FMEA is a structured approach to recognize and evaluate potential failures and their effects. It identifies actions to eliminate or reduce failures and documents the process. FMEA involves assessing the severity, occurrence, and detection of potential failures to determine a risk priority number. Higher risk failures are prioritized for corrective actions like design changes or verifications. FMEA is conducted by a team and is an ongoing process throughout the product lifecycle to prevent known and potential problems.
This document provides guidance on conducting a Design Failure Mode and Effects Analysis (DFMEA). It begins with defining the purpose of a FMEA and what it involves. It then discusses current DFMEA practices and concerns. The remainder of the document offers detailed instructions on performing a DFMEA, including how to construct a process flow diagram, interface matrix, evaluate potential failure modes and their effects/severity, occurrence, detection, and risk priority numbers. It provides examples and criteria for properly analyzing risk and prioritizing corrective actions. The overall summary is that the document aims to refine the approach to DFMEAs by outlining the full process and key considerations for effectively conducting a thorough design risk assessment.
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Failure Modes and Effects Analysis (FMEA) is a systematic tool used to identify potential failures, their causes, and effects. It helps prioritize issues based on a Risk Priority Number calculated from severity, occurrence, and detection ratings. FMEA was first used in the aerospace industry and has since been applied to automotive and other sectors. The analysis involves identifying failure modes, causes, and effects, then taking actions to reduce risks.
CADmantra Technologies Pvt. Ltd. is one of the best Cad training company in northern zone in India . which are provided many types of courses in cad field i.e AUTOCAD,SOLIDWORK,CATIA,CRE-O,Uniraphics-NX, CNC, REVIT, STAAD.Pro. And many courses
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This document provides an overview of failure mode and effects analysis (FMEA). FMEA is a systematic process for identifying potential failures in a design, manufacturing or production process. It involves reviewing all possible failures, their causes and effects. Potential failures are then ranked according to severity, occurrence, and detection. This allows teams to prioritize high risk failures and identify actions to address them. The document outlines the basic FMEA process including defining potential failures and their effects, identifying causes, current controls and assigning ratings. It also describes how to calculate a risk priority number and use FMEAs to drive process improvement.
This document provides an overview of failure mode and effects analysis (FMEA). FMEA is a systematic process for identifying potential failures in a design, manufacturing or production process. It involves reviewing all possible failures, their causes and effects. Potential failures are ranked according to severity, occurrence, and the ability to detect the failure. This ranking is used to identify areas that need improvement and prevent potential problems. The document discusses the different types of FMEAs (e.g. design, process), how to conduct one including using a worksheet to document the analysis, and how FMEAs can benefit processes by reducing risks and costs.
The document provides tables for rating the severity, occurrence, and detection of potential failures in Failure Mode and Effects Analysis (FMEA). The severity table ranks effects from hazardous without warning to none. The occurrence table ranks likelihood of failures from very high (>100/1000 items) to remote (<0.01/1000 items). The detection table ranks likelihood of detection from absolute uncertainty to error-proofed design. The tables provide guidance for numerically scoring these factors in FMEA.
The document provides an overview of failure mode and effects analysis (FMEA). It defines FMEA as a systematic technique used to evaluate potential failures and their causes. The objective is to classify possible failures by their severity, occurrence, and detection to find solutions that eliminate or minimize risks. The document outlines the FMEA process, which involves determining the process/component, identifying potential failure modes and effects, rating severity, occurrence, and detection, calculating the risk priority number, and planning corrective actions. FMEA is a proactive method used in design, manufacturing, and other stages to prevent defects and improve quality.
This document provides an overview of failure mode and effects analysis (FMEA). It defines FMEA as a method to identify potential failure modes, causes, and effects. The document outlines the history of FMEA, from its origins in 1955 to its widespread use today. It also describes the different types of FMEA (system, design, process) and when each is applied. Key aspects of performing a process FMEA like potential causes, controls, severity, occurrence, detection, and risk priority number are defined.
The document outlines the purpose and methodology for conducting a Design Failure Mode Effects Analysis (DFMEA). The goals of a DFMEA are to define the design process, identify and reduce design risks, provide traceability, and enable continuous improvement. It is a team activity that identifies potential failure modes, their causes and effects. Through assigning severity, occurrence, and detection ratings, the DFMEA calculates risk priority numbers to guide focus on high risk design issues. It produces outputs to reduce risk and meet customer requirements.
