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Analyzing Variability
Published in Erick C. Jones, Supply Chain Engineering and Logistics Handbook, 2020
FMEA is an indispensable tool in identification and prioritization of the x(s). The FMEA helps to identify potential failure modes at each step of the process that may affect the critical to quality. FMEA provides vital information to reliability engineer, design engineer, and other tools to analyze the subsystem and system and other things that cause potential failure mode. For each failure mode, the downstream effects and upstream causes are identified. Each failure mode may have multiple potential causes, and each failure mode may have multiple effects. This is an important qualification. Then, the probability of failure mode that will occur and the effect it will create on rest of the system is analyzed. The new technique is known as FMECA (failure modes, effects, and criticality analysis). Criticality can be analyzed by rating it for each process at each step. FMEA is generally used to identify all possible failure modes, effects, and causes associated with a product or process. In a Six Sigma project, the application is narrowed to only those elements related to the project y(s) (Quality Council of Indiana, Inc., 2007).
Code of Practices for Health Protection
Published in Valentina Lazarova, Akiça Bahri, Water Reuse for Irrigation, 2004
Valentina Lazarova, Akiça Bahri
The main engineering components of water reuse systems susceptible to failure are power supplies, mechanical equipment of treatment processes, distribution systems, etc. In the case of failure, backup systems are necessary to take over critical situations. During the last decade, a number of Failure Modes Effects and Criticality Analysis (FMECA) tools have been elaborated to identify the components of engineering systems most likely to cause failures. This approach is based on the evaluation of the major consequences of failures, including environmental pollution, exceedance of water quality limits, volume compliance, odors and flies, unsatisfactory sludge disposal, disinfection failures, health and safety, reputation and adverse public perception, financial impact (direct costs of repair, excess costs, loss of income), and contract failures. The resultant three-level scale (small, medium, large) relates to defined economic value. Failure modes are then prioritized as a function of their probability, severity, and detectability. Based on this prioritization and the associated technical-economic analysis of all potential failures of a given wastewater treatment plant, actions can be taken to prevent failure or to reduce the likelihood of failure. Finally, this analysis makes it possible to evaluate which investments would achieve a maximum decrease of risk at lower cost.
Reliability Engineering and Control
Published in Armand A. Lakner, Ronald T. Anderson, Reliability Engineering for Nuclear and Other High Technology Systems, 2017
A key task within a well structured reliability engineering program is failure mode analysis. In view of the complexity of nuclear equipment and components the proper application of failure mode analysis is necessary to assure attainment of operational reliability and plant safety objectives. It involves identifying potential modes of failure (both hardware and software) and determining the effect of each failure mode on system or equipment operation. Failure mode analysis provides a means to identify critical areas for corrective action (e.g. redesign, more reliable parts, etc.) during development prior to the build-up of hardware and the performance of costly equipment tests at a time when changes can be implemented easily.
Survey on reliability analysis of dynamic positioning systems
Published in Ships and Offshore Structures, 2023
Fang Wang, Liang Zhao, Yong Bai
Traditionally, the risk analysis, assurance, and management activities pertaining to Dynamic Positioning (DP) vessels in marine operations have been conducted in a qualitative manner. The predominant method employed for risk analysis of DP systems entails two key steps. Firstly, a Failure Mode and Effect Analysis (FMEA) is performed, coupled with a criticality ranking known as FMECA (Failure Mode, Effects, and Criticality Analysis). This process aims to provide substantiating evidence of the redundancy of the DP system. Secondly, verification tests, commonly referred to as sea trials, are conducted on a selected subset of subsystems that have been analysed in the FMEA (DNV-GL 2016; Rausand 2011). Additional methods commonly utilised for risk analysis in this domain include Hazard Identification (HAZID) and Hazard and Operability Analysis (HAZOP). Furthermore, Hardware-in-Loop (HIL) testing of DP control software has been employed (Johansen et al. 2005). Additionally, training and certification programmes for key personnel contribute to the effectiveness of risk mitigation activities. Collectively, these approaches are regarded as effective measures to minimise technical system failures and enhance the reliability of human and operational barriers against DP incidents.
Adaptive neuro-fuzzy inference system with analytic hierarchy process: an application for drawworks’ failure mode and effect analysis
Published in International Journal of Computer Integrated Manufacturing, 2023
Ezutah Udoncy Olugu, Kuan Yew Wong, Jonathan Young Chung Ee, Ang Chun Kit, Yslam D Mammedov
Corresponding to the scope of sustainable maintenance, this section provides the methodology to assess the influence of sustainable configurations of maintenance system failures on environmental, economic, and social perspectives of safety. A novel three-stage SF-AHP-ANFIS method for hybrid-FMEA is proposed as an assessment tool for sustainable maintenance processes. In the proposed approach, the extended severity factors, as well as conventional occurrence and detectability of failure, are employed to prioritize the failure modes based on the relative influence of each equipment. This helps to develop a comprehensive understanding of sustainable maintenance strategy management. The proposed FMEA framework designed to respond to the conventional drawbacks is depicted in Figure 1.
Fault-tolerant design and evaluation for a railway bogie active steering system
Published in Vehicle System Dynamics, 2022
Failure Mode and Effect Analysis is a systematic method for evaluating the potential failure modes of the system and their effects. It was firstly proposed for the design of aircrafts and now has been applied in many other industries to reduce the impacts of failure and to improve the reliability of the system. In FMEA, a core concept is to calculate Risk Priority Number (RPN, also called Criticality in [6]) which involves two essential factors: the Severity of the failure in terms of economic losses and injury to people, the Occurrence defined as the likelihood that the failure will take place and a third optional element: the Detectability defined as the ability to detect the failure modes by means of a monitoring system. As shown in Equation (9), the RPN is calculated as the multiplication of the Severity, Occurrence and Detection parameters.