DocumentCode :
1816647
Title :
Bottleneck detection analysis for workflow improvement
Author :
Onoda, Sen´ichi ; Yumoto, Masaki ; Maruta, Tetsuya ; Komoda, Norihisa ; Kobayashi, Takashi
Author_Institution :
Dept. of Inf. Syst. Eng., Osaka Univ., Japan
Volume :
4
fYear :
1997
fDate :
12-15 Oct 1997
Firstpage :
3331
Abstract :
This paper proposes a workflow modeling method using the log data of a real work flow monitoring system. The parameters of the model were determined through the stochastic analysis of log data and the interview to clerks. The simulated results of the estimated work-flow model agreed with the observed data. Several types of sensitive analysis critical parameters were clarified
Keywords :
manufacturing data processing; manufacturing resources planning; purchasing; bottleneck detection analysis; log data; real work flow monitoring system; sensitive analysis critical parameters; simulated results; stochastic analysis; workflow improvement; workflow modeling method; Data analysis; Data engineering; Information systems; Modeling; Monitoring; Stochastic processes; Systems engineering and theory; Workflow management software;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
Conference_Location :
Orlando, FL
ISSN :
1062-922X
Print_ISBN :
0-7803-4053-1
Type :
conf
DOI :
10.1109/ICSMC.1997.633153
Filename :
633153
Link To Document :
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