The document provides an overview of Failure Mode and Effects Analysis (FMEA) as a tool to identify, analyze, and prevent potential product and process failures. It discusses the history and definitions of FMEA, the different types of FMEAs (system, design, process), how to conduct an FMEA including forming a team, terminology, scoring, and developing action plans to address high risks.
FMEA is a systematic method to identify potential failures, quantify risks, and determine actions to address issues. It involves analyzing potential failure modes and their causes and effects. Failures are evaluated based on severity, occurrence likelihood, and detection difficulty to calculate a risk priority number. Actions are identified and prioritized based on RPN to prevent or mitigate risks. FMEA is used across industries to improve safety, quality and reliability.
Failure Mode and Effects Analysis WithAdrian FMEA 2013 Adrian BealeAdrian Beale
油
The document discusses Failure Mode and Effects Analysis (FMEA). It defines FMEA as a reliability method used to evaluate systems, designs, and processes to identify potential failures. The document outlines the general FMEA process which involves selecting a team, brainstorming failure modes and their causes/effects, assigning ratings, calculating risk priority numbers, and defining actions to address high risks. It provides guidance on team composition and dynamics, as well as tips for effectively conducting and documenting an FMEA.
Failure Mode and Effects Analysis (FMEA) is a structured way to identify and address potential problems, or failures and their resulting effects on the system or process before an adverse event occurs.
FMEA is a failure mode and effects analysis that helps engineers anticipate failures and prevent them. It involves identifying potential failure modes, their causes and effects. It calculates a risk priority number based on the severity, occurrence, and detection of each failure. This helps prioritize actions to address high risk failures through improved design or detection controls. The goal is to understand the design well enough to anticipate and prevent failures.
The document discusses Failure Mode and Effects Analysis (FMEA), including how to conduct an FMEA, key terms used in FMEAs, and tips for completing an FMEA. An FMEA is used to identify potential failures, their causes and effects. Participants are rated the potential severity, occurrence, and detection of failures to calculate a Risk Priority Number that helps prioritize issues. The document provides guidance on setting up an FMEA team and process.
Failure mode and effects analysis (FMEA) is a method to identify potential failures, determine their causes and effects, prioritize risks, and identify actions to address high-priority risks. An FMEA involves assembling a cross-functional team to analyze a process, product or service by identifying functions, potential failure modes and effects, causes, controls, severity, occurrence, detection ratings and risk priority numbers to prioritize improvement actions. FMEAs are used throughout a product or service lifecycle to prevent and reduce failures and risks.
The document provides information on failure mode and effects analysis (FMEA). It discusses the three main steps of FMEA: severity, occurrence, and detection. The risk priority number is calculated by multiplying ratings from each step. This identifies failure modes requiring corrective action. FMEA is used across industries to improve quality, reliability, and safety by anticipating potential failures during the design process.
The document discusses problems with the current failure mode and effects analysis (FMEA) process at a company called RPL. It notes that before 2010 there was no formal FMEA conducted during new model introductions, leading to inconsistent quality. In 2012 an FMEA template was introduced based on a 5-scale system, but this was found to have issues with accurately capturing severity, occurrence, and detection ratings. Compared to industry standards, the company's FMEA process differs in using a 5-scale instead of a more common 1-10 scale and in not requiring a cross-functional team approach. The document investigates these facts to develop an improved FMEA template and methodology to meet the company's robust manufacturing
FMEA is a systematic method for evaluating potential failures in a design, manufacturing or assembly process. It involves analyzing possible failures, identifying their causes and effects, and prioritizing issues based on severity, occurrence, and detection. The process results in a risk priority number to determine which failures should be addressed first. FMEA is widely used in industries like automotive, aerospace, healthcare to prevent failures and improve quality and safety.
The document discusses Failure Mode, Effects and Criticality Analysis (FMECA) which is a step-by-step approach to identify all possible failures in a design. It defines key terms like failure modes, effects and criticality. The document outlines the phases, purpose, benefits and techniques of FMECA including hardware and functional approaches. It provides examples of applying FMECA to analyze components and recommends corrective actions to address high risks.
The document provides an overview of failure mode and effects analysis (FMEA). It describes FMEA as a systematic process used to identify potential failures, their causes and effects. The document outlines the 10 steps of an FMEA including reviewing the process, identifying potential failures and their effects, assigning ratings, calculating risk priority numbers, and taking actions. It also provides examples of scales used to rate the severity, occurrence, and detection of potential failures. The goal of FMEA is to prioritize failures and eliminate or reduce the highest risks.
