DocumentCode :
175758
Title :
A workflow optimization by handling subjective attributes with meta-heuristic approach
Author :
Sugawara, Kenji ; Fujita, Hideaki
Author_Institution :
Fac. of Software & Inf. Sci., Iwate Prefectural Univ., Iwate, Japan
fYear :
2014
fDate :
19-21 Aug. 2014
Firstpage :
497
Lastpage :
502
Abstract :
Decision making of worker for appropriate task selection based on workflow is often changed by occurring interruption. Concerned workers of interrupted workflow must optimize workflow to improve consumed time of current tasks by changing engagement of assigned tasks. Although work efficiency is improved by supporting experienced worker for inexperienced worker, time for nurture of inexperienced worker is decreased. In order to minimize the payoff of expected profit for forthcoming work, appropriate task selection of the worker in interruption must approximate to weight of common criteria by pre-task assignment as an ideal task selection through the superior decision maker. Proposed approach in this paper improves the achievement changed of tasks in certain interruption by applying meta-heuristic approach according to subjective attributes of worker.
Keywords :
human resource management; profitability; expected profit payoff; inexperienced worker; interrupted workflow; meta-heuristic approach; pretask assignment; subjective attributes; task selection; workflow optimization; Context; Decision making; Interrupters; Linear programming; Optimization; Organizations; Vectors; decision making; harmony search; interruption; subjective attributes; workflow;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2014 10th International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4799-5150-5
Type :
conf
DOI :
10.1109/ICNC.2014.6975885
Filename :
6975885
Link To Document :
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