This work proposes a new simulation model for a centralized transport robot control system that was created with the AnyLogic environment and a special blend of agent-based and discrete-event approaches. The model attempts to do a comprehensive analysis of the centralized request distribution algorithm among robots, gauging the effectiveness of the transport system based on service arrival times. For in-depth testing, a transport robot model was developed using Arduino microcontrollers and NRF24L01 transceivers for communication. Item movement test sequences were created to be uniform in both full-scale and simulation testing. Good, though not perfect, agreement was found between the simulation and experimental results, underscoring the difficulty of obtaining high accuracy in real-time coordinate identification in the absence of sensors. This shortcoming notwithstanding, the novel simulation model provides an invaluable instrument for determining the viability and efficiency of transportation systems as well as analyzing decentralized control mechanisms prior to actual deployment. The novelty of this paper in that it builds a thorough simulation model for a centralized transport robot control system using an AnyLogic environment and a unique blend of discrete-event and agent-based approaches. This comprehensive technique is a novel contribution to the discipline since it enables a thorough evaluation of a centralized request distribution system.