SlideShare ist ein Scribd-Unternehmen logo
1 von 31
Downloaden Sie, um offline zu lesen
SUBMITTED BY: 
AKSHITA PILLAI 
MCAIIIrd SEM.
CONTENTS 
• History 
• What is Poka Yoke 
• Why is it important? 
• Example 
• Key Principle 
• Types of Poka Yoke 
• Poka Yoke System Design 
• Fail Safe Device/Machine 
• Sensor for detecting defects 
• Reason of using vision sensor and its working 
• Cognex-Checker Vision Sensor 
• Vision Sensor Inspections 
• Vision Sensor example in motion 
• Conclusion 
• References
POKA YOKE (yokeru) 
“Mistake” “Avoid”
HISTORY 
 This term Poka-Yoke was adopted by Dr.Shigeo 
Shingo as part of the Toyota Production System 
in 1960. 
 It was originally described as “baka-yoke”,but this 
name mean “Fool Proofing", so the name was 
changed to the Poka-Yoke.
WHAT IS POKA-YOKE? 
 Poka-Yoke is a Quality Assurance Technique, its 
purpose is to eliminate the product defects by 
preventing, correcting or drawing attention to human 
errors as they occur. 
 Its objective is to achieve “Zero Defects”.
WHY IS IT IMPORTANT ? 
 Poka Yoke refers to the technique which can drive the 
defects out of the products and improve quality and 
reliability. 
 By eliminating the defects at the source, the cost of 
mistakes within a company is reduced.
EXAMPLE OF AN ELEVATOR 
 A traditional lift set up by an engineer in a building 
has maximum weight capacity is 200 kg. 
Person 1=60 kg 
Person 2=90kg 
Person 3=50 kg 
LIFT 
CAPACITY=TOTAL 
WEIGHT
CONTINUED… 
 If more people enter the lift then weight will increase, 
which increases the possibility of break down of 
lift’s wire because there is no warning mechanism on 
excess weight.
CONTINUED… 
 Latest lifts are very advanced, because when it is 
over weight the alarm will start & indicate light , until 
weight is not reduced, this is done through Poka yoke. 
 And lift will move without any fault. 
Here 
people want to use lift but they can’t use it, why 
? 
Because lift can’t run on overload. This is good 
for our safety, so here no any defect comes out . 
This is also called zero defect.
KEY PRINCIPLE 
Error is inevitable, but it should be eliminated. 
Before Poka Yoke After Poka Yoke
TYPES OF POKA YOKE 
Dr.Shingo recognized 3 types of Poka-yoke for 
detecting and preventing errors: 
 The Contact Method 
 The fixed value (or constant number) 
 The motion step (or sequence method)
THE CONTACT METHOD 
This method identifies product defects by testing the 
product’s shape,size,color or other physical attributes. 
Example:
THE FIXED VALUE METHOD 
This method alerts the operator if a certain number of 
movements are not made. 
Example: Control or shut out Warning & Attention
THE MOTION STEP METHOD 
This method determines whether the prescribed steps 
of the process have been followed. 
Example: Control or shut out Warning & Attention
INEXPENSIVE 
SIMPLE FAIL-SAFE MACHINE 
FOR 
QUALITY CONTROL 
SENSOR
FAIL-SAFE DEVICE 
 Principle of Fail safe Device 
It is designed in a way, so that when a failure does 
occur, the device will tend to fail in a predictable 
manner to a “safe state”. 
Fail safe device is distinguished from Fail Secure 
device.
FAIL SAFE DEVICE IS DISTINGUISHED FROM 
FAIL SECURE DEVICE. 
Fail-safe means that a device will not endanger lives or 
properties when it fails. 
Fail-secure means that access or data will not fall into 
the wrong hands in a failure. 
For example, if a building catches fire, fail-safe systems 
would unlock doors to ensure quick escape and allow 
firefighters inside, while fail-secure would lock doors to 
prevent unauthorized access to the building.
SENSORS FOR DETECTING DEFECTS 
For detecting defects in products, the sensor which is 
used is “Vision Sensors” also known as Smart 
Inspection Cameras.
WHY VISION SENSORS? 
Repetitive inspection of production lines is a labor-intensive 
activity that is being replaced by vision 
sensors which are not only cost-effective, but give 
consistency of judgment and documented traceability 
