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ÇѱÛÁ¦¸ñ(Korean Title) |
¿öÅ©ÇÃ·Î¿ì ±â¹Ý ¼Ò¼È ³×Æ®¿öÅ©ÀÇ È®·üÀû ¾÷¹«Àü´Þ °ü°è ¸ðµ¨ |
¿µ¹®Á¦¸ñ(English Title) |
A Stochastic Work-Handover Relationship Model in Workflow-supported Social Networks |
ÀúÀÚ(Author) |
¾ÈÇö
±è±¤ÈÆ
Hyun Ahn
Kwanghoon Kim
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¿ø¹®¼ö·Ïó(Citation) |
VOL 16 NO. 05 PP. 0059 ~ 0066 (2015. 10) |
Çѱ۳»¿ë (Korean Abstract) |
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¿µ¹®³»¿ë (English Abstract) |
A stochastic modeling approach as a mathematical method for workflow intelligence is widely used for analyzing and simulating workflow models in the literature. In particular, as a resource-centric modeling approach, this paper proposes a stochastic model to represent work-handover relationships between performers in a workflow-supported social network. Calculating probabilities for the work-handover relationships are determined by two types of probabilities. One is the work-transition probability between activities, and the other is the task assignment probability between activities and performers. In this paper, we describe formal definitions of stochastic workflow models and stochastic work-handover relationship models, as well. Then, we propose an algorithm for extracting a stochastic work-handover relationship model from a stochastic workflow model. As a consequence, the proposed model ought to be useful in performing resource-centric workflow simulations and model-log comparison analyses.
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Å°¿öµå(Keyword) |
È®·üÀû ¸ðµ¨
¿öÅ©ÇÃ·Î¿ì ±â¹Ý ¼Ò¼È ³×Æ®¿öÅ©
¾÷¹«Àü´Þ °ü°è
¿öÅ©Ç÷οì ÀÎÅÚ¸®Àü½º
Stochastic Model
Workflow-supported Socail Network
Work-Handover Relationship
Workflow Intelligence
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