SlideShare ist ein Scribd-Unternehmen logo
1 von 12
Process Capability Analysis
Introduction
• “Practice makes man perfect”, but not even a skilled person can do the job
perfectly without error.
• There is always scope for error, which is inherent to the part/component.
• So there is a term, called as tolerance, which is defined as we go on through
the presentation.
Tolerances
• Tolerance is the maximum error, that can be accepted for a particular
component.
• They are denoted in % or dimension.
• For example: diameter of a shaft should be (50 +/- 1%)mm.This indicates
that the all the shafts in the diameter range (49.5mm,50.5mm) are
accepted.
Causes
for error
Common
causes
Special
Causes
Causes for error
• Common causes can be reduced by using improved machinery, skilled
persons.
• Special causes have to addressed when they occur, they cannot be
predicted, so cannot be reduced or eliminated.
Data Collection
• In our search, we have found that food and drugs industry has the most
extensive quality control techniques.
• So we approached one company (name not to be revealed).
• They have shown us the process testing and statistics of one of their
products.
• The charts are shown, as we are not in liberty to divulge the data.
Cp Index
• A measure of the process potential.
• It is measured using the beside equation.
• Ideal value is infinity, but Cp > 1 is reliable.
• Here “sd” is the standard deviation.
Cp =
𝑈𝑆𝐿 − 𝐿𝑆𝐿
6∗(𝑠𝑑)
Cpk Index
• A measure of the process potential and process centering.
• It is measured using the beside equation.
• Ideal value is infinity, but Cpk > 1 is reliable.
• Here “sd” is the standard deviation.
Cpk =min(
𝑈𝑆𝐿 − 𝑚𝑒𝑎𝑛
3∗(𝑠𝑑)
,
𝑚𝑒𝑎𝑛 −𝐿𝑆𝐿
3∗(𝑠𝑑)
)
CPU CPL
Significance of the indices
• Cpk is taken the minimum value to show where the defects are prominent. If
CPU is minimum, then the defects are more towards upper specification
side and similarly for CPL
• If Cp = Cpk, then the process is called a “CENTERED PROCESS”.
• Generally we find off-centered processes usually.
ThankYou
B S V P Surya Teja, 2012A4PS039H
K Rohit, 2012A4PS377H

Weitere ähnliche Inhalte

Was ist angesagt?

Statistical process control
Statistical process controlStatistical process control
Statistical process control
ANOOPA NARAYANAN
 
7 qc tools training material[1]
7 qc tools training material[1]7 qc tools training material[1]
7 qc tools training material[1]
gurmukh singh
 
Control charts for attributes
Control charts for attributesControl charts for attributes
Control charts for attributes
Buddy Krishna
 

Was ist angesagt? (20)

Process Capability
Process CapabilityProcess Capability
Process Capability
 
Statistical Process control
Statistical Process controlStatistical Process control
Statistical Process control
 
statistical process control
 statistical process control statistical process control
statistical process control
 
Process capability
Process capabilityProcess capability
Process capability
 
Statistical process control
Statistical process controlStatistical process control
Statistical process control
 
Statistical process control
Statistical process controlStatistical process control
Statistical process control
 
Statstical process control
Statstical process controlStatstical process control
Statstical process control
 
MSA presentation
MSA presentationMSA presentation
MSA presentation
 
Statistical Process Control
Statistical Process ControlStatistical Process Control
Statistical Process Control
 
Statistical process control (spc)
Statistical process control (spc)Statistical process control (spc)
Statistical process control (spc)
 
Control chart ppt
Control chart pptControl chart ppt
Control chart ppt
 
Six Sigma Principle and Methods
Six Sigma Principle and MethodsSix Sigma Principle and Methods
Six Sigma Principle and Methods
 
Statistical Process Control,Control Chart and Process Capability
Statistical Process Control,Control Chart and Process CapabilityStatistical Process Control,Control Chart and Process Capability
Statistical Process Control,Control Chart and Process Capability
 
Operating characteristic curves
Operating characteristic curvesOperating characteristic curves
Operating characteristic curves
 
7 qc tools training material[1]
7 qc tools training material[1]7 qc tools training material[1]
7 qc tools training material[1]
 
Six Sigma : Process Capability
Six Sigma : Process CapabilitySix Sigma : Process Capability
Six Sigma : Process Capability
 
Measurement system analysis
Measurement system analysisMeasurement system analysis
Measurement system analysis
 
Control charts for attributes
Control charts for attributesControl charts for attributes
Control charts for attributes
 
Introduction To SPC
Introduction To SPCIntroduction To SPC
Introduction To SPC
 
MSA (GR&R)
MSA (GR&R)MSA (GR&R)
MSA (GR&R)
 

Andere mochten auch

Basic Six Sigma Presentation
Basic Six Sigma PresentationBasic Six Sigma Presentation
Basic Six Sigma Presentation
vivekissar
 
