The project titled “Agent-Based Production Systems Simulation Tool“, in which faculty members of the Faculty of Engineering and Natural Sciences of our university took part, was deemed successful within the scope of 1501 TÜBİTAK Industry R&D Projects Support Program and was entitled to benefit from the grant fund. In the project, the faculty members of the Industrial Engineering Department Assoc. Prof. M. Fatih HOCAOĞLU and Asst. Prof. Murat Güngör and Asst. Prof. İbrahim GENÇ from the Department of Electrical and Electronics Engineering will take charge.
A library has been developed that will enable the agent-based modeling and operation of the systems to be developed for the first time and existing production systems based on EtSiS (Agent-based Simulation System) interactively with real systems. It is aimed that the production system simulation model library will be a tool that allows the analysis of systems by taking into account Industry 4.0 requirements. Offering advanced technology, virtual processes and high innovation, Industry 4.0 provides sustainable stability, permanent value, economic growth, and economic efficiency. The project, which received R&D investment within the scope of supporting production activities, entrepreneurship, creativity and innovation, aimed for product innovation and production process innovation and was developed with the aim of providing maximum efficiency and productivity at all stages from product design to service in order to ensure high living standards.
Agent-based modeling is discussed under two headings. The first is to develop a flexible and innovative engineering product by designing the assets in the system with the agent architecture, and the second is to allow the autonomous behavior of the assets in the modeled system instead of procedural operation, and to develop a simulation model library that can carry out dynamic planning in parallelized, interactive with real systems. In the modeling of intelligent decision capabilities, it was aimed to develop decisions based on defined criteria, algorithms and logical proposition structures. According to the criteria calculated in the simulation process, scenario designs will be managed dynamically and the scenario can be changed in a purpose-driven way to achieve the defined purpose of the simulated system.
We congratulate our faculty members and wish them continued success.