Application of multi-agent programming for modeling the viscosity state of mash in alcohol production

In alcohol production from starch-containing raw materials, it is essential to know the viscosity of the resulting solution. The main drawback of control systems in the solution preparation process is the lack of viscosity monitoring. This prevents the use of processing modes that would ensure efficient execution of the subsequent thermoenzymatic treatment of the solution. This work is dedicated to examining the qualitative impact of the timing of enzyme addition on the change in solution viscosity, aiming to improve the quality of the process control during its preparation. The study was conducted in the free multi-agent programming environment NetLogo, which is used for modeling complex systems evolving over time.