SlideShare a Scribd company logo
Manajemen Perawatan – 05 FMEA Arif Rahman – Universitas Brawijaya
1
1
FAILURE MODE &
EFFECT ANALYSIS
Teknik Industri
Universitas Brawijaya
Manajemen Perawatan – 05 FMEA Arif Rahman – Universitas Brawijaya
MetodePengukuranResiko
Fault Tree Analysis
Failure Mode and Effect Analysis
2
Manajemen Perawatan – 05 FMEA Arif Rahman – Universitas Brawijaya
Definition
Probabilitas: peluang atau
kemungkinan kemunculan satu
kejadian.
Resiko: peluang kemunculan satu
kejadian yang tidak diharapkan serta
tingkat kritis dampak yang diakibatkan.
Pengukuran Resiko: proses
kategorisasi resiko secara kualitatif
atau estimasi resiko kuantitatif.
Manajemen Resiko : proses
identifikasi resiko, pengukuran resiko,
disposisi resiko serta monitor dan
kontrol resiko.
3
Manajemen Perawatan – 05 FMEA Arif Rahman – Universitas Brawijaya
Definition
Reliability: Probabilitas sistem berfungsi
andal dan efektif dalam kondisi spesifik
selama periode tertentu tanpa terjadi
kegagalan atau kerusakan.
Safety: Tingkat keamanan bebas dari
kecelakaan, cedera, kerusakan atau
kehilangan sumber daya.
Hazard: Kondisi yang beresiko mungkin
menyebabkan atau berkontribusi terjadinya
mishap.
Mishap: Kejadian yang tidak diharapkan
karena dapat menyebabkan kecelakaan,
cedera, kerusakan atau kehilangan sumber
daya.
4
Manajemen Perawatan – 05 FMEA Arif Rahman – Universitas Brawijaya
FailureMode&EffectAnalysis
Failure Mode & Effect Analysis (FMEA)
merupakan metode analisis manual
untuk menentukan konsekuen dari
kegagalan komponen, modul atau
subsistem
FMEA berwujud tabel spreadsheet yang
mengidentifikasi macam kegagalan
(failure), faktor kegagalan (failure
mode), akibat kegagalan (failure effect),
penyebab (possible causes), frekuensi
kejadian (probability of occurrence),
dampak kegagalan (severity)
konsekuensi (consequences), dan
rekomendasi (proposed safeguards).
5
Manajemen Perawatan – 05 FMEA Arif Rahman – Universitas Brawijaya
FMEASteps
1. For each process input (start with
high value inputs), determine the ways
in which the input can go wrong (failure
mode)
2. For each failure mode, determine
effects. Select a severity level for each
effect
3. Identify potential causes of each
failure mode. Select an occurrence
level for each cause
4. List current controls for each cause.
Select a detection level for each cause
6
Manajemen Perawatan – 05 FMEA Arif Rahman – Universitas Brawijaya
FMEASteps
5. Calculate the Risk Priority Number
(RPN)
6. Develop recommended actions,
assign responsible persons, and take
actions. Give priority to high RPNs.
7. Assign the predicted severity,
occurrence, and detection levels and
compare RPNs
7
Manajemen Perawatan – 05 FMEA Arif Rahman – Universitas Brawijaya
FailureModesandEffects
The relationship between failure
modes and effects is not always 1
to 1
8
Failure Mode 1
Failure Mode 2
Effect 1
Effect 2
Failure Mode 1
Failure Mode 2
Effect 1
Failure Mode 1
Effect 1
Effect 2
Manajemen Perawatan – 05 FMEA Arif Rahman – Universitas Brawijaya
Severity,Occurrence,andDetection
Severity
Importance of the effect on customer
requirements
• Often can’t do anything about this
Occurrence
Frequency with which a given cause
occurs and creates failure modes
Detection
The ability of the current control
scheme to detect or prevent a given
cause
9
Manajemen Perawatan – 05 FMEA Arif Rahman – Universitas Brawijaya
Severity,Occurrence,andDetection
Severity
1 = Not Severe, 10 = Very Severe
