Document Type
Conference Paper
Publication Date
2016
DOI
10.1088/1757-899X/142/1/012135
Publication Title
IOP Conference Series: Materials Science and Engineering
Volume
142
Issue
1
Pages
012135
Conference Name
VIII International Scientific Practical Conference "Innovative Technologies in Engineering" 19-21 May 2016, Yurgia, Russian Federation
Abstract
Introduction - Business processes are gradually becoming a tool that allows you at a new level to put employees or to make more efficient document management system. In these directions the main work, and presents the largest possible number of publications. However, business processes are still poorly implemented in public institutions, where it is very difficult to formalize the main existing processes. Us attempts to build a system of business processes for such state agencies as the Russian social insurance Fund (SIF), where virtually all of the processes, when different inputs have the same output: public service. The parameters of the state services (as a rule, time limits) are set by state laws and regulations.
The article provides a brief overview of the FSS, the formulation of requirements to business processes, the justification of the choice of software for modeling business processes and create models of work in the system Runa WFE and optimization models one of the main business processes of the FSS. The result of the work of Runa WFE is an optimized model of the business process of FSS.
Rights
© 2024 The Authors.
Content from this work may be used under the terms of the Creative Commons Attribution 3.0 Unported (CC BY 3.0) License.
Original Publication Citation
Kataev, M. Y., Bulysheva, L. A., Xu, L. D., & Loseva, N. V. (2016). Modeling business processes of the social insurance fund in information system Runa WFE. 142(1), 012135. https://dx.doi.org/10.1088/1757-899X/142/1/012135
Repository Citation
Kataev, M. Yu; Bulysheva, L. A.; Xu, Li D.; and Loseva, N. V., "Modeling Business Processes of the Social Insurance Fund in Information System Runa WFE" (2016). Information Technology & Decision Sciences Faculty Publications. 103.
https://digitalcommons.odu.edu/itds_facpubs/103