scholarly journals A DMAIC Integrated Fuzzy FMEA Model: A Case Study in the Automotive Industry

2021 ◽  
Vol 11 (8) ◽  
pp. 3726
Author(s):  
Radu Godina ◽  
Beatriz Gomes Rolis Silva ◽  
Pedro Espadinha-Cruz
Keyword(s):  
Automotive Industry ◽  
Visual Inspection ◽  
Failure Modes ◽  
Expert Knowledge ◽  
Linguistic Terms ◽  
Fuzzy Fmea ◽  
Inspection Process ◽  
Potential Failure ◽  
And Control

The growing competitiveness in the automotive industry and the strict standards to which it is subject, require high quality standards. For this, quality tools such as the failure mode and effects analysis (FMEA) are applied to quantify the risk of potential failure modes. However, for qualitative defects with subjectivity and associated uncertainty, and the lack of specialized technicians, it revealed the inefficiency of the visual inspection process, as well as the limitations of the FMEA that is applied to it. The fuzzy set theory allows dealing with the uncertainty and subjectivity of linguistic terms and, together with the expert systems, allows modeling of the knowledge involved in tasks that require human expertise. In response to the limitations of FMEA, a fuzzy FMEA system was proposed. Integrated in the design, measure, analyze, improve and control (DMAIC) cycle, the proposed system allows the representation of expert knowledge and improves the analysis of subjective failures, hardly detected by visual inspection, compared to FMEA. The fuzzy FMEA system was tested in a real case study at an industrial manufacturing unit. The identified potential failure modes were analyzed and a fuzzy risk priority number (RPN) resulted, which was compared with the classic RPN. The main results revealed several differences between both. The main differences between fuzzy FMEA and classical FMEA come from the non-linear relationship between the variables and in the attribution of an RPN classification that assigns linguistic terms to the results, thus allowing a strengthening of the decision-making regarding the mitigation actions of the most “important” failure modes.

Applying Advanced FMEA Methods to Vehicle Fire Cause Determinations

2011 ◽  
Author(s):  
Kerry D. Parrott ◽  
Pat J. Mattes ◽  
Douglas R. Stahl
Keyword(s):  
Automotive Industry ◽  
Failure Modes ◽  
Illustrative Case ◽  
Analysis Tool ◽  
Fire Investigation ◽  
Root Cause ◽  
Product And Process ◽  
Illustrative Case Study ◽  
Fire Cause

This paper proposes that the advanced Failure Modes and Effects Analysis (FMEA) techniques and methodology currently used by the automotive industry for product and process design can be reversed and used as an effective failure/root cause analysis tool. This paper will review FMEA methodologies, explain the newest advanced FMEA methodologies that are now being used in the automotive industry, and will then explain how this methodology can be effectively reversed and used as a failure analysis and fire cause determination tool referred to as a “reverse FMEA” (rFMEA). This paper will address the application of these techniques and methodology to vehicle fire cause determination. This methodology is particularly suited to situations where multiple potential fire causes are contained within an established area of origin. NFPA 921 Guide for Fire & Explosion Investigations [1] and NFPA 1033 Standard for Professional Qualifications for Fire Investigator [2], often referenced by the fire investigation community, prescribe following a systematic approach utilizing the scientific method for fire origin and cause determinations. The rFMEA methodology is proposed as a fire investigation tool that assists in that process. This “reverse FMEA” methodology will then be applied to a hypothetical, illustrative case study to demonstrate its application.

scholarly journals Using 5W-1H and 4M Methods to Analyse and Solve the Problem with the Visual Inspection Process - case study

2018 ◽  
Vol 183 ◽  
pp. 03006 ◽  
Author(s):  
Krzysztof Knop ◽  
Krzysztof Mielczarek
Keyword(s):  
Quality Control ◽  
Research Methodology ◽  
Visual Inspection ◽  
Problem Analysis ◽  
Effective Solution ◽  
Pragmatic Approach ◽  
Electric Device ◽  
Inspection Process