Occurrence
1 = Not Likely, 10 = Very Likely
Detection
1 = Likely to Detect, 10 = Not Likely
to Detect
10
Manajemen Perawatan – 05 FMEA Arif Rahman – Universitas Brawijaya
Severity,Occurrence,andDetection
Untuk menilai tingkat konsekuensi
atau severity dari
11
Manajemen Perawatan – 05 FMEA Arif Rahman – Universitas Brawijaya
RiskPriorityNumber(RPN)
RPN is the product of the severity,
occurrence, and detection scores.
12
Severity Occurrence Detection RPNRPNX X =
Manajemen Perawatan – 05 FMEA Arif Rahman – Universitas Brawijaya
Truck Stop Coffee Process Map
13
Inputs OutputsInputs Outputs
Hot Water
Soap
Scrubber
Clean Carafe
Cold Water
Measuring Mark
Full Carafe
Filter
Maker w/Filter
Fresh Coffee
Dosing Scoop
Maker w/Filter &
Coffee
Brewing Coffee
Cleaned Carafe
Dirty Water
Wet Scrubber
Full Carafe
Filled Maker
Empty Carafe
Maker w/Filter
Maker w/Filter &
Coffee
Operating Maker
Heat
Brewed Coffee
Hot Coffee
Customer
Order
Size Specification
Complete Order
Hot Coffee
Cup
Filled Cup
Customer
Cream
Sugar
Amount Desired
Complete Order
Money
Coffee Delivery
Complete Order
Filled Cup
Customer Reply
Amount Specified
Complete Order
Make Change
Temperature
Taste
Strength
Smile
Happy Customer
Pour Coffee
into Cup
Pour Coffee
into Cup
Offer
Cream &
Sugar
Offer
Cream &
Sugar
Complete
Transaction
Complete
Transaction
Say Thank YouSay Thank You
Receive
Coffee
Order
Receive
Coffee
Order
Clean CarafeClean Carafe
Fill Carafe
w/Water
Fill Carafe
w/Water
Pour Water
into Maker
Pour Water
into Maker
Place Filter in MakerPlace Filter in Maker
Put Coffee
in Filter
Put Coffee
in Filter
Select Temperature
Setting
Select Temperature
Setting
Turn Maker OnTurn Maker On
Manajemen Perawatan – 05 FMEA Arif Rahman – Universitas Brawijaya
Truck Stop Coffee C&E Matrix
14
Temp of
Coffee Taste Strength Process Outputs
8 10 6 Importance
Process Step ----- Process input ----- --------- Total ---------
0
Clean Carafe 0 3 1 36
Fill Carafe with Water 0 9 9 144
Pour Water into Maker 0 1 1 16
Place Filter in Maker 0 3 1 36
Put Coffee in Filter 0 9 9 144
Turn Maker On 3 1 0 34
Select Temperature Setting 9 3 3 120
Receive Coffee Order 0 0 1 6
Pour Coffee into Cup 3 1 3 52
Offer Cream & Sugar 3 9 3 132
Complete Transaction 1 1 1 24
Say Thank You 0 0 0 0
0
0
0
0
0
0
0
0
0
0
0
--------- Correlation of Input to Output ---------
Manajemen Perawatan – 05 FMEA Arif Rahman – Universitas Brawijaya
Step 1: For Each Input, Determine the
Potential Failure Modes
15
Manajemen Perawatan – 05 FMEA Arif Rahman – Universitas Brawijaya
Step 2: For Each Failure Mode, Identify
Effects and Assign Severity
16
Manajemen Perawatan – 05 FMEA Arif Rahman – Universitas Brawijaya
Step 3: Identify Potential Causes of Each
Failure Mode and Assign Score
17
Manajemen Perawatan – 05 FMEA Arif Rahman – Universitas Brawijaya
Step 4: List Current Controls for Each Cause
and Assign Score
18
Manajemen Perawatan – 05 FMEA Arif Rahman – Universitas Brawijaya
Step 5: Calculate RPNs
19
Manajemen Perawatan – 05 FMEA Arif Rahman – Universitas Brawijaya
Step 6: Develop Recommended Actions,
Assign Responsible Persons, and Take
Actions
20
Manajemen Perawatan – 05 FMEA Arif Rahman – Universitas Brawijaya
Step 7: Assign the Predicted Severity,
Occurrence, and Detection Levels and
Compare RPNs
21
Manajemen Perawatan – 05 FMEA Arif Rahman – Universitas Brawijaya
22
Akhir Perkuliahan…Akhir Perkuliahan…
…… Ada Yang DitanyakanAda Yang Ditanyakan