to the inspection process.
HOW DO THEY WORK? 
 Vision sensors have huge numbers of photoelectric cells that 
capture a complete image. 
 After capturing the image, the vision sensor compares some, 
or a number of characteristics of the image to the reference 
image stored in its memory. 
 It can inspect asymmetrical objects no matter how they are 
rotated within a full 360o range. 
 Reference image is set using software inspection tools built-into 
the sensor. 
 The sensor has been programmed to enable it to locate, analyse 
and measure the image and then compare the results with 
preset pass or fail criteria. 
 The result is communicated over Ethernet ports.
CHECKER VISION SENSORS 
 Cognex Checker vision sensors are very good at detecting 
defective parts reliably on the fastest production lines. 
Equally important is the vision sensor’s ability to stop the 
rejection of good parts. That’s exactly what Checker does. 
 Checker Vision Sensor is an industrial sensor with built-in 
camera,processors,lighting,optics capable of detecting and 
inspecting up to 6000 parts per min. 
 Developed by Cognex. 
 Easy to setup and operate. 
 Not expensive.
VISION SENSOR INSPECTIONS 
The image display simplifies setup by 
enabling you to see what the sensor sees.
CHECKER’S UNIQUE INSPECTION SENSORS 
PROVIDE THE MOST RELIABLE WAY TO 
INSPECT YOUR PART 
 Brightness sensors look for dark or light areas on the part. 
 Width sensors measure the width of a part, component, or 
feature. 
 Height sensors measure the height of a part, component, or 
feature. 
 Diameter sensors measure the diameter of a part, component, 
or feature. 
 Pattern presence sensors include “robust” and “fast” modes 
to verify the presence of patterns.
VISION SENSOR MEASUREMENT 
TOOLS IN ACTION 
 Checker vision sensors have photoelectric sensors 
and even other vision sensors has ability to determine 
dimensions of parts and deliver simple pass/fail 
results. 
 Example given here – verifying component thickness 
after the machining of an automotive part component.
 An automotive part component comes down a belt, is 
machined on the production line, and moves to the 
inspection station. 
 The part can be in any position on the belt because 
Checker is always looking for the part so there is no 
need for the part to be fixture precisely. 
 This means that you don’t have to adjust the sensor 
constantly (like you do with photoelectric sensors). 
 Once the part is found, the width, height and diameter 
measurement tools quickly measure the part and 
produce a pass/fail result.
Correct 
Thickness 
Incorrect 
Thickness 
In this example, Checker is performing part 
inspections that human eyes simply cannot. The 
result for the user is 100% defect detection, more 
quality control, and lower production costs.
APPLICATIONS 
 Label Alignment 
Objective: To verify that the labels on a bottle are aligned 
with each other and both are straight. 
Sensors: Presence PLUS P4 EDGE, with LCF08 lens, 
HFFW12DC tubular fluorescent light, PLC used as a trigger. 
 Food Packing Inspection 
Objective: To inspect boxes of chocolates for missing or 
damaged pieces to make sure each nest contains a candy and 
that the candies are not damaged. 
Sensors: Presence PLUS P4 OMNI with LEDR80x80M light 
and LCF16LMP lens.
CONCLUSION 
In many companies,poka yoke devices are created 
every week or even everyday. The ‘Kaizen’ idea 
implies that they don’t have to be expensive and 
should be simple. Every company, office or hospital, 
certain mistakes are unwanted, but where imperfect 
beings work or live, should give the idea of Poka-yoke. 
It might make a big difference.
REFERENCES 
 http://www.tektron.ie/vision_sensors.htm 
 http://www.cognex.com/Connect/BlogMain.aspx?id= 
12365&blogid=1825 
 http://en.wikipedia.org/wiki/Fail-safe 
 www.hubpages.com 
 http://www.thetoyotasystem.com/lean_inventions/pok 
a_yoke-you-can%E2%80%99t-go-wrong.php
THANK YOU

