“…The mathematical and subsequent simulation models are based on the system being simulated. Examples of good practice and theoretical bases for creating descriptive, mathematical and simulation models of production, logistics, business or generally socio-economic or other systems include, for example, Petri-based approaches [4], [5], [6], the multi-agent approach [7], [8], [9], [10], the hybrid approach [11], [12], the distributed approach [13], stochastic methods [14], [15], the heuristic approach [16], [17], [18], [19], neural networks [20], [21], [22] and others. Each of these approaches has different advantages, disadvantages and limitations for a particular situation.…”