Bayesian inversion of deterministic dynamic causal models
Bayesian inversion of deterministic dynamic causal modelsBayesian inversion of deterministic dynamic causal models
Bayesian inversion of deterministic dynamic causal models
khbrodersen
 
Chap 9 A Process Capability & Spc Hk
Chap 9 A Process Capability & Spc HkChap 9 A Process Capability & Spc Hk
Chap 9 A Process Capability & Spc Hk
ajithsrc
 
PWC Case Competition
PWC Case CompetitionPWC Case Competition
PWC Case Competition
Haokun Chen
 

Andere mochten auch (15)

Process Capability[1]
Process Capability[1]Process Capability[1]
Process Capability[1]
 
Six Sigma & Process Capability
Six Sigma & Process CapabilitySix Sigma & Process Capability
Six Sigma & Process Capability
 
Six sigma ppt
Six sigma pptSix sigma ppt
Six sigma ppt
 
Basic Six Sigma Presentation
Basic Six Sigma PresentationBasic Six Sigma Presentation
Basic Six Sigma Presentation
 
Problema café cpk - unidad 4
Problema café cpk - unidad 4Problema café cpk - unidad 4
Problema café cpk - unidad 4
 
6 sigma
6 sigma 6 sigma
6 sigma
 
Hindustan Motors
Hindustan MotorsHindustan Motors
Hindustan Motors
 
Total Quality Human Resource Management(2)
Total Quality Human Resource Management(2)Total Quality Human Resource Management(2)
Total Quality Human Resource Management(2)
 
Lean Systems Engineering
Lean Systems EngineeringLean Systems Engineering
Lean Systems Engineering
 
Bayesian inversion of deterministic dynamic causal models
Bayesian inversion of deterministic dynamic causal modelsBayesian inversion of deterministic dynamic causal models
Bayesian inversion of deterministic dynamic causal models
 
Chap 9 A Process Capability & Spc Hk
Chap 9 A Process Capability & Spc HkChap 9 A Process Capability & Spc Hk
Chap 9 A Process Capability & Spc Hk
 
Pareto Charts
Pareto ChartsPareto Charts
Pareto Charts
 
Pareto principle
Pareto principlePareto principle
Pareto principle
 
PWC Case Competition
PWC Case CompetitionPWC Case Competition
PWC Case Competition
 
Process Capability shift over time
Process Capability shift over timeProcess Capability shift over time
Process Capability shift over time
 

Ähnlich wie Process capability analysis

SPC WithAdrian Adrian Beale
SPC WithAdrian Adrian BealeSPC WithAdrian Adrian Beale
SPC WithAdrian Adrian Beale
Adrian Beale
 
Lean6sigma Project Template
Lean6sigma Project TemplateLean6sigma Project Template
Lean6sigma Project Template
Taco Bakker
 
Process Capability.ppt related to quality
Process Capability.ppt related to qualityProcess Capability.ppt related to quality
Process Capability.ppt related to quality
nikhilyadav365577
 
Spc Lecture
Spc LectureSpc Lecture
Spc Lecture
skrabec
 

Ähnlich wie Process capability analysis (20)

Spc
SpcSpc
Spc
 
SPC WithAdrian Adrian Beale
SPC WithAdrian Adrian BealeSPC WithAdrian Adrian Beale
SPC WithAdrian Adrian Beale
 
6. Quality Control Management.pptx
6. Quality Control Management.pptx6. Quality Control Management.pptx
6. Quality Control Management.pptx
 
Process capability relation between yield and number of parts in assembly und...
Process capability relation between yield and number of parts in assembly und...Process capability relation between yield and number of parts in assembly und...
Process capability relation between yield and number of parts in assembly und...
 
Asq Auto Webinar Spc Common Questions Web
Asq Auto Webinar Spc Common Questions WebAsq Auto Webinar Spc Common Questions Web
Asq Auto Webinar Spc Common Questions Web
 
Process Quality Control Training
Process Quality Control TrainingProcess Quality Control Training
Process Quality Control Training
 
Statistical Process Control
Statistical Process ControlStatistical Process Control
Statistical Process Control
 
Process Capability: Step 5 (Non-Normal Distributions)
Process Capability: Step 5 (Non-Normal Distributions)Process Capability: Step 5 (Non-Normal Distributions)
Process Capability: Step 5 (Non-Normal Distributions)
 
Six Sigma Overview
Six Sigma OverviewSix Sigma Overview
Six Sigma Overview
 
Lean6sigma Project Template
Lean6sigma Project TemplateLean6sigma Project Template
Lean6sigma Project Template
 
Process Capability.ppt related to quality
Process Capability.ppt related to qualityProcess Capability.ppt related to quality
Process Capability.ppt related to quality
 
SATISTICAL PROCESS CONTROL(SPC)
SATISTICAL PROCESS CONTROL(SPC)SATISTICAL PROCESS CONTROL(SPC)
SATISTICAL PROCESS CONTROL(SPC)
 