Weitere ähnliche Inhalte

Was ist angesagt?

Was ist angesagt? (20)

Poka yoke
Poka yokePoka yoke
Poka yoke
 
POKA-YOKE - A Lean Strategy to Mistake Proofing
POKA-YOKE - A Lean Strategy to Mistake ProofingPOKA-YOKE - A Lean Strategy to Mistake Proofing
POKA-YOKE - A Lean Strategy to Mistake Proofing
 
Poka yoke hindi
Poka yoke hindiPoka yoke hindi
Poka yoke hindi
 
Poka yoke (mistake proofing)
Poka yoke (mistake proofing)Poka yoke (mistake proofing)
Poka yoke (mistake proofing)
 
Javier Garcia - Verdugo Sanchez - The Poka - Yoke System
Javier Garcia - Verdugo Sanchez -  The Poka - Yoke SystemJavier Garcia - Verdugo Sanchez -  The Poka - Yoke System
Javier Garcia - Verdugo Sanchez - The Poka - Yoke System
 
mistake proofing
mistake proofingmistake proofing
mistake proofing
 
Poka yoke
Poka yokePoka yoke
Poka yoke
 
Mistake proofing for web
Mistake proofing for webMistake proofing for web
Mistake proofing for web
 
Poka Yoka
Poka Yoka Poka Yoka
Poka Yoka
 
Poka Yoke Final Ppt
Poka Yoke  Final PptPoka Yoke  Final Ppt
Poka Yoke Final Ppt
 
PPT ON DESIGN FAILURE MODE AND EFFECT ANALYSIS (DFMEA)
PPT ON DESIGN FAILURE MODE AND EFFECT ANALYSIS (DFMEA)PPT ON DESIGN FAILURE MODE AND EFFECT ANALYSIS (DFMEA)
PPT ON DESIGN FAILURE MODE AND EFFECT ANALYSIS (DFMEA)
 
Poka yoke
Poka yokePoka yoke
Poka yoke
 
Poka yoke
Poka yokePoka yoke
Poka yoke
 
What is pokeyoke
What is pokeyokeWhat is pokeyoke
What is pokeyoke
 
Poka yoke
Poka yokePoka yoke
Poka yoke
 
Mistake proofing
Mistake proofingMistake proofing
Mistake proofing
 
How to Reduce Changeover Time and Increase Throughput
How to Reduce Changeover Time and Increase ThroughputHow to Reduce Changeover Time and Increase Throughput
How to Reduce Changeover Time and Increase Throughput
 
Advanced Pfmea
Advanced PfmeaAdvanced Pfmea
Advanced Pfmea
 
POKA-YOKE REPORT IN PDF FORM
POKA-YOKE REPORT IN PDF FORMPOKA-YOKE REPORT IN PDF FORM
POKA-YOKE REPORT IN PDF FORM
 
Poka Yoke
Poka YokePoka Yoke
Poka Yoke
 

Andere mochten auch (19)

Gripo 2 poka yoke
Gripo 2 poka   yokeGripo 2 poka   yoke
Gripo 2 poka yoke
 
5.3 poka-yoke
5.3 poka-yoke5.3 poka-yoke
5.3 poka-yoke
 
Seminar ppt
Seminar pptSeminar ppt
Seminar ppt
 
NG BB 46 Mistake Proofing
NG BB 46 Mistake ProofingNG BB 46 Mistake Proofing
NG BB 46 Mistake Proofing
 
Fdi india
Fdi   indiaFdi   india
Fdi india
 
Poke yoke
Poke yokePoke yoke
Poke yoke
 
Brainstorming
BrainstormingBrainstorming
Brainstorming
 
Error proofing
Error proofingError proofing
Error proofing
 
poka yoke seminar report with index
poka yoke seminar report with indexpoka yoke seminar report with index
poka yoke seminar report with index
 
Presentacion poka yoke
Presentacion poka yokePresentacion poka yoke
Presentacion poka yoke
 
Office Mistake Sample
Office Mistake SampleOffice Mistake Sample
Office Mistake Sample
 
Toyota Production System (brief)
Toyota Production System (brief)Toyota Production System (brief)
Toyota Production System (brief)
 
Poke Yoke
Poke Yoke Poke Yoke
Poke Yoke
 
Poka yoke kamal
Poka yoke kamalPoka yoke kamal
Poka yoke kamal
 
Poka-Yoke in Software Testing
Poka-Yoke in Software TestingPoka-Yoke in Software Testing
Poka-Yoke in Software Testing
 
Poka yoke愚巧防呆法
Poka yoke愚巧防呆法Poka yoke愚巧防呆法
Poka yoke愚巧防呆法
 
Poka yoke
Poka yokePoka yoke
Poka yoke
 
Pokayoke tera quality
Pokayoke tera qualityPokayoke tera quality
Pokayoke tera quality
 
Poka yoke or mistake proofing
Poka yoke or mistake proofingPoka yoke or mistake proofing
Poka yoke or mistake proofing
 

Ähnlich wie Poke-Yoke or Mistake-proofing

Poka yoke abstract
Poka yoke abstractPoka yoke abstract
Poka yoke abstractvinnydhakshi
 
IRJET- Study on: Advancement of Smartphone Security by using Iris Scan Detection
IRJET- Study on: Advancement of Smartphone Security by using Iris Scan DetectionIRJET- Study on: Advancement of Smartphone Security by using Iris Scan Detection
IRJET- Study on: Advancement of Smartphone Security by using Iris Scan DetectionIRJET Journal
 
