Adaptation of Material Flows in Mechanical Transportation Systems Based on Observation Experience

This paper investigates adaptation of material flows in mechanical transportation systems to the appearance of local overloads. The adaptation mechanism is based on the deflection of the forecast of experts who oversee the behavior of flows in the network. We propose a modified version of case-based reasoning, which uses the concept of imagination of situations. Unlike known methods, imaginative description of cases increases the reliability of decision-making. We provide a modification of the algorithm for dynamically building routing tables in distributed controllers of a transportation network. Analytic evaluation of the adaptation method´s effectiveness is provided. The paper is concluded with outline of the implementation mechanism using a network of distributed controllers.