More Related Content

What's hot

The application-of-fmea-to-a-medication-reconciliation-process-12337721246904...
The application-of-fmea-to-a-medication-reconciliation-process-12337721246904...The application-of-fmea-to-a-medication-reconciliation-process-12337721246904...
The application-of-fmea-to-a-medication-reconciliation-process-12337721246904...
Sathish Kumar
 
Failure mode effect_analysis_fmea
Failure mode effect_analysis_fmeaFailure mode effect_analysis_fmea
Failure mode effect_analysis_fmea
Jitesh Gaurav
 
Failure Mode and Effect Analysis
Failure Mode and Effect AnalysisFailure Mode and Effect Analysis
Failure Mode and Effect Analysis
Pulkit Sharma
 
FMEA Training, Failure Modes and Effects Analysis
FMEA Training, Failure Modes and Effects AnalysisFMEA Training, Failure Modes and Effects Analysis
FMEA Training, Failure Modes and Effects Analysis
Tonex
 
Six Steps to Implementing a Successful Risk Matrix
Six Steps to Implementing a Successful Risk MatrixSix Steps to Implementing a Successful Risk Matrix
Six Steps to Implementing a Successful Risk Matrix
John Campo
 

What's hot (19)

Failure mode
Failure modeFailure mode
Failure mode
 
failure modes and effects analysis (fmea)
failure modes and effects analysis (fmea)failure modes and effects analysis (fmea)
failure modes and effects analysis (fmea)
 
Failure Mode Effects & Criticality Analysis Workshop by Tetrahedron
Failure Mode Effects & Criticality Analysis Workshop by TetrahedronFailure Mode Effects & Criticality Analysis Workshop by Tetrahedron
Failure Mode Effects & Criticality Analysis Workshop by Tetrahedron
 
The application-of-fmea-to-a-medication-reconciliation-process-12337721246904...
The application-of-fmea-to-a-medication-reconciliation-process-12337721246904...The application-of-fmea-to-a-medication-reconciliation-process-12337721246904...
The application-of-fmea-to-a-medication-reconciliation-process-12337721246904...
 
Failure Modes and Effect Analysis (FMEA)
Failure Modes and Effect Analysis (FMEA)Failure Modes and Effect Analysis (FMEA)
Failure Modes and Effect Analysis (FMEA)
 
Failure modes effect analysis
Failure modes effect analysisFailure modes effect analysis
Failure modes effect analysis
 
Failure mode effect_analysis_fmea
Failure mode effect_analysis_fmeaFailure mode effect_analysis_fmea
Failure mode effect_analysis_fmea
 
A Novel View of Applying FMECA to Software Engineering
A Novel View of Applying FMECA to Software EngineeringA Novel View of Applying FMECA to Software Engineering
A Novel View of Applying FMECA to Software Engineering
 
Failure Modes And Effect Analysis (Fmea)
Failure Modes And Effect Analysis (Fmea)Failure Modes And Effect Analysis (Fmea)
Failure Modes And Effect Analysis (Fmea)
 
1970
19701970
1970
 
Introduction to FMEA/FMECA
Introduction to FMEA/FMECAIntroduction to FMEA/FMECA
Introduction to FMEA/FMECA
 
FMEA and FMECA
FMEA and FMECAFMEA and FMECA
FMEA and FMECA
 
Fmea
FmeaFmea
Fmea
 
Failure Mode and Effect Analysis
Failure Mode and Effect AnalysisFailure Mode and Effect Analysis
Failure Mode and Effect Analysis
 
Quality Risk management Application of FMEA
Quality Risk management  Application of FMEAQuality Risk management  Application of FMEA
Quality Risk management Application of FMEA
 
Fmea In Services
Fmea In ServicesFmea In Services
Fmea In Services
 
FMEA Training, Failure Modes and Effects Analysis
FMEA Training, Failure Modes and Effects AnalysisFMEA Training, Failure Modes and Effects Analysis
FMEA Training, Failure Modes and Effects Analysis
 
Tqm fmea
Tqm fmeaTqm fmea
Tqm fmea
 
Six Steps to Implementing a Successful Risk Matrix
Six Steps to Implementing a Successful Risk MatrixSix Steps to Implementing a Successful Risk Matrix
Six Steps to Implementing a Successful Risk Matrix
 

Similar to Manper07 fmea

11. faliure mode & effect analysis
11. faliure mode & effect analysis11. faliure mode & effect analysis
11. faliure mode & effect analysis
Hakeem-Ur- Rehman
 

Similar to Manper07 fmea (20)

Failure mode and effect analysis
Failure mode and effect analysisFailure mode and effect analysis
Failure mode and effect analysis
 
Quality Risk Management - FMEA
Quality Risk Management - FMEAQuality Risk Management - FMEA
Quality Risk Management - FMEA
 
FMEA Analysis Cycle
FMEA Analysis CycleFMEA Analysis Cycle
FMEA Analysis Cycle
 
11. faliure mode & effect analysis
11. faliure mode & effect analysis11. faliure mode & effect analysis
11. faliure mode & effect analysis
 
Presentation on QRM
Presentation on QRMPresentation on QRM
Presentation on QRM
 
Failure Mode and Effects Analysis WithAdrian™ FMEA 2013 Adrian Beale
Failure Mode and Effects Analysis WithAdrian™ FMEA 2013 Adrian BealeFailure Mode and Effects Analysis WithAdrian™ FMEA 2013 Adrian Beale
Failure Mode and Effects Analysis WithAdrian™ FMEA 2013 Adrian Beale
 
Quality risk management
Quality risk managementQuality risk management
Quality risk management
 