FMEA failure-mode-and-effect-analysis_Occupational safety and healthJing Jing Cheng
油
Failure mode and effect analysis (FMEA) is one of the methods of hazard analysis. Through FMEA, failures in a system that may lead to undesirable situation can be identified
To identify which failures in a system can lead to undesirable situation.
Reliability Centered Maintenance (RCM) is a process that determines the best policies for managing asset functions and failures. It considers all asset management options like condition monitoring, scheduled restoration, and scheduled discard. RCM provides the optimal mix of reactive, time-based, condition-based, and proactive maintenance practices. When applied to commercial airlines in the 1970s, RCM reduced equipment-related crashes from 40 to 0.3 per million take-offs.
This document provides an overview of failure mode and effects analysis (FMEA). It defines FMEA as a method to identify potential failure modes, causes, and effects. The document outlines the history of FMEA, from its origins in 1955 to its widespread use today. It also describes the different types of FMEA (system, design, process) and when each is applied. Key aspects of performing a process FMEA like potential causes, controls, severity, occurrence, detection, and risk priority number are defined.
The document outlines the purpose and methodology for conducting a Design Failure Mode Effects Analysis (DFMEA). The goals of a DFMEA are to define the design process, identify and reduce design risks, provide traceability, and enable continuous improvement. It is a team activity that identifies potential failure modes, their causes and effects. Through assigning severity, occurrence, and detection ratings, the DFMEA calculates risk priority numbers to guide focus on high risk design issues. It produces outputs to reduce risk and meet customer requirements.
The document provides an overview of Failure Mode and Effects Analysis (FMEA) as a tool to identify, analyze, and prevent potential product and process failures. It discusses the history and definitions of FMEA, the different types of FMEAs (system, design, process), how to conduct an FMEA including forming a team, terminology, scoring, and developing action plans to address high risks.
FMEA is a systematic method to identify potential failures, quantify risks, and determine actions to address issues. It involves analyzing potential failure modes and their causes and effects. Failures are evaluated based on severity, occurrence likelihood, and detection difficulty to calculate a risk priority number. Actions are identified and prioritized based on RPN to prevent or mitigate risks. FMEA is used across industries to improve safety, quality and reliability.
Failure Mode and Effects Analysis WithAdrian FMEA 2013 Adrian BealeAdrian Beale
油
The document discusses Failure Mode and Effects Analysis (FMEA). It defines FMEA as a reliability method used to evaluate systems, designs, and processes to identify potential failures. The document outlines the general FMEA process which involves selecting a team, brainstorming failure modes and their causes/effects, assigning ratings, calculating risk priority numbers, and defining actions to address high risks. It provides guidance on team composition and dynamics, as well as tips for effectively conducting and documenting an FMEA.
Failure Mode and Effects Analysis (FMEA) is a structured way to identify and address potential problems, or failures and their resulting effects on the system or process before an adverse event occurs.
FMEA is a failure mode and effects analysis that helps engineers anticipate failures and prevent them. It involves identifying potential failure modes, their causes and effects. It calculates a risk priority number based on the severity, occurrence, and detection of each failure. This helps prioritize actions to address high risk failures through improved design or detection controls. The goal is to understand the design well enough to anticipate and prevent failures.
The document discusses Failure Mode and Effects Analysis (FMEA), including how to conduct an FMEA, key terms used in FMEAs, and tips for completing an FMEA. An FMEA is used to identify potential failures, their causes and effects. Participants are rated the potential severity, occurrence, and detection of failures to calculate a Risk Priority Number that helps prioritize issues. The document provides guidance on setting up an FMEA team and process.
Failure mode and effects analysis (FMEA) is a method to identify potential failures, determine their causes and effects, prioritize risks, and identify actions to address high-priority risks. An FMEA involves assembling a cross-functional team to analyze a process, product or service by identifying functions, potential failure modes and effects, causes, controls, severity, occurrence, detection ratings and risk priority numbers to prioritize improvement actions. FMEAs are used throughout a product or service lifecycle to prevent and reduce failures and risks.
The document provides information on failure mode and effects analysis (FMEA). It discusses the three main steps of FMEA: severity, occurrence, and detection. The risk priority number is calculated by multiplying ratings from each step. This identifies failure modes requiring corrective action. FMEA is used across industries to improve quality, reliability, and safety by anticipating potential failures during the design process.
