DocumentCode
3400125
Title
Increasing the Flexibility and Intelligence of Material Handling through the Factory by Integrated Fuzzy Logic Controller with Programmable Logic Controller
Author
Yahyaei, Mehdi ; Labib, Ashraf W.
Author_Institution
Manchester Univ.
fYear
2005
fDate
25-25 May 2005
Firstpage
408
Lastpage
413
Abstract
Material handling in manufacturing systems is becoming easier as the automated machine technology is improved. Increasing the flexibility and intelligence of material handling devices through the factory, provides great advantages for industry. Reducing the labour cost, reducing the lead time, better quality and so on, are the major advantages which are provided. Nowadays, most of the research aims at increasing flexibility and improving performance of automatic guided vehicles (AGVs) which is the major vehicle in material handling. This paper bases on two previous works by authors which were proposing integrated fuzzy logic controller with programmable logic controller (IFLPLC) and the second one is controlling the navigation of an automatic guided vehicle (AGVs) using (IFLPLC). Using integrated fuzzy logic programmable logic control (IFLPLC) it was possible to increase the flexibility of AGV and achieve great advantages, which can be used in the future. Since this AGV uses PLC and FLC together then it will be useful for factories, which implement flexible manufacturing systems (FMSs)
Keywords
automatic guided vehicles; flexible manufacturing systems; fuzzy control; intelligent control; materials handling; programmable controllers; IFLPLC; automatic guided vehicles; computer integrated manufacturing; flexible manufacturing systems; fuzzy control; fuzzy logic controller; intelligent control; materials handling; programmable logic controller; Automatic control; Electrical equipment industry; Fuzzy logic; Machine intelligence; Manufacturing industries; Manufacturing systems; Materials handling; Production facilities; Programmable control; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2005. FUZZ '05. The 14th IEEE International Conference on
Conference_Location
Reno, NV
Print_ISBN
0-7803-9159-4
Type
conf
DOI
10.1109/FUZZY.2005.1452428
Filename
1452428
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