Identification and Assimilation of Knowledge for Real-Time Control of Enterprise Processes in Manufacturing

Author

Grauer, Manfred ; Metz, Daniel ; Karadgi, Sachin S. ; Schafer, Wilhelm

Author_Institution

Inf. Syst. Inst., Univ. of Siegen, Siegen, Germany

fYear

2010

fDate

10-15 Feb. 2010

Firstpage

13

Lastpage

16

Abstract

Today´s enterprises are operating in a complex and volatile business environment. To address this situation, enterprises try to realize horizontal and vertical integration of business and engineering processes leading to real-time enterprise. Enterprise data model assists in integrating data generated from automation systems in (milli) seconds and data from business applications referring to long time horizons (e.g., days). However, the integrated data is not used extensively for real-time control of enterprise processes. Therefore, a methodology is presented for identification and assimilation of knowledge for real-time control of enterprise processes. Real-time control of enterprise processes aims at increasing performances in manufacturing.

Keywords

data mining; data models; manufacturing data processing; automation systems; business environment; business processes; data mining; engineering processes; enterprise data model; enterprise processes; knowledge discovery; Automatic control; Data mining; Data models; Databases; IEC standards; ISO standards; Knowledge management; Manufacturing processes; Process control; Service oriented architecture; data mining; enterprise integration; knowledge discovery in databases; manufacturing; real-time control;

fLanguage

English

Publisher

ieee

Conference_Titel

Information, Process, and Knowledge Management, 2010. eKNOW '10. Second International Conference on

Conference_Location

Saint Maarten

Print_ISBN

978-1-4244-5688-8

Type

conf

DOI

10.1109/eKNOW.2010.14

Filename

5430047