Implementation of Poka Yoke and Safety Push Button in Rubber Grommet and Slee...
Implementation of Poka Yoke and Safety Push Button in Rubber Grommet and Slee...Implementation of Poka Yoke and Safety Push Button in Rubber Grommet and Slee...
Implementation of Poka Yoke and Safety Push Button in Rubber Grommet and Slee...ijtsrd
 
How to easily improve quality using automated visual inspection
How to easily improve quality using automated visual inspectionHow to easily improve quality using automated visual inspection
How to easily improve quality using automated visual inspectionDesign World
 
8+jidoka+and+quick+changeover+winter+2016+003 (1)
8+jidoka+and+quick+changeover+winter+2016+003 (1)8+jidoka+and+quick+changeover+winter+2016+003 (1)
8+jidoka+and+quick+changeover+winter+2016+003 (1)Vaibhav Mishra
 
Equipment Calibration | Arrelic Insights
Equipment Calibration | Arrelic InsightsEquipment Calibration | Arrelic Insights
Equipment Calibration | Arrelic InsightsArrelic
 
Poka, yoke & jidoka
Poka, yoke & jidokaPoka, yoke & jidoka
Poka, yoke & jidokaAkash Patel
 
Poka Yoke - Fundamentals by Praneet Surti
Poka Yoke - Fundamentals by Praneet SurtiPoka Yoke - Fundamentals by Praneet Surti
Poka Yoke - Fundamentals by Praneet SurtiPraneet Surti
 
Poka_Yoke_Beginner_s_Guide_by_Praneet_Surti_1711499282.pdf
Poka_Yoke_Beginner_s_Guide_by_Praneet_Surti_1711499282.pdfPoka_Yoke_Beginner_s_Guide_by_Praneet_Surti_1711499282.pdf
Poka_Yoke_Beginner_s_Guide_by_Praneet_Surti_1711499282.pdffernandagomez120593
 
Iqc incoming quality control
Iqc incoming quality controlIqc incoming quality control
Iqc incoming quality controlAshutoshKumar1262
 
Poka - Yoke (1).pptx
Poka - Yoke (1).pptxPoka - Yoke (1).pptx
Poka - Yoke (1).pptxtrainingpune1
 
Design and Development of Smart Wheelchair for Physically Disable people
Design and Development of Smart Wheelchair for Physically Disable peopleDesign and Development of Smart Wheelchair for Physically Disable people
Design and Development of Smart Wheelchair for Physically Disable peopleIRJET Journal
 
EYE TRACKING TECHNOLOGY
EYE TRACKING TECHNOLOGYEYE TRACKING TECHNOLOGY
EYE TRACKING TECHNOLOGYgeothomas18
 
major project presentation.pptx
major project presentation.pptxmajor project presentation.pptx
major project presentation.pptxSimranPal17
 
Equipment Calibration | Arrelic Insights
Equipment Calibration | Arrelic InsightsEquipment Calibration | Arrelic Insights
Equipment Calibration | Arrelic InsightsArrelic
 

Ähnlich wie Poke-Yoke or Mistake-proofing (20)

Poka yoke abstract
Poka yoke abstractPoka yoke abstract
Poka yoke abstract
 
IRJET- Study on: Advancement of Smartphone Security by using Iris Scan Detection
IRJET- Study on: Advancement of Smartphone Security by using Iris Scan DetectionIRJET- Study on: Advancement of Smartphone Security by using Iris Scan Detection
IRJET- Study on: Advancement of Smartphone Security by using Iris Scan Detection
 
poka yoke
poka yokepoka yoke
poka yoke
 
Implementation of Poka Yoke and Safety Push Button in Rubber Grommet and Slee...
Implementation of Poka Yoke and Safety Push Button in Rubber Grommet and Slee...Implementation of Poka Yoke and Safety Push Button in Rubber Grommet and Slee...
Implementation of Poka Yoke and Safety Push Button in Rubber Grommet and Slee...
 
