A New Approach to Solve Data Defects in Material Flow Networks

Abstract

Eco-balances are the basis for assessing production impacts on environment and creation of environmental reports. Creation of an eco-balance is supported by the software tool Umberto®. In Umberto material and energy flows, required for the production of inventory analysis, will be designed by means of material flow networks. This tool allows modelling the material flow networks using Petri Nets. During the creation and evaluation of material flow networks there appear some defects, which inhibit or make it more difficult to establish realistic statements towards environmental impacts. Therefore, in the following paper the defects in material flow networks will be discussed in detail. The classification of defects is followed by the analysis of defect causes and possible solution attempts to their removal will be presented. We propose a new solution attempt using Petri Nets, Neural Networks and Case Based Reasoning in order to solve missing data process and incorrect data in material flow networks.