ESTABLISHING CRITERIA FOR DESIGNING PRODUCTION SYSTEMS USING SELF- ORGANIZING NEURAL NETWORKS

Abstract

Production systems required much information to be properly design. Artificial neural networks seems to be perfect solution for analysis of such amount of data. However to gain useful output from artificial networks data have to be correctly prepared. This article shows a thinking-process of obtaining correct criteria for each step of systems designing process. Research goes through basics of knowledge management in production companies that gives further ideas for criteria prioritizing. Different criteria was dedicated to different management approach based of production unit complexity.