FMEA.ppt
FMEA.pptFMEA.ppt
FMEA.ppt
 
FMEA training for Healthcare - Sample
FMEA training for Healthcare - SampleFMEA training for Healthcare - Sample
FMEA training for Healthcare - Sample
 
FMEA
FMEAFMEA
FMEA
 
Application of FMEA to a Sterility Testing Isolator: A Case Study
Application of FMEA to a Sterility Testing Isolator: A Case StudyApplication of FMEA to a Sterility Testing Isolator: A Case Study
Application of FMEA to a Sterility Testing Isolator: A Case Study
 
Quality risk management
Quality risk managementQuality risk management
Quality risk management
 
Quality Risk Management 2 brief note
Quality  Risk Management 2 brief noteQuality  Risk Management 2 brief note
Quality Risk Management 2 brief note
 
Quality Risk Management Dr.A. Amsavel
Quality Risk Management   Dr.A. AmsavelQuality Risk Management   Dr.A. Amsavel
Quality Risk Management Dr.A. Amsavel
 
Quality Risk Management - Dr.A. Amsavel
Quality Risk Management  - Dr.A. AmsavelQuality Risk Management  - Dr.A. Amsavel
Quality Risk Management - Dr.A. Amsavel
 
Risk Assessment with a FMEA Tool
Risk Assessment with a FMEA ToolRisk Assessment with a FMEA Tool
Risk Assessment with a FMEA Tool
 
Risk management using FMEA in pharma
Risk management using FMEA in pharmaRisk management using FMEA in pharma
Risk management using FMEA in pharma
 
FAILURE MODE AND EFFECT ANALYSIS (FMEA) WITH SPECIAL REFERENCE TO ICU, EMERGE...
FAILURE MODE AND EFFECT ANALYSIS (FMEA) WITH SPECIAL REFERENCE TO ICU, EMERGE...FAILURE MODE AND EFFECT ANALYSIS (FMEA) WITH SPECIAL REFERENCE TO ICU, EMERGE...
FAILURE MODE AND EFFECT ANALYSIS (FMEA) WITH SPECIAL REFERENCE TO ICU, EMERGE...
 
Risk management and environmental monitoring
Risk management and environmental monitoringRisk management and environmental monitoring
Risk management and environmental monitoring
 
Fmea
FmeaFmea
Fmea
 

More from Arif Rahman

More from Arif Rahman (20)

Proses Data: Analisis Data Eksploratori - Modul Ajar Kuliah Analisis Data 07
Proses Data: Analisis Data Eksploratori - Modul Ajar Kuliah Analisis Data 07Proses Data: Analisis Data Eksploratori - Modul Ajar Kuliah Analisis Data 07
Proses Data: Analisis Data Eksploratori - Modul Ajar Kuliah Analisis Data 07
 
Proses Data: Analisis Data Eksploratori - Modul Ajar Kuliah Analisis Data 06
Proses Data: Analisis Data Eksploratori - Modul Ajar Kuliah Analisis Data 06Proses Data: Analisis Data Eksploratori - Modul Ajar Kuliah Analisis Data 06
Proses Data: Analisis Data Eksploratori - Modul Ajar Kuliah Analisis Data 06
 
Preparasi Data: Pembersihan dan Proses Awal Data - Modul Ajar Kuliah Analisis...
Preparasi Data: Pembersihan dan Proses Awal Data - Modul Ajar Kuliah Analisis...Preparasi Data: Pembersihan dan Proses Awal Data - Modul Ajar Kuliah Analisis...
Preparasi Data: Pembersihan dan Proses Awal Data - Modul Ajar Kuliah Analisis...
 
Preparasi Data: Pembersihan dan Proses Awal Data - Modul Ajar Kuliah Analisis...
Preparasi Data: Pembersihan dan Proses Awal Data - Modul Ajar Kuliah Analisis...Preparasi Data: Pembersihan dan Proses Awal Data - Modul Ajar Kuliah Analisis...
Preparasi Data: Pembersihan dan Proses Awal Data - Modul Ajar Kuliah Analisis...
 
Preparasi Data: Penetapan Tujuan dan Pengumpulan Data - Modul Ajar Kuliah Ana...
Preparasi Data: Penetapan Tujuan dan Pengumpulan Data - Modul Ajar Kuliah Ana...Preparasi Data: Penetapan Tujuan dan Pengumpulan Data - Modul Ajar Kuliah Ana...
Preparasi Data: Penetapan Tujuan dan Pengumpulan Data - Modul Ajar Kuliah Ana...
 
