@Article{iasc.2020.010139,
AUTHOR = {Yefeng Liu, Yuan Zhao, Kangju Li, Shengping Yu, Shaowu Li},
TITLE = {Design and Application Research of a Digitized Intelligent Factory in a  Discrete Manufacturing Industry},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {26},
YEAR = {2020},
NUMBER = {5},
PAGES = {1081--1096},
URL = {http://www.techscience.com/iasc/v26n5/40827},
ISSN = {2326-005X},
ABSTRACT = {The intelligent flexible system is a powerful means for manufacturing 
enterprises to achieve high efficiency and high output. The physical structure of 
the flexible system is constructed in this paper. The three systems; workshop 
intelligent logistics system, management and control system and three flexible 
processing that produce four products are given by the deeper design. The local 
workshop net which contains; position sensors, radio frequency identification 
(RFID), AGVs, intelligent machine, robots, raw materials and operation devices 
is constructed in this paper. The software, which includes gages, real-time 
workshops, logistics trolley, and information of all kinds of logistics process and 
processing, in which the flexible intelligent manufacturing system was given. 
Intelligent identification, position tracking, device monitoring and control are 
realized. Within the system disturbed information from different raw materials, 
dynamic water and electricity, customer order uncertainty, on-site process 
parameters, management automation, and intelligence comes to be true. Physical 
and virtual simulation results and best-case data mining application processes were 
given. Finally, the system’s next expansion and deployment interface is given and 
moves forward to the next step.},
DOI = {10.32604/iasc.2020.010139}
}