A study of the quantitative methods that support RCM operation

Abstract

Key-Words: electronics industry, metallurgical industry, quantitative methods, reliability centered maintenance SUMMARY & CO CLUSIO SThis paper investigates each of the quantitative methods that support Reliability Centered Maintenance (RCM) operation. The integration of quantitative methods with RCM activities is an innovative approach since previous RCM methodologies only utilized qualitative methods. A thorough literature review identified ten essential activities that are necessary for the application of RCM along with the respective quantitative methods that support these activities. Furthermore, in-person interviews were conducted at Brazilian manufacturing firms to confirm the actual application of the methods from the literature. These interviews also helped us identify additional methods that these companies use in their manufacturing practices. As a result, a table associating essential RCM activities with their quantitative method counterpart was created, along with a brief description of what each respective quantitative method contributes specifically. Among the quantitative methods evaluated, probability theory was identified as the one that was most commonly associated with RCM activities. The methods of Economic engineering and Monte Carlo simulation were also identified as key contributors since they allowed for more sophisticated analysis related to the cost and performance of production systems subject to maintenance.The use of probability distributions in modeling is important in many RCM activities. Not only should the average values be used, but it is necessary to understand the effects of times to failure and times to repair on time. The Economic engineering methods allowed the analysis of the life cycle costs of machines and equipment. Monte Carlo simulation is capable of analyzing real systems which are essentially stochastic. A more complete view of the equipment and their critical components is provided through the use of blocks diagram and system reliability analysis techniques. The methods of production planning and controlling, such as Manufacturing Resource Planning II (MRPII), support the optimal planning of maintenance activities. The stochastic and deterministic models of stocks management optimize storage costs in relation to the cost of lacking spare parts. Indicators specific to maintenance, such as Overall Equipment Effectiveness (OEE) and Total Effective Equipment Performance (TEEP), allow the monitoring of essential variables in the production lines and the calculation of global efficiency. Costing systems such as ABC quantify the productive system costs, which include the maintenance activities.These methods can have an expressive contribution to the RCM operation. The quantitative methods listed improve both the planning and activities control while also reducing costs.

Study on Preventive Maintenance Strategies of Filling Equipment Based on Reliability-Cantered Maintenance

“…The RCM applies available safety and reliability data to determine which subsystems and parts are in critical condition, which need to be repaired, improved and redesigned, and to determine the necessity and feasibility of maintenance, so as to evaluate the requirement of maintenance and to finally make practical and reasonable maintenance plan. The biggest difference between RCM and other maintenance ideas is based on determining maintenance mode of equipment by taking reliability and fault effect as safety, environmental failure and hidden failure, and by using economy and utilization rate as usability and non-usability consequence [16].…”

An analysis of the times of stoppages of equipments in a food industry: a case study

“…Monitoring indicators are essential to measure and to verify the actual performance of the maintenance system. These indicators of reliability usually presented in the literature are: mean time to failure (MTTF) or mean time between failures (MTBF), mean time to repair (MTTR), and availability (A) (MENDES; RIBEIRO, 2015;ZADHOOSH;FATAHI, 2015). The MTTR, in this study denoted as stoppage times, includes required time for repairing failures troubleshooting, resolution downtime, repairs, and any tests that we need to ensure the elimination of the problem (TSAROUHAS; ARVANITOYANNIS; AMPATZIS, 2009).…”