DocumentCode :
3118151
Title :
Using Control Theory to Improve Productivity of Service Systems
Author :
Diao, Yixin
Author_Institution :
IBM, Yorktown Heights
fYear :
2007
fDate :
9-13 July 2007
Firstpage :
435
Lastpage :
442
Abstract :
The trend towards service business is progressing rapidly throughout the world economics. Responding to the demands for service innovation and service productivity improvement, service science is emerging as a new research field that applies multi-disciplinary studies to service systems. In this paper we propose using control theory as a means to design service management solutions that are robust to system dynamics and uncertainty. We further present several control problems and challenges that are fundamental to service systems, and the opportunities of applying control theory to modeling service systems, controlling service resources, and monitoring service quality. Moreover, we demonstrate how control technologies can be applied to service systems through three case studies: (1) quantifying the complexity and IT management, (2) dispatching consultants in service transition, and (3) monitoring service quality and variability.
Keywords :
DP management; consultancies; monitoring; quality control; robust control; uncertain systems; IT management; consultant dispatching; control theory; multidisciplinary studies; service innovation; service management solutions; service productivity improvement; service quality monitoring; service resources control; service science; service system modelling; service system productivity; service transition; system dynamics robustness; uncertainty robustness; world economics; Control system synthesis; Control systems; Control theory; Monitoring; Productivity; Quality management; Robust control; Technological innovation; Technology management; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Services Computing, 2007. SCC 2007. IEEE International Conference on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7695-2925-9
Type :
conf
DOI :
10.1109/SCC.2007.124
Filename :
4278688
Link To Document :
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