The article presents a case study on the use of specially prepared 5W-1H and 4M sheets for the analysis of the problem during the visual inspection process of the electric device, in order to solve it. The identified problem was related to inconsistent assessments during the visual (alternative) inspection of chamber gaps of the electric switch. The research methodology was presented the same as results confirming the effectiveness of the problem analysis in the area of quality control by using these two methods of Lean and WCM concepts. The article aimed to show that a skilful and pragmatic approach to the problem supported by appropriate tools can contribute to its effective solution.

scholarly journals A fuzzy FMEA assessment of hydroelectric earth dam failure modes: A case study in Central Brazil

2021 ◽  
Vol 7 ◽  
pp. 4412-4424
Author(s):  
José Roberto Ribas ◽  
Juliana Crenitte Ribas Severo ◽  
Luciana Fernandes Guimarães ◽  
Kim Parente Currlin Perpetuo
Keyword(s):  
Failure Modes ◽  
Earth Dam ◽  
Dam Failure ◽  
Central Brazil ◽  
Fuzzy Fmea

scholarly journals Failure Mode and Effect Analysis (FMEA) for confectionery manufacturing in developing countries: Turkish delight production as a case study

2012 ◽  
Vol 32 (3) ◽  
pp. 505-514 ◽  
Author(s):  
Sibel Ozilgen
Keyword(s):  
Failure Mode ◽  
Failure Modes ◽  
Chemical Contamination ◽  
Risk Priority Number ◽  
Analysis Model ◽  
Production Potential ◽  
Effect Analysis ◽  
Potential Failure

The Failure Mode and Effect Analysis (FMEA) was applied for risk assessment of confectionary manufacturing, in whichthe traditional methods and equipment were intensively used in the production. Potential failure modes and effects as well as their possible causes were identified in the process flow. Processing stages that involve intensive handling of food by workers had the highest risk priority numbers (RPN = 216 and 189), followed by chemical contamination risks in different stages of the process. The application of corrective actions substantially reduced the RPN (risk priority number) values. Therefore, the implementation of FMEA (The Failure Mode and Effect Analysis) model in confectionary manufacturing improved the safety and quality of the final products.

Electrified Aircraft Propulsion Systems: Gas Turbine Control Considerations for the Mitigation of Potential Failure Modes and Hazards

2020 ◽  
Author(s):  
Donald L. Simon ◽  
Joseph W. Connolly
Keyword(s):  
Gas Turbine ◽  
Distribution Systems ◽  
Failure Modes ◽  
Control Strategies ◽  
Energy Storage Devices ◽  
Storage Devices ◽  
Potential Failure ◽  
High Level ◽  
And Control ◽  
Aircraft Propulsion

Abstract This paper provides a high-level review of the potential failure modes and hazards to which electrified aircraft propulsion (EAP) systems are susceptible, along with potential gas turbine control-based strategies to assist in the mitigation of those failures. To introduce the types of failures that an EAP system may experience, a generic EAP system is considered, consisting of gas turbine engines, mechanical drives, electric machines, power electronics and distribution systems, energy storage devices, and motor driven propulsors. The functionality provided by each of these EAP subsystems is discussed, along with their potential failure modes, and possible strategies for mitigating those failures. To further illustrate the role of gas turbine controls in mitigating EAP failure modes, an example based on a simulated EAP concept aircraft proposed by NASA is given. The effects of failures are discussed, along with turbomachinery control strategies, including reversionary control modes, and control limit logic.

scholarly journals Failure Mode and Effect Analysis in Automotive Industry: A Case Study

2019 ◽  
Vol 19 (2) ◽  
pp. 10-15
Author(s):  
L. Petrescu ◽  
E. Cazacu ◽  
Maria-Cătălina Petrescu
Keyword(s):  
Failure Mode ◽  
Automotive Industry ◽  
Failure Modes ◽  
Action Plan ◽  
Electronic Devices ◽  
Area Network ◽  
Risk Priority Number ◽  
Effect Analysis ◽  
Iso 26262

AbstractNowadays, Failure Mode and Effect Analysis (FMEA) is more present in any standard evaluation of a product or process. In automotive industry, the IEC 61508 Standard adapted the ISO 26262 restrictions for Electrical and Electronic Devices. Conducting an FMEA reduces the costs by focusing on preventing failures, improving safety and increasing customer satisfaction. This paper presents a case study of a FMEA on a CAN (Controller Area Network) Bus Harness considering the entire process from defining the scope and building the team, to the action plan that will reduce the Risk Priority Number below the acceptable risk value. Also, the brainstorming that identifies the possible failure modes is presented.

