DocumentCode :
1972984
Title :
A secure collaborative e-diagnostics framework for semiconductor factories
Author :
Hung, Min-Hsiung ; Hsu, Feng-Yi ; Wang, Tsung-li ; Cheng, Fan-tien ; Lai, Robin ; Huang, Tina
Author_Institution :
Dept. of Electr. Eng., Nat. Defence Univ., Taoyuan, Taiwan
fYear :
2005
fDate :
1-2 Aug. 2005
Firstpage :
185
Lastpage :
190
Abstract :
According to the collaborative diagnostics functions and the interface C requirements suggested in the recent e-diagnostics guidebook of International SEMATECH, this paper proposes a novel e-diagnostics framework, called secure collaborative e-diagnostics framework (SCDF). SCDF is developed based on the technologies of Web services, clustering, and new-generation information security. In addition to providing a variety of e-diagnostics functions, SCDF possesses mechanisms to solve several important issues, such as data isolation for different suppliers, supporting remote diagnoses through multi-party collaboration, diagnostics service and storage failover for assuring system availability and the security measures related to above issues. SCDF provides a possible solution to part of the e-diagnostics interface C and can be applied in semiconductor industry to increase the equipment effectiveness and availability.
Keywords :
Internet; diagnostic expert systems; groupware; security of data; semiconductor device manufacture; Web services; data isolation; diagnostics service; interface C; multi-party collaboration; new-generation information security; secure collaborative e-diagnostics framework; semiconductor factories; storage failover; Collaborative work; Contracts; Data security; Electronics industry; Extranets; Information security; International collaboration; Internet; Production facilities; Web services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation Science and Engineering, 2005. IEEE International Conference on
Print_ISBN :
0-7803-9425-9
Type :
conf
DOI :
10.1109/COASE.2005.1506766
Filename :
1506766
Link To Document :
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