Expert system, fuzzy logic, optimization, warehouse stock

Currently, a lot of companies have tried to optimize their systems of warehouse stock management to minimize the production costs. The goal is clear ? not to spend too much money for stock. There are various information systems that help us to optimize processes like resources adjustment, resources planning, purchasing, deliveries, sales etc. The paper presents an expert system which uses a knowledge-base based on managers? knowledge and experience and other influences affecting the prediction in order to predict and propose the optimum quantity of necessary resources. Individual steps and parts of the expert system are described in the paper. The presented expert system was also verified in a practical application.