The document discusses problems with the current failure mode and effects analysis (FMEA) process at a company called RPL. It notes that before 2010 there was no formal FMEA conducted during new model introductions, leading to inconsistent quality. In 2012 an FMEA template was introduced based on a 5-scale system, but this was found to have issues with accurately capturing severity, occurrence, and detection ratings. Compared to industry standards, the company's FMEA process differs in using a 5-scale instead of a more common 1-10 scale and in not requiring a cross-functional team approach. The document investigates these facts to develop an improved FMEA template and methodology to meet the company's robust manufacturing
FMEA is a systematic method for evaluating potential failures in a design, manufacturing or assembly process. It involves analyzing possible failures, identifying their causes and effects, and prioritizing issues based on severity, occurrence, and detection. The process results in a risk priority number to determine which failures should be addressed first. FMEA is widely used in industries like automotive, aerospace, healthcare to prevent failures and improve quality and safety.
The document discusses Failure Mode, Effects and Criticality Analysis (FMECA) which is a step-by-step approach to identify all possible failures in a design. It defines key terms like failure modes, effects and criticality. The document outlines the phases, purpose, benefits and techniques of FMECA including hardware and functional approaches. It provides examples of applying FMECA to analyze components and recommends corrective actions to address high risks.
The document provides an overview of failure mode and effects analysis (FMEA). It describes FMEA as a systematic process used to identify potential failures, their causes and effects. The document outlines the 10 steps of an FMEA including reviewing the process, identifying potential failures and their effects, assigning ratings, calculating risk priority numbers, and taking actions. It also provides examples of scales used to rate the severity, occurrence, and detection of potential failures. The goal of FMEA is to prioritize failures and eliminate or reduce the highest risks.
FMEA failure-mode-and-effect-analysis_Occupational safety and healthJing Jing Cheng
油
Failure mode and effect analysis (FMEA) is one of the methods of hazard analysis. Through FMEA, failures in a system that may lead to undesirable situation can be identified
To identify which failures in a system can lead to undesirable situation.
Reliability Centered Maintenance (RCM) is a process that determines the best policies for managing asset functions and failures. It considers all asset management options like condition monitoring, scheduled restoration, and scheduled discard. RCM provides the optimal mix of reactive, time-based, condition-based, and proactive maintenance practices. When applied to commercial airlines in the 1970s, RCM reduced equipment-related crashes from 40 to 0.3 per million take-offs.
Lecture -3 Cold water supply system.pptxrabiaatif2
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The presentation on Cold Water Supply explored the fundamental principles of water distribution in buildings. It covered sources of cold water, including municipal supply, wells, and rainwater harvesting. Key components such as storage tanks, pipes, valves, and pumps were discussed for efficient water delivery. Various distribution systems, including direct and indirect supply methods, were analyzed for residential and commercial applications. The presentation emphasized water quality, pressure regulation, and contamination prevention. Common issues like pipe corrosion, leaks, and pressure drops were addressed along with maintenance strategies. Diagrams and case studies illustrated system layouts and best practices for optimal performance.
How to Build a Maze Solving Robot Using ArduinoCircuitDigest
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Learn how to make an Arduino-powered robot that can navigate mazes on its own using IR sensors and "Hand on the wall" algorithm.
This step-by-step guide will show you how to build your own maze-solving robot using Arduino UNO, three IR sensors, and basic components that you can easily find in your local electronics shop.
Preface: The ReGenX Generator innovation operates with a US Patented Frequency Dependent Load Current Delay which delays the creation and storage of created Electromagnetic Field Energy around the exterior of the generator coil. The result is the created and Time Delayed Electromagnetic Field Energy performs any magnitude of Positive Electro-Mechanical Work at infinite efficiency on the generator's Rotating Magnetic Field, increasing its Kinetic Energy and increasing the Kinetic Energy of an EV or ICE Vehicle to any magnitude without requiring any Externally Supplied Input Energy. In Electricity Generation applications the ReGenX Generator innovation now allows all electricity to be generated at infinite efficiency requiring zero Input Energy, zero Input Energy Cost, while producing zero Greenhouse Gas Emissions, zero Air Pollution and zero Nuclear Waste during the Electricity Generation Phase. In Electric Motor operation the ReGen-X Quantum Motor now allows any magnitude of Work to be performed with zero Electric Input Energy.
