Six Sigma Quality Engineering - PowerPoint PPT Presentation

About This Presentation
Title:

Six Sigma Quality Engineering

Description:

List the current controls for each cause or failure mode (Prevent/Detect). How are these ... Create Severity, Occurrence, and Detection rating scales. ... – PowerPoint PPT presentation

Number of Views:45
Avg rating:3.0/5.0
Slides: 36
Provided by: csUn9
Learn more at: http://www.csun.edu
Category:

less

Transcript and Presenter's Notes

Title: Six Sigma Quality Engineering


1
Six Sigma Quality Engineering
  • Week 7
  • Analyze Phase

2
Chapter 6 Outline
  • Process Map
  • Inputs characteristics
  • Cause Effect
  • Fishbone Diagram (Minitab)
  • CE Matrix (Excel)
  • Failure Mode Effect Analysis (FMEA)
  • Process Capablity
  • Cpk
  • Cp
  • Minitab Tutorial
  • In this session you will learn how to
  •     Produce X and R charts
  •     Produce histograms with normal curves
  •     Perform a process capability analysis

3
Detailed Process Map Example
4
Characterising Inputs
  • Inputs can be classified as one of three types
  • Controllable (C)
  • Things you can adjust or control during the
    process
  • Speeds, feeds, temperatures, pressures.
  • Standard Operating Procedures (S)
  • Things you always do (in procedures or common
    sense things)
  • Cleaning, safety.
  • Noise (N)
  • Things you cannot control or don not want to
    control(too expensive or difficult)
  • Ambient temperature, humidity, operator...

5
Example
Outputs (Ys) Diameter Taper Surface finish
Inputs (xs) Rotation speed Traverse speed Tool
type Tool sharpness Shaft material Shaft
length Material removal per cut Part
cleanliness Coolant flow Operator Material
variation Ambient temperature Coolant age
C C C C C C C S C N N N S
6
The Eight Steps in Cause and Effect Analysis
  • Define the Effect
  • Identify the Major Categories
  • Generate Ideas
  • Evaluate Ideas
  • Vote for the Most Likely Causes
  • Rank the Causes
  • Verify the Results
  • Recommend Solutions

7
Cause Effect (Fishbone Diagram)
  • Objectives
  • To understand the benefits of Cause Effect
    Analysis
  • To understand how to construct a C E Diagram
  • Analysis
  • A method a work group can use to identify the
    possible causes of a problem
  • A tool to identify the factors that contribute to
    a quality characteristic

8
Uses of C E (Fishbone Diagram)
  • Visual means for tracing a problem to its causes
  • Identifies all the possible causes of a problem
    and how they relate before deciding which ones to
    investigate
  • C E analysis is used as a starting point for
    investigating a problem

9
CE (Fishbone Diagram)
  • Effect
  • The problem or quality characteristic
  • The effect is the outcome of the factors that
    affect it

Effect
10
Causes (Fishbone Diagram)
  • All the factors that could affect the problem or
    the quality characteristic
  • Five Major Categories
  • Materials
  • Methods
  • People
  • Machines
  • Environment

11
Machine
Environment
Effect
People
Methods
Material
12
Cause and Effect (Matrix)
  • Benefit
  • Gain new knowledge and perspectives by sharing
    ideas with others
  • Helps us understand our processes
  • Provides a basis for action
  • Whenever a problem is discovered, using CE
    analysis forces us to take a proactive stance by
    seeking out causes

13
2
1
56
3
4
14
CE Matrix
  • Instructions

This table provides the initial input to the FMEA
and experimentation. When each of the output
variables (requirements) are not correct, that
represents potential "EFFECTS". When each input
variable is not correct, that represents "Failure
Modes". 1. List the process output variables
2. Rate each output on a 1-to-10 scale to
importance to the customer 3. List process input
variables (from the process map) 4. Rate each
input's relationship to each output variable
using a 0, 1, 3, 9 scale 5. Select the high
ranking input variables to start the FMEA
process Determine how each selected input
variable can "go wrong" and place that in the
Failure Mode column of the FMEA.