A Qualitative Failure Analysis Using Function-Based Performance State-Machines for Fault Identification and Propagation During Early Design Phases

2014 ◽  
Author(s):  
Charlie B. DeStefano ◽  
David C. Jensen
Keyword(s):  
Failure Analysis ◽  
Failure Modes ◽  
Fault Identification ◽  
Manufacturing Processes ◽  
Analysis Method ◽  
Well Performance ◽  
Early Design ◽  
Analysis Methods ◽  
Potential Failure

In a time when major technological advancements are happening at incredible rates and where demands for next-generation systems are constantly growing, advancements in failure analysis methods must constantly be developed, as well. Performance and safety are always top concerns for high-risk complex systems, and therefore, it is important for new failure analysis methods to be explored in order to obtain more useful and comprehensive failure information as early as possible, particularly during early design phases when detailed models might not yet exist. Therefore, this paper proposes a qualitative, function-based failure analysis method for early design phases that is capable of not only analyzing potential failure modes for physical components, but also for any manufacturing processes that might cause failures, as well. In this paper, the proposed method is first described in general and then applied in a case study of a proposed design for a nanochannel DNA sequencing device. Lastly, this paper discusses how more advanced and detailed analyses can be incorporated into this approach during later design phases, when more failure information becomes available.

scholarly journals Operational risk analysis with Fuzzy FMEA (Failure Mode and Effect Analysis) approach (Case study: Optimus Creative Bandung)

2018 ◽  
Vol 154 ◽  
pp. 01084 ◽  
Author(s):  
Taufiq Immawan ◽  
Wahyudhi Sutrisno ◽  
Annisa Kamilia Rachman
Keyword(s):  
Failure Mode ◽  
Industrial Development ◽  
Effect Analysis ◽  
Qualitative Risk Assessment ◽  
Fuzzy Fmea ◽  
Potential Failure ◽  
Photo Editing ◽  
Fmea Method ◽  
A Company

Industrial development in Indonesia, manufacturing and services, are required to be able to manage the company very well. However, in practice, the company’s activities are always faced with risks. In general, the risk can be defined as a situation faced by a person or a company in which there is a possibility that harm. The level of risk faced losses due to highly variable depending on the cause and effect influence. To be able to manage (risk management), it can use FMEA (Failure Mode and Effect Analysis). FMEA is a method of analyzing potential failure are applied in product development, system engineering and operational management and is one of a qualitative risk assessment. Using FMEA can also note the value of the RPN (Risk Priority Number) to determine improvement priorities at risk. But there are weaknesses in the use of FMEA, namely RPN calculation is only done by multiplying the severity, occurence and detection alone and irrespective of the degree of importance of each input, to the FMEA method is integrated using fuzzy logic. Fuzzy FMEA is aimed at obtaining the highest fuzzyRPN value which will be used as the focus of improvements to minimize the possibility of these risks occur back. The results were obtained 7 out of 18 types of risks that have a high priority for repairs. Risk troublesome computer (hank / die) while doing photo editing scored the highest RPN 540 (scale 1-1000) and also the highest FRPN 9 (scale 1-10). There is a difference in value between RPN and FRPN. FRPN value obtained from the fuzzification, generate value by taking into account the degree of interest of any given input.

scholarly journals A Case Study on Recall of used Scopes in the Endoscopy Department by using a Failure Mode & Effect Analysis (FMEA) Proactive Risk Management

2020 ◽  
pp. 13-24
Author(s):  
Zuber Mujeeb Shaikh
Keyword(s):  
Risk Management ◽  
Failure Mode ◽  
Failure Modes ◽  
Risk Priority Number ◽  
Effect Analysis ◽  
Mode Effect ◽  
Potential Failure ◽  
Failure Mode Effect Analysis

Failure Mode and Effects Analysis (FMEA) is the process of reviewing as many components, assemblies, and subsystems as possible to identify potential failure modes in a system and their causes and effects. The study revealed that the Risk Priority Number (RPN) was initially 450 and it has decreased to 90 after implementing all the actions in FMEA.

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