Simulation Platform for Multi Agent Based Manufacturing Control System Based on The Hybrid Agent
Ali Vatankhah barenji, Amir Shaygan, Reza Vatankhah Barenji

TL;DR
This paper introduces a user-friendly simulation platform for multi-agent manufacturing control systems, enabling independent development and testing of factory services at both software and hardware levels.
Contribution
It presents the design and implementation of a simulation environment specifically tailored for multi-agent manufacturing control systems, considering shop floor details.
Findings
Successfully simulates factory software and hardware interactions.
Demonstrated with a flexible manufacturing system in EMU CIM lab.
Facilitates testing and development of MAS-based manufacturing solutions.
Abstract
Agent based distributed manufacturing control and scheduling systems are subsets of new manufacturing systems. Multi agent systems (MAS) not only drive design and engineering control solutions but also influence flexibility, agility, and re-configurability, which makes MASs a better centralized systems than its traditional counterparts. However, implementation of all MASs in the real factories are timely, also extremely costly. A simulation environment that would allow independent development and testing of the services and business processes of the related manufacturing hardware is needed. This paper presents the design and implementation of a userfriendly simulation platform for multi agent based manufacturing control systems by considering the shop floor level. The proposed simulation platform can simulate the software level of the factory by considering the hardware level of the…
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Taxonomy
TopicsScheduling and Optimization Algorithms · Advanced Manufacturing and Logistics Optimization
