Hyun Ahn, Kwanghoon Kim, Journal of Internet Computing and Services, Vol. 16, No. 5, pp. 59-66, Oct. 2015
10.7472/jksii.2015.16.5.59, Full Text:  HTML
Keywords: Stochastic Model, Workflow-supported Socail Network, Work-Handover Relationship, Workflow Intelligence

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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