Demonstration Protocol: The demonstration protocol involves three prototypes;
1. Protytpe #1, demonstrates the ReGenX Generator's Load Current Time Delay when compared to the instantaneous Load Current Sine Wave for a Conventional Generator Coil.
2. In the Conventional Faraday Generator operation the created Electromagnetic Field Energy performs Negative Work at infinite efficiency and it reduces the Kinetic Energy of the system.
3. The Magnitude of the Negative Work / System Kinetic Energy Reduction (in Joules) is equal to the Magnitude of the created Electromagnetic Field Energy (also in Joules).
4. When the Conventional Faraday Generator is placed On-Load, Negative Work is performed and the speed of the system decreases according to Lenz's Law of Induction.
5. In order to maintain the System Speed and the Electric Power magnitude to the Loads, additional Input Power must be supplied to the Prime Mover and additional Mechanical Input Power must be supplied to the Generator's Drive Shaft.
6. For example, if 100 Watts of Electric Power is delivered to the Load by the Faraday Generator, an additional >100 Watts of Mechanical Input Power must be supplied to the Generator's Drive Shaft by the Prime Mover.
7. If 1 MW of Electric Power is delivered to the Load by the Faraday Generator, an additional >1 MW Watts of Mechanical Input Power must be supplied to the Generator's Drive Shaft by the Prime Mover.
8. Generally speaking the ratio is 2 Watts of Mechanical Input Power to every 1 Watt of Electric Output Power generated.
9. The increase in Drive Shaft Mechanical Input Power is provided by the Prime Mover and the Input Energy Source which powers the Prime Mover.
10. In the Heins ReGenX Generator operation the created and Time Delayed Electromagnetic Field Energy performs Positive Work at infinite efficiency and it increases the Kinetic Energy of the system.
This presentation provides an in-depth analysis of structural quality control in the KRP 401600 section of the Copper Processing Plant-3 (MOF-3) in Uzbekistan. As a Structural QA/QC Inspector, I have identified critical welding defects, alignment issues, bolting problems, and joint fit-up concerns.
Key topics covered:
Common Structural Defects Welding porosity, misalignment, bolting errors, and more.
Root Cause Analysis Understanding why these defects occur.
Corrective & Preventive Actions Effective solutions to improve quality.
Team Responsibilities Roles of supervisors, welders, fitters, and QC inspectors.
Inspection & Quality Control Enhancements Advanced techniques for defect detection.
Applicable Standards: GOST, KMK, SNK Ensuring compliance with international quality benchmarks.
This presentation is a must-watch for:
QA/QC Inspectors, Structural Engineers, Welding Inspectors, and Project Managers in the construction & oil & gas industries.
Professionals looking to improve quality control processes in large-scale industrial projects.
Download & share your thoughts! Let's discuss best practices for enhancing structural integrity in industrial projects.
Categories:
Engineering
Construction
Quality Control
Welding Inspection
Project Management
Tags:
#QAQC #StructuralInspection #WeldingDefects #BoltingIssues #ConstructionQuality #Engineering #GOSTStandards #WeldingInspection #QualityControl #ProjectManagement #MOF3 #CopperProcessing #StructuralEngineering #NDT #OilAndGas
Optimization of Cumulative Energy, Exergy Consumption and Environmental Life ...J. Agricultural Machinery
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Optimal use of resources, including energy, is one of the most important principles in modern and sustainable agricultural systems. Exergy analysis and life cycle assessment were used to study the efficient use of inputs, energy consumption reduction, and various environmental effects in the corn production system in Lorestan province, Iran. The required data were collected from farmers in Lorestan province using random sampling. The Cobb-Douglas equation and data envelopment analysis were utilized for modeling and optimizing cumulative energy and exergy consumption (CEnC and CExC) and devising strategies to mitigate the environmental impacts of corn production. The Cobb-Douglas equation results revealed that electricity, diesel fuel, and N-fertilizer were the major contributors to CExC in the corn production system. According to the Data Envelopment Analysis (DEA) results, the average efficiency of all farms in terms of CExC was 94.7% in the CCR model and 97.8% in the BCC model. Furthermore, the results indicated that there was excessive consumption of inputs, particularly potassium and phosphate fertilizers. By adopting more suitable methods based on DEA of efficient farmers, it was possible to save 6.47, 10.42, 7.40, 13.32, 31.29, 3.25, and 6.78% in the exergy consumption of diesel fuel, electricity, machinery, chemical fertilizers, biocides, seeds, and irrigation, respectively.
