ABSTRACT
Reliability engineering is a growing market demand, becoming an imperative element for decision makers to better quantify systems and equipment criticality considering operational, safety and economic issues. For any reliability study, a quality assurance plan is needed (Andrews & Moss, 2002). Failure and Repair data collection, as part of it, is described in initiatives as per Smith (2005) and ISO 14224 (2006). Although references present clear measures for collecting data, this process is not established considering challenging scenarios faced in reliability assessments, such as (a) lack of failure and repair registers on companies, (b) poor data records or (c) organized but incomplete data. Based on these challenges, this paper presents a practical Decision Diagram approach for dealing with in-house data, aiming to guide reliability engineers towards the selection of adequate failure and repair data for RAM assessments, allowing representativeness checks, standardization and validation mainly for the Oil and Gas industries.
