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  • 5/19/2018 Chapter 9 Attribute Control Charts

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    Quality

    Improvement

    PowerPoint presentation to accompany

    Besterfield, Quality Improvement, 9e

    Chapter 9- ControlCharts for Attributes

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    Quality Improvement, 9eDale H. Besterfield

    2013, 2008 by Pearson Higher Education, Inc

    Upper Saddle River, New Jersey 07458 All Rights Reserved

    2

    Outline

    Attribute Control Charts for Nonconforming Units

    Control Charts for Count of Nonconformities

    A Quality Rating System

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    Learning Objectives

    When you have completed this chapter you should: Know limitations of variable control charts and the different

    types of attibute charts.

    Know the objectives of the p chart group and the applicable

    distribution.

    Be able to construct a:

    Fraction defective chart- fixed subgroup size

    Fraction defective chart-variable subgroup size Percent defective chart

    Number defective chart

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    Learning Objectives contd.

    When you have completed this chapter you should: Know how to minimize the effect of variable

    subgroup size.

    Know the applications of the c chart group, theapplicable distribution and two conditions.

    Be able to construct a c chart and a u chart and

    know the difference between them. Know the three classes of defect severity

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    The term Attribute refers to those qualitycharacteristics that conform to specifications

    or do not conform to specifications.

    Attribute are used:1. Where measurements are not possible.

    2. Where measurements can be made but are

    not made because of time, cost, or need.

    Attribute

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    A nonconformity is a departure of a qualitycharacteristic from its intended level or state

    that occurs with a severity sufficient to cause

    an associated product or service not to meet

    a specification requirement.

    Defect is concerned with satisfying intended

    normal, or reasonably foreseeable, usage

    requirement.

    Attribute

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    Defect is appropriate for use when evaluationis in terms of usage.

    Nonconformity is appropriate for conformance

    to specifications. The term Nonconforming Unitis used to

    describe a unit of product or service

    containing at least one nonconformity.

    Attribute

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    Defective is analogous to defect and isappropriate for use when unit of product

    or service is evaluated in terms of usage

    rather than conformance to specifications.

    Limitations of variable control charts:

    These charts cannot be used for quality

    characteristics which are attributes.

    Attribute

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    Types of Attribute Charts:1. Nonconforming Units (based on the

    Binomial distribution): pchart, npchart.

    2. Nonconformities (based on the Poissondistribution): cchart, uchart.

    Attribute

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    The PChart is used for data that consist of theproportion of the number of occurrences of an

    event to the total number of occurrences.

    It is used in quality to report the fraction orpercent nonconforming in a product, quality

    characteristic, or group of quality characteristics.

    The P Chart

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    Formula:

    The fraction nonconforming, p, is usually small,

    say, 0.10 or less.

    Because the fraction nonconforming is very

    small, the subgroup sizes must be quite largeto produce a meaningful chart.

    npp

    n

    The P Chart

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    It can be used to control one qualitycharacteristic, as is done with X bar and R chart,

    Or to control a group of quality characteristics of

    the same type or of the same part, Or to control the entire product.

    It can be established to measure the quality

    produced by a work center, by a department, by ashift, or by an entire plant.

    The P Chart

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    It is frequently used to report theperformance of an operator, group of

    operators, or management as a means of

    evaluating their quality performance.

    The subgroup size of the Pchart can be

    either variable or constant.

    The P Chart

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    Objectives of the PChart:1. Determine the average quality level: This

    information provides the process

    capability in terms of attributes.2. Bring to the attention of management

    any changes in the average.

    3. Improve the product quality: Ideas forquality improvement.

    The P Chart

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    Objectives of the PChart contd:4. Evaluate the quality performance of

    operating and management personnel.

    5. Suggest places to use Xbar and R chart:They are more sensitive to variation.

    6. Determine acceptance criteria of a

    product before shipment to the customer.

    The P Chart

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    P-Chart Construction for ConstantSubgroup Size1. Select the quality characteristic(s):

    a) Single quality characteristic.

    b) Group of quality characteristics.c) A part.

    d) An entire product.

    e) A number of products.

    f) It can be established for performance control of anoperator, work center, department, shift, plant, or

    corporation

    The P Chart

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    PChart Construction for Constant Subgroup Sizecontd.

    2. Determine the subgroup size and method:

    The size of the subgroup is a function of theproportion nonconforming.

    A minimum size of 50 is suggested as a

    starting point.

    The P Chart

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    PChart Construction for Constant Subgroup Sizecontd.

    3. Collect the data:

    At least 25 subgroups. Different sources (Check sheet).