Engineering at Lovely Professional University (LPU).pdfSona
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LPUs engineering programs provide students with the skills and knowledge to excel in the rapidly evolving tech industry, ensuring a bright and successful future. With world-class infrastructure, top-tier placements, and global exposure, LPU stands as a premier destination for aspiring engineers.
Air pollution is contamination of the indoor or outdoor environment by any ch...dhanashree78
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Air pollution is contamination of the indoor or outdoor environment by any chemical, physical or biological agent that modifies the natural characteristics of the atmosphere.
Household combustion devices, motor vehicles, industrial facilities and forest fires are common sources of air pollution. Pollutants of major public health concern include particulate matter, carbon monoxide, ozone, nitrogen dioxide and sulfur dioxide. Outdoor and indoor air pollution cause respiratory and other diseases and are important sources of morbidity and mortality.
WHO data show that almost all of the global population (99%) breathe air that exceeds WHO guideline limits and contains high levels of pollutants, with low- and middle-income countries suffering from the highest exposures.
Air quality is closely linked to the earths climate and ecosystems globally. Many of the drivers of air pollution (i.e. combustion of fossil fuels) are also sources of greenhouse gas emissions. Policies to reduce air pollution, therefore, offer a win-win strategy for both climate and health, lowering the burden of disease attributable to air pollution, as well as contributing to the near- and long-term mitigation of climate change.
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1. WHAT IS FMEA?
It is a structured approach to
recognize & evaluate the potential failure & its
effects.
Identify actions to eliminate or reduce the chance
of potential failure occurring.
Document the process.
2. POTENTIAL FAILURE MODE AND EFFECTS ANALYSIS (DFMEA)
PRODUCT : Prepared by : FMEA NO.
ITEM : PAGE:
CORE TEAM : FMEA DATE / REVISION:
Action(s)
Taken
S
E
V
O
C
C
D
E
T
R
P
N
Function
/
Requirem
ents
Potenti
al
Failure
Mode
Potenti
al
Effect(
s) of
Failure
S
E
V
Action Results
Potential
Cause(s) /
Mechanism(s
) of Failure
R
P
N
Recommended
Action(s)
R
A
N
Resp
. &
Targ
et
Date
O
C
C
Current
Process
Controls
D
E
T
Design FMEA
5. INTERPRETATION OF THE FMEA
The essence of the FMEA is to identify and prevent known and potential
problems from reaching the customer.
There are three components that help define the priority of failures
Severity (S)
Occurrence (O)
Detection (D)
Severity is the seriousness of the effect of the failure mode.
It applies to the next Assy / Sub assy / Component.
Occurrence is the frequency of the causes/failure.
Severity ranking and Occurrence can be reduced only by design change
Detection is the ability of the current / proposed design controls to detect
the potential failure mode.
6. RPN = Severity (S) X Occurrence (O) X Detection (D)
RPN is a measure of design risk & is used to prioritize failures.
It can have a value of 1 to 1000, higher RPM means higher risk.
How to reduce RPN ?
Design verification, Design Validation.
Design change.
Change of material.
RISK PRIORITY NUMBER ( RPN )
7. Design FMEA (DFMEA)
It addresses the design intent;assumes the design will be
manufactured/assembled to this intent & no mfg failure.
The causes are design limitations, constraints.
Recommended actions are design changes, design
verifications.
Process FMEA (PFMEA)
It looks for manufacturing failure.
The causes are manufacturing problems.
Recommended actions are process/product control plans.
TYPES OF FMEA
8. Design of new products/processes.
Changes in existing products/processes.
New applications for existing products/processes.
Upgrading existing products/processes.
WHEN TO START FMEA?
9. APPLICATION OF FMEA
The FMEA can be applied in all stages of product life cycle.
It is a living document, first level FMEA shall begin at the
conceptual design & be completed before the design release.
Who conducts FMEA?
It is a team function and can not be done on an individual basis.
10. Function/Requirement:
The task that the system / subsystem / item performs to
meet the design intent.
It has to be concise, exact & easy to understand.
List all functions & include environment conditions if any.
Examples : Lubricate, Position, Retain, Support.
VOCABULARY OF THE FMEA
11. POTENTIAL FAILURE MODE
It is the manner in which a component / sub Assy / Assy could
potentially fail to meet the design intent. It has to be described
in physical or technical terms and not as a symptom noticed
by the customer.