Proses Data Science - Modul Ajar Kuliah Analisis Data 02
Proses Data Science - Modul Ajar Kuliah Analisis Data 02Proses Data Science - Modul Ajar Kuliah Analisis Data 02
Proses Data Science - Modul Ajar Kuliah Analisis Data 02
 
Pengantar Analisis Data - Modul Ajar Kuliah Analisis Data 01
Pengantar Analisis Data - Modul Ajar Kuliah Analisis Data 01Pengantar Analisis Data - Modul Ajar Kuliah Analisis Data 01
Pengantar Analisis Data - Modul Ajar Kuliah Analisis Data 01
 
Modul Ajar Statistika Inferensia ke-13: Analisis Variansi, Eksperimentasi Fak...
Modul Ajar Statistika Inferensia ke-13: Analisis Variansi, Eksperimentasi Fak...Modul Ajar Statistika Inferensia ke-13: Analisis Variansi, Eksperimentasi Fak...
Modul Ajar Statistika Inferensia ke-13: Analisis Variansi, Eksperimentasi Fak...
 
Modul Ajar Statistika Inferensia ke-12: Uji Asumsi Klasik pada Regresi Linier...
Modul Ajar Statistika Inferensia ke-12: Uji Asumsi Klasik pada Regresi Linier...Modul Ajar Statistika Inferensia ke-12: Uji Asumsi Klasik pada Regresi Linier...
Modul Ajar Statistika Inferensia ke-12: Uji Asumsi Klasik pada Regresi Linier...
 
Modul Ajar Statistika Inferensia ke-11: Analisis Regresi Linier Berganda (Mul...
Modul Ajar Statistika Inferensia ke-11: Analisis Regresi Linier Berganda (Mul...Modul Ajar Statistika Inferensia ke-11: Analisis Regresi Linier Berganda (Mul...
Modul Ajar Statistika Inferensia ke-11: Analisis Regresi Linier Berganda (Mul...
 
Modul Ajar Statistika Inferensia ke-10: Analisis Regresi Nonlinier
Modul Ajar Statistika Inferensia ke-10: Analisis Regresi NonlinierModul Ajar Statistika Inferensia ke-10: Analisis Regresi Nonlinier
Modul Ajar Statistika Inferensia ke-10: Analisis Regresi Nonlinier
 
Modul Ajar Statistika Inferensia ke-9: Analisis Regresi Linier Sederhana (Sim...
Modul Ajar Statistika Inferensia ke-9: Analisis Regresi Linier Sederhana (Sim...Modul Ajar Statistika Inferensia ke-9: Analisis Regresi Linier Sederhana (Sim...
Modul Ajar Statistika Inferensia ke-9: Analisis Regresi Linier Sederhana (Sim...
 
Modul Ajar Statistika Inferensia ke-8: Analisis Korelasi Pearson, Spearman, K...
Modul Ajar Statistika Inferensia ke-8: Analisis Korelasi Pearson, Spearman, K...Modul Ajar Statistika Inferensia ke-8: Analisis Korelasi Pearson, Spearman, K...
Modul Ajar Statistika Inferensia ke-8: Analisis Korelasi Pearson, Spearman, K...
 
Modul Ajar Statistika Inferensia ke-7: Uji Tabel Kontingensi Independensi dan...
Modul Ajar Statistika Inferensia ke-7: Uji Tabel Kontingensi Independensi dan...Modul Ajar Statistika Inferensia ke-7: Uji Tabel Kontingensi Independensi dan...
Modul Ajar Statistika Inferensia ke-7: Uji Tabel Kontingensi Independensi dan...
 
Modul Ajar Statistika Inferensia ke-6: Uji Kesesuaian Baik (Goodness of Fit T...
Modul Ajar Statistika Inferensia ke-6: Uji Kesesuaian Baik (Goodness of Fit T...Modul Ajar Statistika Inferensia ke-6: Uji Kesesuaian Baik (Goodness of Fit T...
Modul Ajar Statistika Inferensia ke-6: Uji Kesesuaian Baik (Goodness of Fit T...
 
Modul Ajar Statistika Inferensia ke-5: Uji Hipotesa Rata-Rata Nonparametrik
Modul Ajar Statistika Inferensia ke-5: Uji Hipotesa Rata-Rata NonparametrikModul Ajar Statistika Inferensia ke-5: Uji Hipotesa Rata-Rata Nonparametrik
Modul Ajar Statistika Inferensia ke-5: Uji Hipotesa Rata-Rata Nonparametrik
 
Modul Ajar Statistika Inferensia ke-4: Uji Hipotesa Proporsi Parametrik
Modul Ajar Statistika Inferensia ke-4: Uji Hipotesa Proporsi ParametrikModul Ajar Statistika Inferensia ke-4: Uji Hipotesa Proporsi Parametrik
Modul Ajar Statistika Inferensia ke-4: Uji Hipotesa Proporsi Parametrik
 
