Automated generation of a simulation model for the decentralized control of automated warehouse systems

Automated warehouse systems play a key role in modern manufacturing systems, and are currently controlled using hierarchical and centralized control architectures, while they must provide breakdown robustness and scalability. These requirements suggests the use of decentralized control solutions, but the lack of efficient design methods makes the application of these solutions still a challenge. In this paper, an automated model generation algorithm is proposed to obtain a simulation model to implement decentralized optimization algorithms.