It may also be the cause of a P.F. mode in a higher level assy
or be the effect of one in lower level component.
PF modes under certain operating & usage conditions shall
also to be considered.
Assumption: PF could occur ,but may not necessary occur.
Ex. Cracked, Deformed, Leaking, Oxidised.
12. It is the effect of the failure mode on the function, as perceived
by the customer.
The customer can be external or external.
State clearly the impact on safety, non compliance to
regulations or deterioration of the function.
Examples: Noise, Erratic operation, Poor appearance, Unstable
POTENTIAL EFFECTS OF FAILURE
13. EFFECT CRITERIA : SEVERITY OF EFFECT RANKING
Hazardous- Without warning Many endanger machine or assembly operator. Very high severity ranking when a potential failure mode affects
safe vehicle operation and/or involves noncompliance with government regulation. Failure will occur without warning.
10
Hazardous- with warning Many endanger machine or assembly operator. Very high severity ranking when a potential failure mode affects
safe vehicle operation and/or involves noncompliance with government regulation. Failure will occur with warning.
9
Very High Major disruption to production line. 100% of product may have to be scrapped. Vehicle/item inoperable, loss of primary function.
Customer very dissatisfied. 8
High Minor disruption to production line. Product may have to be sorted and a portion (less than 100%) scrapped. Vehicle/item operable, but
at a reduced level of performance. Customer dissatisfied. 7
Moderate Minor disruption to production line. A portion (less than 100%) of the product may have to be scrapped ( no sorting). Vehicle/item
operable, but some comfort/convenience item(s) inoperable. Customers experiences discomfort.
6
Low Minor disruption to production line. 100% of product may have to be reworked. Vehicle/item operable, but some comfort/convenience
item(s) operable
at reduced level of performance. Customers experiences discomfort. 5
Very Low Minor disruption to production line. The product may have to be sorted and a portion (less than 100 %) reworked. Fit &
Finish/squeak & Rattle item does not conform. Defect noticed by most customers. 4
Minor disruption to production line. A portion (less than 100 %) of the product may have reworked on-line but out-of-station. Fit &
Finish/squeak & Rattle item does not conform. Defect noticed by average customers. 3
Very Minor Minor disruption to production line. A portion (less than 100 %) of the product have to be reworked on-line but in-station. Fit &
Finish/squeak & Rattle item does not conform. Defect noticed by discriminating customers. 2
None No effect 1
14. Evaluation Criteria for OCCURRENCE
PROBABILITY OF FAILURE POSSIBLE FAILURE RATES CpK RANKING
Very High: Failure is almost inevitable 1 in 2 0.33 10
1 in 3 0.33 9
High: Generally associated with processes
similar to previous processes that have often failed 1 in 8 0.51 7
Moderate: Generally associated with processes 1 in 80 0.83 6
similar to previous processes which have experienced 1 in 400 1.00 5
occasional failures, but not in major proportions 1 in 2000 1.17 4
Low: Isolated failures associated with similar 1 in 15,000 1.33 3
processes
Very Low: Only isolated failures associated with 1 in 1,50,000 1.50 2
almost identical processes
Remote: failure is unlikely. No failures ever associated 1 in 15,00,000 1.67 1
with almost identical processes
15. Evaluation Criteria for DETECTION
DETECTION Criteria : Likelihood the existence of a defect will be detected by process RANKING
controls before next or subsequent process, or before part or component leaves the
manufacturing or assembly location
Almost Impossible No known control(s) available to detect failure mode 10
Very remote Very remote likelihood current control(s) will detect failure mode 9
Remote Remote likelihood current control(s) will detect failure mode 8
Very Low Very low likelihood current control(s) will detect failure mode 7
Low Low likelihood current control(s) will detect failure mode 6
Moderate Moderate likelihood current control(s) will detect failure mode 5
Moderately High Moderately high likelihood current control(s) will detect failure mode 4
High High likelihood current control(s) will detect failure mode 3
Very High Very high likelihood current control(s) will detect failure mode 2
Almost Certain Current control(s) almost certain to detect the failure mode.
Reliable detection controls are known with similar processes 1
16. REFERENCE MATERAIL
Books:
The Root Cause Analysis handbook.
FMEA - Theory to execution.
The FMEA pocket handbook.
Internet sites:
www.fmeainfocentre.com
www.fmeca.com
www.amsup.com
Softwares:
FMEA Facilitator, Relex