Building a business process model using temporal knowledge when implementing process management

Abstract

The article’s subject matter are business processes, which are a sequence of work, which are provided with resources and create products and services that are valuable for the customers of such processes. The aim is to develop an approach to solving the problems of implementing process management based on the automated detection of temporal knowledge, which makes it possible to establish conditions and restrictions on the execution of process actions, considering their actual temporal order, and thus makes it possible to consider the personal knowledge of process performers both in building and refining their model. Objectives: To structure the process management tasks, considering the interaction between the subtasks of process management implementation and business process management tasks; to develop a method for building a business process prototype using temporal knowledge. The approaches used are process management methods, process mining methods, temporal knowledge methods. The scientific novelty of the obtained results is as follows. The article develops a method for building a model of the business process "as it is", performed in an enterprise, using temporal knowledge. The method includes stages of forming temporal knowledge in the form of rules that determine the sequence of process actions in time, selection of subsets of rules that specify sequential and parallel or alternative execution of process actions, and stages of building the business process model in the form of a workflow graph that considers the identified temporal rules. In practice, the method creates conditions for the implementation of continuous improvement of the business process based on the iterative identification and further use of the tacit knowledge of the performers, which is reflected in the temporal rules.