Динамическое моделирование предприятия на основе сетей Петри

• Дата: 2018
• Автор: Лисецкий, Юрий Михайлович
• Формат: Стаття
• Мова: rus
• Опубліковано: Kamianets-Podilskyi National Ivan Ohiienko University 2018
• Онлайн доступ: http://mcm-tech.kpnu.edu.ua/article/view/140042
• Назва журналу: Mathematical and computer modelling. Series: Technical sciences

The paper considered the problem of modeling the enterprise as a complex production system. It has been demonstrated that imitational (dynamic) modeling is the most adequate method for building business models that describe enterprise functioning. Imitational modeling considers model as a combination of rules defining the state into which the modeled object will get from certain preceding state. The process of dynamic enterprise modeling can be described as a sequence of the following actions: the enterprise is brought to hierarchical model formed by elementary functional modules (business functions) which are combined into informational streams (business processes) and by enterprise organizational structure (business organization). The aggregate of business functions models, business process models and business organization model is the imitational business model of the enterprise. The Petri nets have been considered as a means to build and analyze system dynamic models. The analysis allows eliciting information on structure and dynamic behavior of the modeled system. This information is required to assess the modeled system and generate suggestions on its improvement. This allows flexible usage of the above mathematical apparatus to reflect and analyze cause-and-effect relations in different processes in discrete dynamic systems. Behavior of such systems is described by the execution of the event model and Petri nets are used to model structure and dynamics of its functioning. There have been described methods and elements of enterprise dynamic modeling based on Petri nets. Types and essential features of Petri nets are described. There has been given recommendation for process modeling in the Petri nets streams. There has been demonstrated that efficiency of Petri nets is significantly high.