Modul Ajar Statistika Inferensia ke-3: Uji Hipotesa Variansi Parametrik
Modul Ajar Statistika Inferensia ke-3: Uji Hipotesa Variansi ParametrikModul Ajar Statistika Inferensia ke-3: Uji Hipotesa Variansi Parametrik
Modul Ajar Statistika Inferensia ke-3: Uji Hipotesa Variansi Parametrik
 
Modul Ajar Statistika Inferensia ke-2: Uji Hipotesa Rata-rata Parametrik
Modul Ajar Statistika Inferensia ke-2: Uji Hipotesa Rata-rata ParametrikModul Ajar Statistika Inferensia ke-2: Uji Hipotesa Rata-rata Parametrik
Modul Ajar Statistika Inferensia ke-2: Uji Hipotesa Rata-rata Parametrik
 
Modul Ajar Statistika Inferensia ke-1: Pengantar Statistika Inferensia
Modul Ajar Statistika Inferensia ke-1: Pengantar Statistika InferensiaModul Ajar Statistika Inferensia ke-1: Pengantar Statistika Inferensia
Modul Ajar Statistika Inferensia ke-1: Pengantar Statistika Inferensia
 

Recently uploaded

Laundry management system project report.pdf
Laundry management system project report.pdfLaundry management system project report.pdf
Laundry management system project report.pdf
Kamal Acharya
 
Online blood donation management system project.pdf
Online blood donation management system project.pdfOnline blood donation management system project.pdf
Online blood donation management system project.pdf
Kamal Acharya
 
Automobile Management System Project Report.pdf
Automobile Management System Project Report.pdfAutomobile Management System Project Report.pdf
Automobile Management System Project Report.pdf
Kamal Acharya
 
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxCFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
R&R Consult
 

Recently uploaded (20)

CME397 Surface Engineering- Professional Elective
CME397 Surface Engineering- Professional ElectiveCME397 Surface Engineering- Professional Elective
CME397 Surface Engineering- Professional Elective
 
NO1 Pandit Amil Baba In Bahawalpur, Sargodha, Sialkot, Sheikhupura, Rahim Yar...
NO1 Pandit Amil Baba In Bahawalpur, Sargodha, Sialkot, Sheikhupura, Rahim Yar...NO1 Pandit Amil Baba In Bahawalpur, Sargodha, Sialkot, Sheikhupura, Rahim Yar...
NO1 Pandit Amil Baba In Bahawalpur, Sargodha, Sialkot, Sheikhupura, Rahim Yar...
 
Laundry management system project report.pdf
Laundry management system project report.pdfLaundry management system project report.pdf
Laundry management system project report.pdf
 
fundamentals of drawing and isometric and orthographic projection
fundamentals of drawing and isometric and orthographic projectionfundamentals of drawing and isometric and orthographic projection
fundamentals of drawing and isometric and orthographic projection
 
WATER CRISIS and its solutions-pptx 1234
WATER CRISIS and its solutions-pptx 1234WATER CRISIS and its solutions-pptx 1234
WATER CRISIS and its solutions-pptx 1234
 
Online blood donation management system project.pdf
Online blood donation management system project.pdfOnline blood donation management system project.pdf
Online blood donation management system project.pdf
 
Toll tax management system project report..pdf
Toll tax management system project report..pdfToll tax management system project report..pdf
Toll tax management system project report..pdf
 
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...
 
Water Industry Process Automation and Control Monthly - May 2024.pdf
Water Industry Process Automation and Control Monthly - May 2024.pdfWater Industry Process Automation and Control Monthly - May 2024.pdf
Water Industry Process Automation and Control Monthly - May 2024.pdf
 
ASME IX(9) 2007 Full Version .pdf
ASME IX(9)  2007 Full Version       .pdfASME IX(9)  2007 Full Version       .pdf
ASME IX(9) 2007 Full Version .pdf
 
Courier management system project report.pdf
Courier management system project report.pdfCourier management system project report.pdf
Courier management system project report.pdf
 
Top 13 Famous Civil Engineering Scientist
Top 13 Famous Civil Engineering ScientistTop 13 Famous Civil Engineering Scientist
Top 13 Famous Civil Engineering Scientist
 
ENERGY STORAGE DEVICES INTRODUCTION UNIT-I
ENERGY STORAGE DEVICES  INTRODUCTION UNIT-IENERGY STORAGE DEVICES  INTRODUCTION UNIT-I
ENERGY STORAGE DEVICES INTRODUCTION UNIT-I
 
Automobile Management System Project Report.pdf
Automobile Management System Project Report.pdfAutomobile Management System Project Report.pdf
Automobile Management System Project Report.pdf
 
A CASE STUDY ON ONLINE TICKET BOOKING SYSTEM PROJECT.pdf
A CASE STUDY ON ONLINE TICKET BOOKING SYSTEM PROJECT.pdfA CASE STUDY ON ONLINE TICKET BOOKING SYSTEM PROJECT.pdf
A CASE STUDY ON ONLINE TICKET BOOKING SYSTEM PROJECT.pdf
 
İTÜ CAD and Reverse Engineering Workshop
İTÜ CAD and Reverse Engineering WorkshopİTÜ CAD and Reverse Engineering Workshop
İTÜ CAD and Reverse Engineering Workshop
 
Quality defects in TMT Bars, Possible causes and Potential Solutions.
Quality defects in TMT Bars, Possible causes and Potential Solutions.Quality defects in TMT Bars, Possible causes and Potential Solutions.
Quality defects in TMT Bars, Possible causes and Potential Solutions.
 