How to easily improve quality using automated visual inspection
How to easily improve quality using automated visual inspectionHow to easily improve quality using automated visual inspection
How to easily improve quality using automated visual inspection
 
8+jidoka+and+quick+changeover+winter+2016+003 (1)
8+jidoka+and+quick+changeover+winter+2016+003 (1)8+jidoka+and+quick+changeover+winter+2016+003 (1)
8+jidoka+and+quick+changeover+winter+2016+003 (1)
 
Qc presentation
Qc presentationQc presentation
Qc presentation
 
POKA YOKE.pptx
POKA YOKE.pptxPOKA YOKE.pptx
POKA YOKE.pptx
 
Equipment Calibration | Arrelic Insights
Equipment Calibration | Arrelic InsightsEquipment Calibration | Arrelic Insights
Equipment Calibration | Arrelic Insights
 
Poka, yoke & jidoka
Poka, yoke & jidokaPoka, yoke & jidoka
Poka, yoke & jidoka
 
Poka Yoke - Fundamentals by Praneet Surti
Poka Yoke - Fundamentals by Praneet SurtiPoka Yoke - Fundamentals by Praneet Surti
Poka Yoke - Fundamentals by Praneet Surti
 
Poka_Yoke_Beginner_s_Guide_by_Praneet_Surti_1711499282.pdf
Poka_Yoke_Beginner_s_Guide_by_Praneet_Surti_1711499282.pdfPoka_Yoke_Beginner_s_Guide_by_Praneet_Surti_1711499282.pdf
Poka_Yoke_Beginner_s_Guide_by_Praneet_Surti_1711499282.pdf
 
Sensor Garage Door.pdf
Sensor Garage Door.pdfSensor Garage Door.pdf
Sensor Garage Door.pdf
 
Iqc incoming quality control
Iqc incoming quality controlIqc incoming quality control
Iqc incoming quality control
 
Poka - Yoke (1).pptx
Poka - Yoke (1).pptxPoka - Yoke (1).pptx
Poka - Yoke (1).pptx
 
Design and Development of Smart Wheelchair for Physically Disable people
Design and Development of Smart Wheelchair for Physically Disable peopleDesign and Development of Smart Wheelchair for Physically Disable people
Design and Development of Smart Wheelchair for Physically Disable people
 
EYE TRACKING TECHNOLOGY
EYE TRACKING TECHNOLOGYEYE TRACKING TECHNOLOGY
EYE TRACKING TECHNOLOGY
 
major project presentation.pptx
major project presentation.pptxmajor project presentation.pptx
major project presentation.pptx
 
FYP2016_NZ1504S
FYP2016_NZ1504SFYP2016_NZ1504S
FYP2016_NZ1504S
 
Equipment Calibration | Arrelic Insights
Equipment Calibration | Arrelic InsightsEquipment Calibration | Arrelic Insights
Equipment Calibration | Arrelic Insights
 

Mehr von Akshita Pillai

Mehr von Akshita Pillai (6)

Cake shop billing system
Cake shop billing systemCake shop billing system
Cake shop billing system
 
Ransomware
RansomwareRansomware
Ransomware
 
Piggybacking
PiggybackingPiggybacking
Piggybacking
 
Monster Blood,GOOSEBUMPS
Monster Blood,GOOSEBUMPSMonster Blood,GOOSEBUMPS
Monster Blood,GOOSEBUMPS
 
My seminar on bluejacking
My seminar on bluejackingMy seminar on bluejacking
My seminar on bluejacking
 
American sign language
American sign languageAmerican sign language
American sign language
 

Kürzlich hochgeladen

QCon London: Mastering long-running processes in modern architectures
QCon London: Mastering long-running processes in modern architecturesQCon London: Mastering long-running processes in modern architectures
QCon London: Mastering long-running processes in modern architecturesBernd Ruecker
 
MuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotes
MuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotesMuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotes
MuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotesManik S Magar
 
Infrared simulation and processing on Nvidia platforms
Infrared simulation and processing on Nvidia platformsInfrared simulation and processing on Nvidia platforms
Infrared simulation and processing on Nvidia platformsYoss Cohen
 
Testing tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examplesTesting tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examplesKari Kakkonen
 
Digital Tools & AI in Career Development
Digital Tools & AI in Career DevelopmentDigital Tools & AI in Career Development
Digital Tools & AI in Career DevelopmentMahmoud Rabie
 
Bridging Between CAD & GIS: 6 Ways to Automate Your Data Integration
Bridging Between CAD & GIS:  6 Ways to Automate Your Data IntegrationBridging Between CAD & GIS:  6 Ways to Automate Your Data Integration
Bridging Between CAD & GIS: 6 Ways to Automate Your Data Integrationmarketing932765
 
Tampa BSides - The No BS SOC (slides from April 6, 2024 talk)
Tampa BSides - The No BS SOC (slides from April 6, 2024 talk)Tampa BSides - The No BS SOC (slides from April 6, 2024 talk)
Tampa BSides - The No BS SOC (slides from April 6, 2024 talk)Mark Simos
 
