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Quality Control. Chapter 10- Acceptance Sampling Systems. PowerPoint presentation to accompany Besterfield Quality Control, 8e PowerPoints created by Rosida Coowar. Outline. Lot-by-lot acceptance sampling plans for attributes Acceptance sampling plans for continuous production

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quality control

Quality Control

Chapter 10- Acceptance Sampling Systems

PowerPoint presentation to accompany

Besterfield

Quality Control, 8e

PowerPoints created by Rosida Coowar

outline
Outline

Lot-by-lot acceptance sampling plans for attributes

Acceptance sampling plans for continuous production

Acceptance sampling plans for variables

learning objectives
Learning Objectives

When you have completed this chapter you should be able to:

Determine the sampling plan using ANSI/ASQ Z1.4.

Know the switching rules for ANSI/ASQ Z1.4.

Categorize the various sampling plan systems in terms of lot-by-lot, continuous production, attributes or variables.

learning objectives cont d
Learning Objectives-cont’d.

When you have completed this chapter you should be able to:

Describe the various sampling plan systems and know their function (advantages, disadvantages, purpose etc.).

Determine the sampling plan using the Dodge Romig Tables

Construct the OC Curve for a chain sampling plan.

learning objectives cont d1
Learning Objectives-cont’d.

When you have completed this chapter you should be able to:

Be able to use the Shainin Lot Plot Method.

Determine the sampling plan ANSI/ASQ S1

Determine whether a lot is accepted or rejected using ANSI/ASQ Z1.9

lot by lot acceptance sampling plans for attributes
Lot-by-Lot Acceptance Sampling Plans for Attributes
  • Devised in 1942 at Bell Labs
  • Later became MIL-STD-105E
  • ISO-2859
  • ANSI/ASQ Z1.4
    • Wording & terminology changes
    • Additional tables added
ansi asq z1 4
ANSI/ASQ Z1.4
  • This standard is applicable to:
    • End items
    • Components and raw materials
    • Operations
    • Materials in process
    • Supplies in storage
    • Maintenance operations
    • Data or records
ansi asq z1 41
ANSI/ASQ Z1.4
  • Intended to be used for a continuing series of lots, but may be designed for isolated lots.
  • Standard provides for single, double, and multiple sampling plans.
  • Provision is also provided for normal, tightened, or reduced inspection.
  • Plan is specified by the AQL, and sample-size code.
ansi asq z1 42
ANSI/ASQ Z1.4
  • Normal inspection is used at the start of inspection with changes being a function of recent quality history.
  • Tightened inspection:
    • Generally used when producer’s recent quality history has deteriorated.
ansi asq z1 43
ANSI/ASQ Z1.4
  • Reduced inspection:
    • Used when the producer’s recent quality history has been exceptionally good.
  • Decision concerning what type of plan to use is left to the responsible authority.
  • Nonconformities are classified such as critical, major…
ansi asq z1 45
ANSI/ASQ Z1.4
  • AQL
    • The AQL is the most important part of the standard since the AQL and sample size dictate the plan used.
    • AQL is defined as the maximum percent nonconforming that can be considered satisfactory as a process average.
      • Satisfactory = Producer’s risk, α
      • Usually 0.05
ansi asq z1 46
ANSI/ASQ Z1.4
  • AQL
  • AQL is specified by contract or responsible authority.
    • AQL may be determine from historical data, empirical judgment, engineering information, experimentation, producer’s capability, consumer’s requirements.
ansi asq z1 47
ANSI/ASQ Z1.4
  • AQL
  • AQL is specified by contract or responsible authority.
    • AQL may be determine from historical data, empirical judgment, engineering information, experimentation, producer’s capability, consumer’s requirements.

17

ansi asq z1 48
ANSI/ASQ Z1.4
  • Sample Size
    • Determined by lot size and inspection level
      • Use of sample-size code
    • Inspection level is determined by the responsible authority.

17

ansi asq z1 49
ANSI/ASQ Z1.4
  • Sample Size
    • Different levels of inspection provide approximately the same protection to the producer, but different protections to the consumer.
    • Plan provides for “special” levels to be used where relatively small sample sizes are necessary and large sampling risks must be tolerated. (S-1, S-2, S-3, S-4)

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slide19

ANSI/ASQ Z1.4

  • Implementation
    • Determine lot size
    • Determine inspection level
    • Find sample-size code letter in table
    • Determine AQL

19

slide20

ANSI/ASQ Z1.4

  • Implementation cont’d.
    • Determine type of sampling plan
    • Find sampling plan in appropriate table
    • Start with normal inspection and change to tightened or reduced based on switching rules

20

slide21

AQL

What an AQL means is that as long as a supplier maintains his/her process average (% defective) at the assigned AQL or lower, there is a very high probability that shipments from that supplier, when inspected using ASQ Z1.4 sampling plans, will be accepted. 