Introduction to Machine Learning Unit-5 Notes for II-II Mechanical Engineering
Introduction to Machine Learning Unit-5 Notes for II-II Mechanical EngineeringIntroduction to Machine Learning Unit-5 Notes for II-II Mechanical Engineering
Introduction to Machine Learning Unit-5 Notes for II-II Mechanical Engineering
 
Democratizing Fuzzing at Scale by Abhishek Arya
Democratizing Fuzzing at Scale by Abhishek AryaDemocratizing Fuzzing at Scale by Abhishek Arya
Democratizing Fuzzing at Scale by Abhishek Arya
 
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxCFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
 

Manper07 fmea

  • 1. Manajemen Perawatan – 05 FMEA Arif Rahman – Universitas Brawijaya 1 1 FAILURE MODE & EFFECT ANALYSIS Teknik Industri Universitas Brawijaya
  • 2. Manajemen Perawatan – 05 FMEA Arif Rahman – Universitas Brawijaya MetodePengukuranResiko Fault Tree Analysis Failure Mode and Effect Analysis 2
  • 3. Manajemen Perawatan – 05 FMEA Arif Rahman – Universitas Brawijaya Definition Probabilitas: peluang atau kemungkinan kemunculan satu kejadian. Resiko: peluang kemunculan satu kejadian yang tidak diharapkan serta tingkat kritis dampak yang diakibatkan. Pengukuran Resiko: proses kategorisasi resiko secara kualitatif atau estimasi resiko kuantitatif. Manajemen Resiko : proses identifikasi resiko, pengukuran resiko, disposisi resiko serta monitor dan kontrol resiko. 3
  • 4. Manajemen Perawatan – 05 FMEA Arif Rahman – Universitas Brawijaya Definition Reliability: Probabilitas sistem berfungsi andal dan efektif dalam kondisi spesifik selama periode tertentu tanpa terjadi kegagalan atau kerusakan. Safety: Tingkat keamanan bebas dari kecelakaan, cedera, kerusakan atau kehilangan sumber daya. Hazard: Kondisi yang beresiko mungkin menyebabkan atau berkontribusi terjadinya mishap. Mishap: Kejadian yang tidak diharapkan karena dapat menyebabkan kecelakaan, cedera, kerusakan atau kehilangan sumber daya. 4
  • 5. Manajemen Perawatan – 05 FMEA Arif Rahman – Universitas Brawijaya FailureMode&EffectAnalysis Failure Mode & Effect Analysis (FMEA) merupakan metode analisis manual untuk menentukan konsekuen dari kegagalan komponen, modul atau subsistem FMEA berwujud tabel spreadsheet yang mengidentifikasi macam kegagalan (failure), faktor kegagalan (failure mode), akibat kegagalan (failure effect), penyebab (possible causes), frekuensi kejadian (probability of occurrence), dampak kegagalan (severity) konsekuensi (consequences), dan rekomendasi (proposed safeguards). 5
  • 6. Manajemen Perawatan – 05 FMEA Arif Rahman – Universitas Brawijaya FMEASteps 1. For each process input (start with high value inputs), determine the ways in which the input can go wrong (failure mode) 2. For each failure mode, determine effects. Select a severity level for each effect 3. Identify potential causes of each failure mode. Select an occurrence level for each cause 4. List current controls for each cause. Select a detection level for each cause 6
  • 7. Manajemen Perawatan – 05 FMEA Arif Rahman – Universitas Brawijaya FMEASteps 5. Calculate the Risk Priority Number (RPN) 6. Develop recommended actions, assign responsible persons, and take actions. Give priority to high RPNs. 7. Assign the predicted severity, occurrence, and detection levels and compare RPNs 7
  • 8. Manajemen Perawatan – 05 FMEA Arif Rahman – Universitas Brawijaya FailureModesandEffects The relationship between failure modes and effects is not always 1 to 1 8 Failure Mode 1 Failure Mode 2 Effect 1 Effect 2 Failure Mode 1 Failure Mode 2 Effect 1 Failure Mode 1 Effect 1 Effect 2
  • 9. Manajemen Perawatan – 05 FMEA Arif Rahman – Universitas Brawijaya Severity,Occurrence,andDetection Severity Importance of the effect on customer requirements • Often can’t do anything about this Occurrence Frequency with which a given cause occurs and creates failure modes Detection The ability of the current control scheme to detect or prevent a given cause 9
