Title
Information-based management mode based on value network analysis for livestock enterprises
Abstract
AbstractWith the development of computer and IT technologies, enterprise management has gradually become information-based management. Moreover, due to poor technical competence and non-uniform management, most breeding enterprises show a lack of organisation in data collection and management. In addition, low levels of efficiency result in increasing production costs. This paper adopts ‘struts2’ in order to construct an information-based management system for standardised and normalised management within the process of production in beef cattle breeding enterprises. We present a radio-frequency identification system by studying multiple-tag anti-collision via a dynamic grouping ALOHA algorithm. This algorithm is based on the existing ALOHA algorithm and uses an improved packet dynamic of this algorithm, which is characterised by a high-throughput rate. This new algorithm can reach a throughput 42% higher than that of the general ALOHA algorithm. With a change in the number of tags, the system throughput is relatively stable.
Year
DOI
Venue
2018
10.1080/17517575.2016.1228014
Periodicals
Keywords
Field
DocType
Information-based management,beef cattle breeding,RFID,anti-collision,QR code
Data mining,Enterprise management,Data collection,Aloha,Computer science,Network packet,Operations research,Livestock,Throughput,Value network analysis,Management system,Operations management
Journal
Volume
Issue
ISSN
12
1
1751-7575
Citations 
PageRank 
References 
1
0.40
9
Authors
6
Name
Order
Citations
PageRank
Haoqi Liu110.40
Changhoon Lee212315.40
Mingming Han310.40
Zhongbin Su410.40
Varshinee Anu Padigala510.40
Weizheng Shen642.48