    For each subgroup the proportion

    nonconforming is calculated by the formulaP= np/n

    The P Chart

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    PChart Construction for Constant Subgroup Size4. Calculate the trial central line and the control

    limits:

    (1 )3

    (1 )3

    nppn

    p pUCL p

    n

    p pLCL p

    n

    The P Chart

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    FIGURE 9-2 A p Chart to Illustrate the Trial Central Line and

    Control Limits Using the Data from Table 9-1

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    P Chart Construction for Constant Subgroup Sizecontd.

    5. Establish the revised central line and control limits.

    0

    0 00

    0 00

    (13

    (1 )3

    d

    new

    d

    np npp p

    n n

    p pUCL p

    np p

    LCL pn

    The P Chart

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    FIGURE 9-3 Continuing Use of the p Chart for Representative

    Values of the Proportion Nonconforming, p

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    The PChart is most effective if it is postedwhere operating and quality personnel can

    view it.

    The control limits are usually three standarddeviations from the central value. Therefore,

    approximately 99% of the plotted points, P,

    will fall between the upper and lower control

    limits.

    The P Chart

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    A PChart will also indicate long-rangetrends in quality, which will help to

    evaluate changes in personnel, methods,

    equipment, tooling, materials, and

    inspection techniques.

    P-chart is based on the binomial

    distribution.

    The P Chart

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    FIGURE 9-4 Various Techniques for Presenting p -Chart Information

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    PChart Construction for Variable Subgroup Size1. Collect the data.

    2. Determine the trial central line and control

    limits: Since the subgroup size changes eachday, limits must be calculated for each day.

    The P Chart

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    FIGURE 9-5 Preliminary Data, CentralLine, and Trial Control Limits

    FIGURE 9-5 Preliminary Data, Central Line, and Trial Control Limits

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    PChart Construction for Variable Subgroup Sizecontd.

    2. As the subgroup size gets larger, the control

    limits are closer together.3. Establish revised central line and control limits:

    The P Chart

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    PChart Construction for Variable Subgroup Sizecontd.

    If Pois known, the process of data collection

    and trial control limits is not necessary. Pis the proportion (fraction) nonconforming

    in a single subgroup.

    Pbar is the average proportion (fraction)nonconforming of many subgroups.

    The P Chart

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    PChart Construction for Variable Subgroup Sizecontd.

    Pois the standard or reference value of the

    proportion (fraction) nonconforming based

    on the best estimate of PBar.

    is the population proportion (fraction)

    nonconforming.

    The P Chart

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    Minimizing the Effect of Variable Subgroup Size1. Control limits for an average subgroup size: By

    using an average subgroup size, one limit can

    be calculated and placed on the control chart.

    0 00

    0 00

    (13

    (1 )3

    av

    av

    av

    nn

    g

    p pUCL pn

    p pLCL p

    n

    The P Chart

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    FIGURE 9-7 Chart for May Data Illustrating Use of an

    Average Subgroup Size

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    Minimizing the Effect of Variable Subgroup Size contd.Case I:This case occurs when a point (subgroup

    fraction nonconforming) falls inside the limits and

    its subgroup size is smaller than the average

    subgroup size.

    Case II: This case occurs when a point (subgroup

    fraction nonconforming) falls inside the average

    limits and its subgroup size is larger than the

    average subgroup size.

    The P Chart

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    Minimizing the Effect of Variable Subgroup Size contd.Case III:This case occurs when a point (subgroup

    fraction nonconforming) falls outside the limits and

    its subgroup size is larger than the average

    subgroup size.

    Case IV: This case occurs when a point (subgroup

    fraction nonconforming) falls outside limits and its

    subgroup size is less than the average subgroup

    size.

    The P Chart

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    FIGURE 9-8 p Chart Illustrating Central Line and Control

    Limits for Different Subgroup Sizes

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    Number Nonconforming Chart (np): The np chart is easier for operating personnel

    to understand than the pchart.

    The limitation that this chart has is that thesubgroup size needs to be constant.

    The np Chart

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    0

    0 0 0

    Central Line =

    Control Limits = 3 (1 )

    np

    np np p

    The np Chart

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    Number Nonconforming Chart (np): If the fraction nonconforming pois unknown,

    then it must be determine by collecting data,

    calculating trial control limits, and obtaining

    the best estimate of po.

    The np Chart

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    FIGURE 9-9 Number Nonconforming Chart ( np Chart)

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    For an attribute this process is much simpler. The process capability is the central line of

    the control chart.

    Management is responsible for the capability. When the plotted point is outside the control

    limit, operating personnel are usually

    responsible.