  • 10. Manajemen Perawatan – 05 FMEA Arif Rahman – Universitas Brawijaya Severity,Occurrence,andDetection Severity 1 = Not Severe, 10 = Very Severe Occurrence 1 = Not Likely, 10 = Very Likely Detection 1 = Likely to Detect, 10 = Not Likely to Detect 10
  • 11. Manajemen Perawatan – 05 FMEA Arif Rahman – Universitas Brawijaya Severity,Occurrence,andDetection Untuk menilai tingkat konsekuensi atau severity dari 11
  • 12. Manajemen Perawatan – 05 FMEA Arif Rahman – Universitas Brawijaya RiskPriorityNumber(RPN) RPN is the product of the severity, occurrence, and detection scores. 12 Severity Occurrence Detection RPNRPNX X =
  • 13. Manajemen Perawatan – 05 FMEA Arif Rahman – Universitas Brawijaya Truck Stop Coffee Process Map 13 Inputs OutputsInputs Outputs Hot Water Soap Scrubber Clean Carafe Cold Water Measuring Mark Full Carafe Filter Maker w/Filter Fresh Coffee Dosing Scoop Maker w/Filter & Coffee Brewing Coffee Cleaned Carafe Dirty Water Wet Scrubber Full Carafe Filled Maker Empty Carafe Maker w/Filter Maker w/Filter & Coffee Operating Maker Heat Brewed Coffee Hot Coffee Customer Order Size Specification Complete Order Hot Coffee Cup Filled Cup Customer Cream Sugar Amount Desired Complete Order Money Coffee Delivery Complete Order Filled Cup Customer Reply Amount Specified Complete Order Make Change Temperature Taste Strength Smile Happy Customer Pour Coffee into Cup Pour Coffee into Cup Offer Cream & Sugar Offer Cream & Sugar Complete Transaction Complete Transaction Say Thank YouSay Thank You Receive Coffee Order Receive Coffee Order Clean CarafeClean Carafe Fill Carafe w/Water Fill Carafe w/Water Pour Water into Maker Pour Water into Maker Place Filter in MakerPlace Filter in Maker Put Coffee in Filter Put Coffee in Filter Select Temperature Setting Select Temperature Setting Turn Maker OnTurn Maker On
  • 14. Manajemen Perawatan – 05 FMEA Arif Rahman – Universitas Brawijaya Truck Stop Coffee C&E Matrix 14 Temp of Coffee Taste Strength Process Outputs 8 10 6 Importance Process Step ----- Process input ----- --------- Total --------- 0 Clean Carafe 0 3 1 36 Fill Carafe with Water 0 9 9 144 Pour Water into Maker 0 1 1 16 Place Filter in Maker 0 3 1 36 Put Coffee in Filter 0 9 9 144 Turn Maker On 3 1 0 34 Select Temperature Setting 9 3 3 120 Receive Coffee Order 0 0 1 6 Pour Coffee into Cup 3 1 3 52 Offer Cream & Sugar 3 9 3 132 Complete Transaction 1 1 1 24 Say Thank You 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 --------- Correlation of Input to Output ---------
  • 15. Manajemen Perawatan – 05 FMEA Arif Rahman – Universitas Brawijaya Step 1: For Each Input, Determine the Potential Failure Modes 15
  • 16. Manajemen Perawatan – 05 FMEA Arif Rahman – Universitas Brawijaya Step 2: For Each Failure Mode, Identify Effects and Assign Severity 16
  • 17. Manajemen Perawatan – 05 FMEA Arif Rahman – Universitas Brawijaya Step 3: Identify Potential Causes of Each Failure Mode and Assign Score 17
  • 18. Manajemen Perawatan – 05 FMEA Arif Rahman – Universitas Brawijaya Step 4: List Current Controls for Each Cause and Assign Score 18
  • 19. Manajemen Perawatan – 05 FMEA Arif Rahman – Universitas Brawijaya Step 5: Calculate RPNs 19
  • 20. Manajemen Perawatan – 05 FMEA Arif Rahman – Universitas Brawijaya Step 6: Develop Recommended Actions, Assign Responsible Persons, and Take Actions 20
  • 21. Manajemen Perawatan – 05 FMEA Arif Rahman – Universitas Brawijaya Step 7: Assign the Predicted Severity, Occurrence, and Detection Levels and Compare RPNs 21
  • 22. Manajemen Perawatan – 05 FMEA Arif Rahman – Universitas Brawijaya 22 Akhir Perkuliahan…Akhir Perkuliahan… …… Ada Yang DitanyakanAda Yang Ditanyakan