Potential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsPotential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsRavi Sanghani
 
[Webinar] SpiraTest - Setting New Standards in Quality Assurance
[Webinar] SpiraTest - Setting New Standards in Quality Assurance[Webinar] SpiraTest - Setting New Standards in Quality Assurance
[Webinar] SpiraTest - Setting New Standards in Quality AssuranceInflectra
 
React JS; all concepts. Contains React Features, JSX, functional & Class comp...
React JS; all concepts. Contains React Features, JSX, functional & Class comp...React JS; all concepts. Contains React Features, JSX, functional & Class comp...
React JS; all concepts. Contains React Features, JSX, functional & Class comp...Karmanjay Verma
 
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...Nikki Chapple
 
Assure Ecommerce and Retail Operations Uptime with ThousandEyes
Assure Ecommerce and Retail Operations Uptime with ThousandEyesAssure Ecommerce and Retail Operations Uptime with ThousandEyes
Assure Ecommerce and Retail Operations Uptime with ThousandEyesThousandEyes
 
Manual 508 Accessibility Compliance Audit
Manual 508 Accessibility Compliance AuditManual 508 Accessibility Compliance Audit
Manual 508 Accessibility Compliance AuditSkynet Technologies
 
JET Technology Labs White Paper for Virtualized Security and Encryption Techn...
JET Technology Labs White Paper for Virtualized Security and Encryption Techn...JET Technology Labs White Paper for Virtualized Security and Encryption Techn...
JET Technology Labs White Paper for Virtualized Security and Encryption Techn...amber724300
 
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...Wes McKinney
 
Glenn Lazarus- Why Your Observability Strategy Needs Security Observability
Glenn Lazarus- Why Your Observability Strategy Needs Security ObservabilityGlenn Lazarus- Why Your Observability Strategy Needs Security Observability
Glenn Lazarus- Why Your Observability Strategy Needs Security Observabilityitnewsafrica
 
All These Sophisticated Attacks, Can We Really Detect Them - PDF
All These Sophisticated Attacks, Can We Really Detect Them - PDFAll These Sophisticated Attacks, Can We Really Detect Them - PDF
All These Sophisticated Attacks, Can We Really Detect Them - PDFMichael Gough
 
Connecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfConnecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfNeo4j
 
Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...
Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...
Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...panagenda
 

Kürzlich hochgeladen (20)

QCon London: Mastering long-running processes in modern architectures
QCon London: Mastering long-running processes in modern architecturesQCon London: Mastering long-running processes in modern architectures
QCon London: Mastering long-running processes in modern architectures
 
How Tech Giants Cut Corners to Harvest Data for A.I.
How Tech Giants Cut Corners to Harvest Data for A.I.How Tech Giants Cut Corners to Harvest Data for A.I.
How Tech Giants Cut Corners to Harvest Data for A.I.
 
MuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotes
MuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotesMuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotes
MuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotes
 
Infrared simulation and processing on Nvidia platforms
Infrared simulation and processing on Nvidia platformsInfrared simulation and processing on Nvidia platforms
Infrared simulation and processing on Nvidia platforms
 
Testing tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examplesTesting tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examples
 
Digital Tools & AI in Career Development
Digital Tools & AI in Career DevelopmentDigital Tools & AI in Career Development
Digital Tools & AI in Career Development
 
Bridging Between CAD & GIS: 6 Ways to Automate Your Data Integration
Bridging Between CAD & GIS:  6 Ways to Automate Your Data IntegrationBridging Between CAD & GIS:  6 Ways to Automate Your Data Integration
Bridging Between CAD & GIS: 6 Ways to Automate Your Data Integration
 
Tampa BSides - The No BS SOC (slides from April 6, 2024 talk)
Tampa BSides - The No BS SOC (slides from April 6, 2024 talk)Tampa BSides - The No BS SOC (slides from April 6, 2024 talk)
Tampa BSides - The No BS SOC (slides from April 6, 2024 talk)
 
Potential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsPotential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and Insights
 
[Webinar] SpiraTest - Setting New Standards in Quality Assurance
[Webinar] SpiraTest - Setting New Standards in Quality Assurance[Webinar] SpiraTest - Setting New Standards in Quality Assurance
[Webinar] SpiraTest - Setting New Standards in Quality Assurance
 
React JS; all concepts. Contains React Features, JSX, functional & Class comp...
React JS; all concepts. Contains React Features, JSX, functional & Class comp...React JS; all concepts. Contains React Features, JSX, functional & Class comp...
React JS; all concepts. Contains React Features, JSX, functional & Class comp...
 
