Fault Forecast for Discrete Event Systems Using Probabilistic Automata

This paper proposes an effective way for forecast malfunction risk criterion for discrete event systems (DESs). This work is based on the probabilistic Automata (PA) model and risk decision-making technique, thanks to decision-making can be for the uncertainty. It provides logistical unite maintenance materials procurement to decision-making, reduces costs and creates supply chain greater profits.