Chaparro-Baquero, Gustavo A.

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    Petri net workflow modeling for digital publishing measuring quantitative dependability attributes
    (2006) Chaparro-Baquero, Gustavo A.; Santiago-Santiago, Nayda G.; College of Engineering; Vega-Riveros, José Fernando; Rivera, Wilson; Department of Electrical and Computer Engineering; Orengo, Karen
    This work presents the concept of workflow modeling using Generalized Sto- chastic Petri Nets (GSPN) for the Digital Publishing business process and how the attributes of dependability are measured in a quantitative form. In this approach, these are measured from the workflow model itself instead from a combinatorial model adapting some methodologies and strategies for combinatorial model build to the creation of the workflow process definition, improving the analysis of a work- flow model. This approach will lead to make the model more versatile. Contrasting the analysis provided in other research projects, our work proposes an analysis of quantitative dependability over a workflow model, and not only an analysis of its structure and performance. Publishing market competence is highly close and prices are regulated by the market itself with a very little gap between cost and profit. How reliable or, even more, trustable a print-shop could be to its client means to increase or decrease that gap of profitableness. Applying these measure concepts to the Digital Publishing pre-press process provides a better workflow management in this area than current procedures, since this process is based on its trustworthiness. Modeling the business process of Digital Publishing using the theory of Workflow- Nets and translating them into GSPN, we obtain a Quantitative Dependability WF- net based Model (QDWM). The methodology for creating a QDWM, which allows workflow modeling measuring quantitative dependability attributes is introduced, and the results for a case study on preflight and ripping stages of the Digital Publishing workflow are presented. A contrast between results from a Fault Tree Model (Combinatorial Model) and a QDWM, shows that the later is able to measure quantitative dependability attributes maintaining its main intended function: to be a workflow model.