Improving Efficiency: P-Graph Modeling for Business Workflows with Dynamic and Fuzzy Extensions

Abstract

The solution for an error-free and cost-effective operation of complex administrative and business processes, or rather, the effectiveness of the solution, is a very important issue in both the profit-oriented and the non-profit sector. This is because the optimal effectiveness of business and administrative automation processes is a high-priority business purpose. Workflow is the most widely used modeling technique in the field of business and administrative information systems. There is no process-based method among the workflow-based modeling methods applied for elucidation, modeling and optimization of work processes that systematically leads to the optimal workflow network structures. In this paper, after a semi-systematic review on P-graph scientific literature, a new means for P- graph based modeling of administrative and business processes is introduced and various usage fields are explored. Based on the review, focusing on keywords research potential is revealed, for this specific research field. The dynamic and fuzzy extension of the P-graph modeling is justified for business processes and a fast method, with a mathematical foundation is presented for optimal workflow model generation. The model is able to handle not only the process structure, but also, the input, intermediate and output documents, taking into account the required and available resources (qualitative and quantitative) as well as the constraint parameters, the bottlenecks and the fuzzy features of real business processes.