    Process Capability

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    FIGURE 9-10 Process Capability Explanation and Responsibility

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    The nonconformities chart controls the count

    of nonconformities within the product or

    service. An item is classified as a nonconforming unit

    whether it has one or many nonconformities.

    Count of nonconformities (c) chart. Count of nonconformities per unit (u) chart.

    Control Charts for Count of Non-conformities

    l h f f

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    Since these charts are based on the Poisson

    distribution, two conditions must be met:

    1. The average count of nonconformitiesmust be much less than the total possible

    count of nonconformities.

    2. The occurrences are independent.

    Control Charts for Count of Non-conformities

    C l Ch f C f

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    Objectives:

    1. Determine the average quality level: This

    information gives the initial process capability.2. Bring to the attention of management any

    changes in the average.

    3. Improve the product quality: Ideas for qualityimprovement.

    Control Charts for Count of Non-conformities

    C l Ch f C f

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    Objectives contd.:

    4. Evaluate the quality performance of

    operating and management personnel.5. Suggest places to use Xbar and R chart.

    6. Determine acceptance criteria of a

    product before shipment to the customer.

    Control Charts for Count of Non-conformities

    C t l Ch t f C t f N

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    C Chart construction:

    1. Select the quality characteristic(s):

    a) Single quality characteristic.

    b) Group of quality characteristics.c) A part.

    d) An entire product.

    e)

    A number of products.f) It can be established for performance control of

    an: operator, work center, department, shift, plant,

    or corporation

    Control Charts for Count of Non-conformities

    C t l Ch t f C t f N

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    C Chart construction contd:

    2. Determine the subgroup size and method:

    3. Collect the data: At least 25 subgroups.

    Different sources.

    Control Charts for Count of Non-conformities

    C t l Ch t f C t f N

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    c-Chart Construction contd:

    4. Calculate the trial central line and the control

    limits:

    3

    3

    cc

    g

    UCL c c

    LCL c c

    Control Charts for Count of Non-conformities

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    FIGURE 9-11 Control Chart for Count of Nonconformities ( c Chart), Using

    Preliminary Data

    C t l Ch t f C t f N

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    5. Establish the revised central line and control

    limits

    dnew 0

    d

    0 0

    0 0

    c - cc = c =

    g - g

    UCL = c + 3 c

    LCL = c - 3 c

    Control Charts for Count of Non-conformities

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    C t l Ch t f C t f N

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    6.Achieve the objectives: The reason for thecontrol chart is to achieve one or more of the

    previously stated objectives.

    Control Charts for Count of Non-conformities

    C chart construction contd:

    C t l Ch t f C t f N

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    Chart for Count of Nonconformities/Unit (uChart)

    3

    3

    ccu u

    n n

    uUCL u

    n

    uLCL u

    n

    Control Charts for Count of Non-conformities/Unit

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    FIGURE 9-13 u Chart for Errors on Waybills

    Cont ol Cha ts fo Co nt of Non

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    Chart for Count of Nonconformities/Unit

    (uChart)

    Scale selected is continuous for the uchart.

    For the cchart is discrete.

    Subgroup size for the uchart can vary. For

    the cchart is 1.

    The uchart is limited in that we do not

    know the location of the nonconformities.

    Control Charts for Count of Non-conformities

    A Q lit R ti S t

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    Nonconformity Classification:

    1. Critical nonconformities: Unsafe conditions for

    individuals using, maintaining, or depending upon the

    product.

    2. Major nonconformities: Result in failure or reducematerially the usability of the product for its intended

    purpose.

    3. Minor nonconformities: Reduce materially the usability

    of the product for its intended purpose.

    A Quality Rating System

    Control Charts for Demerits/Unit

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    0 0 0 0

    2 2 20 0 0 0

    0 0

    0 0

    , 9, 3 1

    9 3 1

    9 3 1

    9 3 1

    3

    3

    c c ma ma mi mi

    c ma mi

    c ma mi

    c ma mi

    u c ma mi

    u

    u

    D w u w u w u

    when w w and w are and

    D u u u

    D u u u

    u u u

    UCL D

    LCL D

    Control Charts for Demerits/Unit

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    FIGURE 9-16 Demerit-Per-Unit Chart ( D Chart)

    Control Chart Selection

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    Quality Characteristic

    Variable Attribute

    n>1?

    n>=10?

    x and MRno

    yes

    x and s

    x and Rno

    yes

    Defective Defect

    constantsample

    size?

    p-chart withvariable sample

    size

    no

    p or

    np

    yes SamplingUnit one

    c u

    yes no

    Control Chart Selection

    Comp te P og am

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    Computer Program

    EXCEL program files on the website willsolve for:

    p chart

    np chart

    c chart U chart

    60