DocumentCode :
1636189
Title :
Flexible Data Input Layer Architecture (FDILA) for Quick-Response Decision Making Tools in Volatile Manufacturing Systems
Author :
Tavakoli, Siamak ; Mousavi, Ali ; Komashie, Alexander
Author_Institution :
Sch. of Eng. & Design, Brunel Univ., London
fYear :
2008
Firstpage :
5515
Lastpage :
5520
Abstract :
This paper proposes the foundation for a flexible data input management system as a vital part of a generic solution for quick-response decision making. Lack of a comprehensive data input layer between data acquisition and processing systems has been realized and thought of. The proposed FDILA is applicable to a wide variety of volatile manufacturing environments. It provides a generic platform that enables systems designers to define any number of data entry points and types regardless of their make and specifications in a standard fashion. This is achieved by providing a variable definition layer immediately on top of the data acquisition layer and before data pre-processing layer. For proof of concept, National Instruments´ Labview data acquisition software is used to simulate a typical shop floor data acquisition system. The extracted data can then be fed into a data mining module that builds cost modeling functions involving the plant´s Key Performance Factors.
Keywords :
data acquisition; data mining; decision making; flexible manufacturing systems; FDILA; cost modeling function; data acquisition; data extraction; data mining module; data pre-processing system; flexible data input layer management system architecture; plant key performance factor; quick-response decision making tool; volatile manufacturing system; Communications Society; Data acquisition; Data engineering; Data mining; Decision making; Design engineering; Intelligent sensors; Manufacturing industries; Manufacturing systems; Sensor phenomena and characterization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, 2008. ICC '08. IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2075-9
Electronic_ISBN :
978-1-4244-2075-9
Type :
conf
DOI :
10.1109/ICC.2008.1034
Filename :
4534070
Link To Document :
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