Overall Measurement Of Process Equipment Effectiveness For Performance Monitoring and Decisions Assess

Overall Equipment Effectiveness provides a consistent method to measure productivity and to perform diagnosis at the equipment level. OEE metric is based on the idea of comparing Valuable Production Time with Up Time. It distils complex data, including downtime and waste in individual machines/equipments and other unplanned losses which reduce throughput, in a simple understandable metric. However, according to experience and literature review, its excessive synoptic view manifests lack at the factory level and timing of monitoring and planning in plants. This research is going to explore the use of OEE, not only as an operational measure of equipment effectiveness, but also as an indicator of which activities have to get better in process decision making issues. Hidden capacity identification, bottleneck detection, buffer consistency and location, planned improvements within a manufacturing environment can be diagnosed according with a measure of Overall Process Equipment Effectiveness (i.e., OPEE). As reminder of this paper the theoretical concept of OEE metric is considered first and constituent parts of OEE are examined. An exhaustive literature review and a critical analysis of OEE measurement, in production systems, are drawn up. Afterwards, the new OPEE approach is proposed. The coming up of such a metric was logical achieved and finally demonstrated implementing a virtual set of predefined subsystems including series, parallel, assembly and expansions. The new metric achieves and manifests a performance monitoring perspective in identifying bottlenecks as well as putting forward to deciding. Such a vision is suggested as a standard in simulation frame.