RISK PROBABILITY NUMBER RPN SOFTWARE

Software has been designed to automate and facilitate the FMEA/FMECA This article presents a brief general overview of FMEA andįMECA analysis techniques and applications. Those failure modes and to identify and carry out measures to To identify potential failure modes for a product or processīefore the problems occur, to assess the risk associated with Manag.Failure Modes and Effects Analysis (FMEA) and Failure Modes,Įffects and Criticality Analysis (FMECA) are methodologies designed Deuse, A strategic standpoint on maintenance taxonomy. Alexander, Failure investigation of an aircraft crankshaft gear connection. Cook, Plant maintenance strategy: evidence from four British manufacturing firms. Fraser, Maintenance management models-a study of the published literature to identify empirical evidence. Turnquist, Failure analysis of a glass filled phenolic resin power steering pump pulley. Sanders, Failure analysis of hydraulic fitting brazed connections. (Pearson Education Publication, Delhi, 2003) Afety, Reliability centered maintenance methodology and application: a case study. Kolios, An integrated FTA-FMEA model for risk analysis of engineering systems: a case study of subsea blowout preventers. Rath, Tools for developing a quality management program: proactive tools (Process Mapping, Value Stream Mapping, Fault tree analysis and Failure mode and effect analysis). Zhou, Remaining useful life estimation-a review on the statistical data driven approaches. Abbasi, Techniques and methodologies for risk analysis in chemical process industries. Chen, Cloud based smart asset management for urban flood control. Saleem et al., Overall equipment effectiveness of tyre curing: a case study. Kamaruzzaman, Measuring the performance of office buildings maintenance management in Malaysia. Yeh et al., Preventive maintenance model with FMEA and Monte Carlo simulation for the key equipment in semiconductor foundries. Probert, Integrating reliability, availability, maintainability and supportability with risk analysis for improved operation of the Afam thermal power-station. Sprague, Overload fracture of cast aluminum wheel. Almanar, Maintenance management decision model for preventive maintenance strategy on production equipment, J. Winslett, Vibration analysis for IoT enabled predictive maintenance, in 2017 IEEE 33rd International Conference on Data Engineering (2017) Chen, A developed autonomous preventive maintenance program using RCA and FMEA.

This approach is useful for the maintenance personnel to plan the maintenance activities and reduce the probability of failures, thereby reducing the machine breakdown.Ĭ.-C. This high RPN of component or subassembly is reduced with the appropriate maintenance action by determining reliability of each subassembly or component. Further, this identified critical equipment is analyzed in detail to determine the highest risk priority number (RPN) of subassembly or component. With these factors and corresponding weights, a critical equipment of shop floor is identified. In this research, the impact of machine breakdown on production, safety, availability of standby, and equipment or asset value is considered with weights of 30, 30, 25, and 15%, respectively. In this paper, an attempt is made to develop a method to determine critical equipment with the help of failure mode and effect analysis (FMEA) and occurrence of failure. Competitive environment in manufacturing sector cannot afford frequent breakdown of aged critical equipment.

Risk probability number rpn