategic changes. This is a powerful supplement to the nature of logistics companies. The logistics management information system has continuously experienced the processes of MRP, MRP II, and ERP. This article aims to study how to use computers in logistics management to create an ERP system-based enterprise logistics information management system. This article puts forward the development significance of logistics information management system, uses ERP system to analyze complex logistics business in detail, and designs the overall framework, specific functions, and data model of the system in detail. The experimental results of this paper show that the ERP system has important application value in the logistics information management system of supply chain enterprises, and it can effectively increase the value of customer satisfaction by 86.7%.

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