Overall equipment effectiveness (OEE) is one of the widely accepted performance evaluation methods most commonly employed for measuring the efficiency of a manufacturing process in a manufacturing industry. It plays a most prominent role in improving the efficiency of a manufacturing process which in turn ensures quality, consistency and productivity. The OEE parameters, availability, performance and quality are not single parameters. But these parameters in turn depend on several other parameters which introduce a cascaded effect in OEE computation. The variation in the value of lowest level parameters propagate to the higher levels making the OEE computation a complex process. To cater such situations, in this paper authors propose cascaded fuzzy inference system for measurement of Overall Equipment Effectiveness. In the simplified model proposed by the authors, only few prominent parameters up to two levels are considered. The model can be easily extended to incorporate more parameters and more levels to render it more realistic