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...
 
Assure Ecommerce and Retail Operations Uptime with ThousandEyes
Assure Ecommerce and Retail Operations Uptime with ThousandEyesAssure Ecommerce and Retail Operations Uptime with ThousandEyes
Assure Ecommerce and Retail Operations Uptime with ThousandEyes
 
Manual 508 Accessibility Compliance Audit
Manual 508 Accessibility Compliance AuditManual 508 Accessibility Compliance Audit
Manual 508 Accessibility Compliance Audit
 
JET Technology Labs White Paper for Virtualized Security and Encryption Techn...
JET Technology Labs White Paper for Virtualized Security and Encryption Techn...JET Technology Labs White Paper for Virtualized Security and Encryption Techn...
JET Technology Labs White Paper for Virtualized Security and Encryption Techn...
 
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
 
Glenn Lazarus- Why Your Observability Strategy Needs Security Observability
Glenn Lazarus- Why Your Observability Strategy Needs Security ObservabilityGlenn Lazarus- Why Your Observability Strategy Needs Security Observability
Glenn Lazarus- Why Your Observability Strategy Needs Security Observability
 
All These Sophisticated Attacks, Can We Really Detect Them - PDF
All These Sophisticated Attacks, Can We Really Detect Them - PDFAll These Sophisticated Attacks, Can We Really Detect Them - PDF
All These Sophisticated Attacks, Can We Really Detect Them - PDF
 
Connecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfConnecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdf
 
Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...
Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...
Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...
 

