Digital Library

Multi-agent system for intelligent scheduling

• Eugene Alooeff
• Dzmitry Adzinets

(2024). ECMS 2024, 38th Proceedings
Edited by: Daniel Grzonka, Natalia Rylko, Grazyna Suchacka, Vladimir Mityushev, European Council for Modelling and Simulation.
DOI: http://doi.org/10.7148/2024
ISSN: 2522-2422 (ONLINE)
ISSN: 2522-2414 (PRINT)
ISSN: 2522-2430 (CD-ROM)
ISBN: 978-3-937436-84-5
ISBN: 978-3-937436-83-8 (CD) Communications of the ECMS Volume 38, Issue 1, June 2024, Cracow, Poland June 4th – June 7th, 2024

https://doi.org/10.7148/2024-0507

Eugene alooeff, Dzmitry adzinets (2024). Multi-Agent System For Intelligent Scheduling, ECMS 2024, Proceedings Edited by: Daniel Grzonka, Natalia Rylko, Grazyna Suchacka, Vladimir Mityushev, European Council for Modelling and Simulation. doi:10.7148/2024-0507

This work is dedicated to the development of a multi-agent system for intelligent scheduling: to simulate, to analyze and to optimize used parameters to achieve the best performance in terms of increasing the speed of Technician agents (they provide a field service), reducing transport and time costs for their movement to Service Appointment agents (they are waiting for the Technician agent's active interaction) and Dispatcher agents (they analyze and distribute the relations between another agents.

Nowadays the most of the current scheduling models on the market are centralized. This paper exposes a way to use a multi agent-based approach to shift the scheduling system from centralized control to decentralized decisions made by agents. The implemented model allows us to check the model of dynamic scheduling with the real data under a real-time environment and it allows us to test interactions between the agents of three different types.