Improving enterprise resource planning results using knowledge extraction and learning

An Enterprise Resource Planning (ERP) system is a highly complex, large, multi-task application that is used to manage production in companies and factories. It monitors and tracks every aspect of all factory-based manufacturing processes. The integration of ERP and Business Process Management (BMP) systems facilitates information sharing between both systems. It represents one of the main challenges in the literature. Budgeting tasks represent one area in which ERP and BPM may be integrated. In this work several soft computing methods are applied to obtain a model which will help experts estimate performance. The results of the study show if the data gathered from the plant is informative enough, in order to integrate and shared it among the manufacturing and the business management software.