Poke-Yoke or Mistake-proofing

  • 1. SUBMITTED BY: AKSHITA PILLAI MCAIIIrd SEM.
  • 2. CONTENTS • History • What is Poka Yoke • Why is it important? • Example • Key Principle • Types of Poka Yoke • Poka Yoke System Design • Fail Safe Device/Machine • Sensor for detecting defects • Reason of using vision sensor and its working • Cognex-Checker Vision Sensor • Vision Sensor Inspections • Vision Sensor example in motion • Conclusion • References
  • 3. POKA YOKE (yokeru) “Mistake” “Avoid”
  • 4. HISTORY  This term Poka-Yoke was adopted by Dr.Shigeo Shingo as part of the Toyota Production System in 1960.  It was originally described as “baka-yoke”,but this name mean “Fool Proofing", so the name was changed to the Poka-Yoke.
  • 5. WHAT IS POKA-YOKE?  Poka-Yoke is a Quality Assurance Technique, its purpose is to eliminate the product defects by preventing, correcting or drawing attention to human errors as they occur.  Its objective is to achieve “Zero Defects”.
  • 6. WHY IS IT IMPORTANT ?  Poka Yoke refers to the technique which can drive the defects out of the products and improve quality and reliability.  By eliminating the defects at the source, the cost of mistakes within a company is reduced.
  • 7. EXAMPLE OF AN ELEVATOR  A traditional lift set up by an engineer in a building has maximum weight capacity is 200 kg. Person 1=60 kg Person 2=90kg Person 3=50 kg LIFT CAPACITY=TOTAL WEIGHT
  • 8. CONTINUED…  If more people enter the lift then weight will increase, which increases the possibility of break down of lift’s wire because there is no warning mechanism on excess weight.
  • 9. CONTINUED…  Latest lifts are very advanced, because when it is over weight the alarm will start & indicate light , until weight is not reduced, this is done through Poka yoke.  And lift will move without any fault. Here people want to use lift but they can’t use it, why ? Because lift can’t run on overload. This is good for our safety, so here no any defect comes out . This is also called zero defect.
  • 10. KEY PRINCIPLE Error is inevitable, but it should be eliminated. Before Poka Yoke After Poka Yoke
  • 11. TYPES OF POKA YOKE Dr.Shingo recognized 3 types of Poka-yoke for detecting and preventing errors:  The Contact Method  The fixed value (or constant number)  The motion step (or sequence method)
  • 12. THE CONTACT METHOD This method identifies product defects by testing the product’s shape,size,color or other physical attributes. Example:
  • 13. THE FIXED VALUE METHOD This method alerts the operator if a certain number of movements are not made. Example: Control or shut out Warning & Attention
  • 14. THE MOTION STEP METHOD This method determines whether the prescribed steps of the process have been followed. Example: Control or shut out Warning & Attention
  • 15.
  • 16. INEXPENSIVE SIMPLE FAIL-SAFE MACHINE FOR QUALITY CONTROL SENSOR
  • 17. FAIL-SAFE DEVICE  Principle of Fail safe Device It is designed in a way, so that when a failure does occur, the device will tend to fail in a predictable manner to a “safe state”. Fail safe device is distinguished from Fail Secure device.
  • 18. FAIL SAFE DEVICE IS DISTINGUISHED FROM FAIL SECURE DEVICE. Fail-safe means that a device will not endanger lives or properties when it fails. Fail-secure means that access or data will not fall into the wrong hands in a failure. For example, if a building catches fire, fail-safe systems would unlock doors to ensure quick escape and allow firefighters inside, while fail-secure would lock doors to prevent unauthorized access to the building.
  • 19. SENSORS FOR DETECTING DEFECTS For detecting defects in products, the sensor which is used is “Vision Sensors” also known as Smart Inspection Cameras.
  • 20. WHY VISION SENSORS? Repetitive inspection of production lines is a labor-intensive activity that is being replaced by vision sensors which are not only cost-effective, but give consistency of judgment and documented traceability to the inspection process.
  • 21. HOW DO THEY WORK?  Vision sensors have huge numbers of photoelectric cells that capture a complete image.  After capturing the image, the vision sensor compares some, or a number of characteristics of the image to the reference image stored in its memory.  It can inspect asymmetrical objects no matter how they are rotated within a full 360o range.  Reference image is set using software inspection tools built-into the sensor.  The sensor has been programmed to enable it to locate, analyse and measure the image and then compare the results with preset pass or fail criteria.  The result is communicated over Ethernet ports.
  • 22. CHECKER VISION SENSORS  Cognex Checker vision sensors are very good at detecting defective parts reliably on the fastest production lines. Equally important is the vision sensor’s ability to stop the rejection of good parts. That’s exactly what Checker does.  Checker Vision Sensor is an industrial sensor with built-in camera,processors,lighting,optics capable of detecting and inspecting up to 6000 parts per min.  Developed by Cognex.  Easy to setup and operate.  Not expensive.
  • 23. VISION SENSOR INSPECTIONS The image display simplifies setup by enabling you to see what the sensor sees.
  • 24. CHECKER’S UNIQUE INSPECTION SENSORS PROVIDE THE MOST RELIABLE WAY TO INSPECT YOUR PART  Brightness sensors look for dark or light areas on the part.  Width sensors measure the width of a part, component, or feature.  Height sensors measure the height of a part, component, or feature.  Diameter sensors measure the diameter of a part, component, or feature.  Pattern presence sensors include “robust” and “fast” modes to verify the presence of patterns.
  • 25. VISION SENSOR MEASUREMENT TOOLS IN ACTION  Checker vision sensors have photoelectric sensors and even other vision sensors has ability to determine dimensions of parts and deliver simple pass/fail results.  Example given here – verifying component thickness after the machining of an automotive part component.
  • 26.  An automotive part component comes down a belt, is machined on the production line, and moves to the inspection station.  The part can be in any position on the belt because Checker is always looking for the part so there is no need for the part to be fixture precisely.  This means that you don’t have to adjust the sensor constantly (like you do with photoelectric sensors).  Once the part is found, the width, height and diameter measurement tools quickly measure the part and produce a pass/fail result.
  • 27. Correct Thickness Incorrect Thickness In this example, Checker is performing part inspections that human eyes simply cannot. The result for the user is 100% defect detection, more quality control, and lower production costs.
  • 28. APPLICATIONS  Label Alignment Objective: To verify that the labels on a bottle are aligned with each other and both are straight. Sensors: Presence PLUS P4 EDGE, with LCF08 lens, HFFW12DC tubular fluorescent light, PLC used as a trigger.  Food Packing Inspection Objective: To inspect boxes of chocolates for missing or damaged pieces to make sure each nest contains a candy and that the candies are not damaged. Sensors: Presence PLUS P4 OMNI with LEDR80x80M light and LCF16LMP lens.
  • 29. CONCLUSION In many companies,poka yoke devices are created every week or even everyday. The ‘Kaizen’ idea implies that they don’t have to be expensive and should be simple. Every company, office or hospital, certain mistakes are unwanted, but where imperfect beings work or live, should give the idea of Poka-yoke. It might make a big difference.
  • 30. REFERENCES  http://www.tektron.ie/vision_sensors.htm  http://www.cognex.com/Connect/BlogMain.aspx?id= 12365&blogid=1825  http://en.wikipedia.org/wiki/Fail-safe  www.hubpages.com  http://www.thetoyotasystem.com/lean_inventions/pok a_yoke-you-can%E2%80%99t-go-wrong.php