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Reducing maintenance costs using process and equipment event management.
| Content Provider | CiteSeerX |
|---|---|
| Author | Bascur, Osvaldo A. Kennedy, J. Patrick |
| Abstract | Mining and metallurgical plants use predictive maintenance policies based on statistical analysis and special techniques, like vibration analysis, and oil and lube analysis for critical equipment. Both process equipment and control strategies require maintenance from local personnel at the mine. Workers get insight from the overall process effectiveness control index based on key variables such as losses due to plant availability, performance efficiency and rate of quality. The availability of real time data and plant equipment and process history enhances the discovery of opportunities for optimization. The Word Wide Web leverages existing computers and networks with these data to provide highly profitable opportunities. This paper describes a plant integration paradigm that can be used to simplify the implementation and integration to ERP (Enterprise Resource Management) systems. Creating an environment where upgrade and change are allowed is becoming an accepted methodology to accelerate and simplify the integration of applications such as production monitoring, equipment performance management, yield and inventory management, and equipment downtime management. This paper introduces the application infrastructure and gives several examples of where it is used, including gross error detection, yield and inventory data unification, process and equipment event tracking, and asset downtime analysis. Three case studies in large metallurgical plants are presented. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Equipment Event Management Maintenance Cost Lube Analysis Accepted Methodology Equipment Downtime Management Equipment Performance Management Predictive Maintenance Policy Process Equipment Real Time Data Word Wide Web Profitable Opportunity Production Monitoring Plant Equipment Special Technique Critical Equipment Local Personnel Case Study Asset Downtime Analysis Process History Gross Error Detection Application Infrastructure Large Metallurgical Plant Enterprise Resource Management Several Example Plant Availability Key Variable Plant Integration Vibration Analysis Performance Efficiency Metallurgical Plant Overall Process Effectiveness Control Index Inventory Data Unification Equipment Event Tracking Control Strategy Inventory Management Statistical Analysis |
| Content Type | Text |
| Resource Type | Article |