15
FMEA
  • It is an approach to
  • Identify potential failure for a product or a
    process
  • Estimate risks that are associated with causes
  • Determine actions to reduce risks
  • Evaluate product design validation plan
  • Evaluate process current control plan

16
FMEA types
  • There are two types
  • Process Will focus on Process Inputs
  • Design Will used to analyze product designs
    before they are released to production

17
The use of the FMEA
  • Improve processes before failure occur (Proactive
    approach)
  • Prioritize resources to ensure process
    improvement efforts are beneficial to customers
  • Track and document completion of projects
  • It is a living document. It will be updated and
    reviewed all the time

18
Inputs Outputs to FMEA
  • Inputs
  • Process Map
  • CE Matrix
  • Process History
  • Process technical procedures
  • Outputs
  • Actions list to prevent causes
  • Actions list to detect failure modes
  • Document history of actions taken

19
FMEA step-by-step
  • For each process input, determine the ways in
    which the input can go wrong- the failure modes.

What can go wrong with input
20
FMEA step-by-step
  • For each failure mode associated with the inputs,
    determine the effects of the failures on the
    customer.

What the effect on outputs?
21
FMEA step-by-step
  • Identify potential causes of each failure mode.

What are The causes?
22
FMEA step-by-step
  • List the current controls for each cause or
    failure mode (Prevent/Detect).

How are these Found or prevented?
23
FMEA step-by-step
  • Create Severity, Occurrence, and Detection rating
    scales.
  • Severity of effect- importance of effect on
    customer requirements. It is a safety and other
    risks if failure occurs.
  • 1 Not Severe, 10 Very Severe
  • Occurrence of cause- frequency in which a give
    Cause occurs and creates Failure Mode. Can
    sometimes refer to the frequency of a failure
    mode.
  • 1 Not Likely, 10 Very Likely

24
FMEA step-by-step
  • Create severity, Occurrence, and Detection rating
    scales.
  • Detection- ability to
  • Prevent the causes or failure mode from occurring
    or reduce their rate of occurrence
  • Detect the cause and lead to corrective action
  • Detect the failure mode
  • 1 Likely to Detect, 10 Not Likely at all to
    Detect

25
FMEA step-by-step
  • Risk Priority Number
  • After rating we get the output on an FMEA Risk
    Priority Number. It is calculated as the product
    of Effects, Causes, and Controls
  • RPN Severity X Occurrence X Detection

Effects
Causes
Controls
26
FMEA step-by-step
  • Dynamics of the Risk Priority Number
  • The team defines the rating scales 1-10 for the
    severity, Occurrence, and Detection ratings. The
    team choose the levels and numbers
  • How severe is it Not Severe 1
  • Somewhat
    3
  • Moderately
    5
  • Very Severe
    10

27
FMEA step-by-step
  • Dynamics of the Risk Priority Number
  • The team defines the rating scales 1-10 for the
    severity, Occurrence, and Detection ratings. The
    team choose the levels and numbers
  • How often does it Occur?
  • Never/rarely
    1
  • Sometimes
    3
  • Half the time
    5
  • Always
    10

28
FMEA step-by-step
  • Dynamics of the Risk Priority Number
  • The team defines the rating scales 1-10 for the
    severity, Occurrence, and Detection ratings. The
    team choose the levels and numbers
  • How well can you detect it?
  • Always
    1
  • Sometimes
    3
  • Half the time
    5
  • Never
    10

29
FMEA step-by-step
  • Determine recommended actions to reduce high
    RPNs

What can be done?
30
FMEA step-by-step
  • Take appropriate actions and recalculate RPNs

Assign responsible Parties
31
Process Capability Study
32
Cpk Cp
  • Cpk incorporates information about both the
    process spread and the process mean, so it is a
    measure of how the process is actually
    performing.
  • Cp relates how the process is performing to how
    it should be performing. Cp does not consider the
    location of the process mean, so it tells you
    what capability your process could achieve if
    centered.

33
Process Capability Study
34
Non-normal distributions
  • Use Capability Analysis (Nonnormal) to assess the
    capability of an in-control process when the data
    are from the nonnormal distribution. A capable
    process is able to produce products or services
    that meet specifications.
  • The process must be in control and follows a
    nonnormal distribution before you assess
    capability. If the process is not in control,
    then the capability estimates will be incorrect.
  • Nonnormal capability analysis consists of a
    capability histogram and a table of process
    capability statistics

35
Questions? Comments?
Write a Comment
User Comments (0)
About PowerShow.com