STATISTICAL PROCESS CONTROL satyam raj.pptx
STATISTICAL PROCESS CONTROL satyam raj.pptxSTATISTICAL PROCESS CONTROL satyam raj.pptx
STATISTICAL PROCESS CONTROL satyam raj.pptx
 
Estimation of process capability 1st yr mpharmacy
Estimation of process capability 1st yr mpharmacyEstimation of process capability 1st yr mpharmacy
Estimation of process capability 1st yr mpharmacy
 
Basics of Capability.ppt
Basics of Capability.pptBasics of Capability.ppt
Basics of Capability.ppt
 
Quality andc apability hand out 091123200010 Phpapp01
Quality andc apability hand out 091123200010 Phpapp01Quality andc apability hand out 091123200010 Phpapp01
Quality andc apability hand out 091123200010 Phpapp01
 
Ppk pp pc ingles
Ppk pp pc inglesPpk pp pc ingles
Ppk pp pc ingles
 
Statistical Process Control - SPC
Statistical Process Control - SPCStatistical Process Control - SPC
Statistical Process Control - SPC
 
Spc Lecture
Spc LectureSpc Lecture
Spc Lecture
 
Statistical Process Control Part 2
Statistical Process Control Part 2Statistical Process Control Part 2
Statistical Process Control Part 2
 

Kürzlich hochgeladen

1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 -  Danh muc Sach Giao Khoa 10 . pdf1029 -  Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdf
QucHHunhnh
 
Beyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactBeyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global Impact
PECB
 

Kürzlich hochgeladen (20)

Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17
 
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
 
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
 
psychiatric nursing HISTORY COLLECTION .docx
psychiatric  nursing HISTORY  COLLECTION  .docxpsychiatric  nursing HISTORY  COLLECTION  .docx
psychiatric nursing HISTORY COLLECTION .docx
 
Role Of Transgenic Animal In Target Validation-1.pptx
Role Of Transgenic Animal In Target Validation-1.pptxRole Of Transgenic Animal In Target Validation-1.pptx
Role Of Transgenic Animal In Target Validation-1.pptx
 
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and Mode
 
Introduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The BasicsIntroduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The Basics
 
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
 
1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 -  Danh muc Sach Giao Khoa 10 . pdf1029 -  Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdf
 
Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17  How to Extend Models Using Mixin ClassesMixin Classes in Odoo 17  How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes
 
Beyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactBeyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global Impact
 
Sociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning ExhibitSociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning Exhibit
 
This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.
 
ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.
 
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptxBasic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy Consulting
 
On National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan FellowsOn National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan Fellows
 
Asian American Pacific Islander Month DDSD 2024.pptx
Asian American Pacific Islander Month DDSD 2024.pptxAsian American Pacific Islander Month DDSD 2024.pptx
Asian American Pacific Islander Month DDSD 2024.pptx
 
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptxINDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
 

Process capability analysis

  • 2. Introduction • “Practice makes man perfect”, but not even a skilled person can do the job perfectly without error. • There is always scope for error, which is inherent to the part/component. • So there is a term, called as tolerance, which is defined as we go on through the presentation.
  • 3. Tolerances • Tolerance is the maximum error, that can be accepted for a particular component. • They are denoted in % or dimension. • For example: diameter of a shaft should be (50 +/- 1%)mm.This indicates that the all the shafts in the diameter range (49.5mm,50.5mm) are accepted.
  • 5. Causes for error • Common causes can be reduced by using improved machinery, skilled persons. • Special causes have to addressed when they occur, they cannot be predicted, so cannot be reduced or eliminated.
  • 6. Data Collection • In our search, we have found that food and drugs industry has the most extensive quality control techniques. • So we approached one company (name not to be revealed). • They have shown us the process testing and statistics of one of their products. • The charts are shown, as we are not in liberty to divulge the data.
  • 7.
  • 8.
  • 9. Cp Index • A measure of the process potential. • It is measured using the beside equation. • Ideal value is infinity, but Cp > 1 is reliable. • Here “sd” is the standard deviation. Cp = 𝑈𝑆𝐿 − 𝐿𝑆𝐿 6∗(𝑠𝑑)
  • 10. Cpk Index • A measure of the process potential and process centering. • It is measured using the beside equation. • Ideal value is infinity, but Cpk > 1 is reliable. • Here “sd” is the standard deviation. Cpk =min( 𝑈𝑆𝐿 − 𝑚𝑒𝑎𝑛 3∗(𝑠𝑑) , 𝑚𝑒𝑎𝑛 −𝐿𝑆𝐿 3∗(𝑠𝑑) ) CPU CPL
  • 11. Significance of the indices • Cpk is taken the minimum value to show where the defects are prominent. If CPU is minimum, then the defects are more towards upper specification side and similarly for CPL • If Cp = Cpk, then the process is called a “CENTERED PROCESS”. • Generally we find off-centered processes usually.
  • 12. ThankYou B S V P Surya Teja, 2012A4PS039H K Rohit, 2012A4PS377H