Case Study: Rosatom achieves optimal cladding leak detection production planning with AnyLogic

Modeling the Cladding Leak Detection Shop of a Nuclear Reactor's Module

Rosatom, a state nuclear holding company, needed to design a fuel cladding leak detection shop and determine the right system parameters for handling ruptured fuel elements. The challenge was to understand how annual production, input storage size, and fuel element group size would affect throughput and downtime, while accounting for the stochastic nature of leakage. AnyLogic was used to build a simulation model of the process.

AnyLogic implemented a model that tested two leak-detection operating algorithms and allowed Rosatom to vary key parameters such as leakage frequency, furnace load size, and input storage volume. By running about 100 simulation years for each parameter combination, AnyLogic helped identify the optimal group size for maximum production, quantify how larger input storage could reduce downtime losses, and establish the relationship between storage capacity and furnace load. The resulting model gave Rosatom measurable production statistics and a decision-support tool for evaluating future line changes.

Rosatom