Advanced RCM industry case—modeling and advanced analytics (ELMAS) for improved availability and cost-efficiency

Abstract

Today there are several well-proven analysis methods available for reliability and maintenance management. Most of them are however developed for analyzing safety-critical applications. Within basic industry the focus is typically on cost management and traditional analysis methods are often presumed as too laborious. This seminar paper is based on an ELMAS reliability analysis performed for a production-critical molding crane in metals industry at SSAB Raahe factory in Finland. The main objective was to identify risks and optimize maintenance actions in a cost-effective manner. Another objective was to develop a systematic procedure for managing cost risks of production-critical process parts. The analysis combines the main benefits of fault tree analysis (FTA), failure mode and effect analysis (FMEA) and reliability centered maintenance (RCM) to form a systematic method for performing versatile analysis and corrective action planning.