21

slide22

AQL

By the same token, there is a very high probability that shipments, when inspected using ASQ Z1.4 sampling plans, will be rejected if a supplier's process average (% defective) remains higher than the assigned AQL.

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slide23

ANSI/ASQ Z1.4

  • Single sampling plans
    • Start by identification of AQL, lot size, inspection level, and type of sampling plan.
    • Locate appropriate plan parameters in tables.
  • Double and Multiple Sampling
    • Similar procedures as single sampling

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slide24

ANSI/ASQ Z1.4

  • Normal, Tightened, and Reduced Inspection
    • Start with normal inspection
  • Switching Procedures
    • Normal to tightened
      • Institute when 2 out of 5 consecutive lots not accepted on original inspection
    • Tightened to normal
      • Institute when 5 consecutive lots accepted
      • If not, then discontinue inspection under this plan

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slide25

ANSI/ASQ Z1.4

  • Switching Procedures
    • Normal to reduced
      • Institute when: (all of the following)
        • Preceding 10 lots on normal inspection have been accepted
        • Total nonconforming in preceding 10 samples is less than number identified in Table 10-5.
        • Production is at a steady rate
        • Reduced inspection is considered desirable by responsible authority

25

slide26

ANSI/ASQ Z1.4

  • Switching Procedures
    • Reduced to normal
      • Institute when: (any of the following)
        • A lot is not accepted
        • Sampling procedure terminates with neither acceptance or rejection criteria have been met
        • Production is irregular or delayed
        • Other conditions

26

slide27

ANSI/ASQ Z1.4

  • Standard is designed for use where units of product are produced in a continuing series of lots or batches.
  • If a sampling plan is desirable for a lot or batch of an isolated nature, it should be chosen based on the Limiting Quality (LQ) and consumer’s risk, b.
    • These tables are included in the standard, but not the textbook.
    • Or use ANSI/ASQ Standard Q3

27

slide28

ANSI/ASQ Standard Q3

  • Standard is used for inspection of isolated lots by attributes.
  • Provides indexed tables by Limiting Quality, LQ.

28

slide29

ANSI/ASQ Standard Q3

  • Two Schemes:

1. Used for lots that are isolated or mixed or that have an unknown history as far as all parties know.

      • Lot size and LQ must be known.
      • Nominal values of the LQ are based on b=0.10

29

slide30

ANSI/ASQ Standard Q3

  • Two Schemes:

2. Used when a vendor is producing a continuous stream of lots and sends one or a few to a customer who will consider them as isolated lots.

      • Occurs frequently when purchasing small quantities of raw materials.

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slide31

Dodge-Romig Tables

  • A set of inspection tables for lot-by-lot acceptance sampling by attributes.
  • Tables are based on Limiting Quality (LQ) and Average Outgoing Quality Limit (AOQL).
    • Tables for single and double sampling
  • Advantage that the plan provides a minimum amount of inspection for a given inspection procedure.
    • Desirable for in-house inspection

31

slide32

Dodge-Romig Tables

  • Limiting Quality – LQ
    • Based on the probability that a particular lot, which has percent nonconforming equal to the LQ, will be accepted.
      • Probability is the consumer’s risk, β = 0.10
      • LQ plans give assurance that individual lots of poor quality will rarely be accepted.

32

slide33

Dodge-Romig Tables

  • Observations about the LQ tables:
    • As the lot size increases, the relative sample size decreases.
    • The tables extend until the process average is one-half of the LQ.
    • As the process average increases, a corresponding increase occurs in the amount inspected.

33

slide34

Dodge-Romig Tables

  • Average Outgoing Quality Limit – AOQL
    • Applicable when the inspected lot is a convenient subdivision of a flow of product for materials handling purposes (non-homogeneous)
    • AOQL plan limits the amount of poor outgoing quality on an average basis, but gives no assurance on individual lots.

34

slide35

Dodge-Romig Tables

  • Process average
    • Obtained by the same techniques as for p-charts
      • First 25 lots the average percent nonconforming is obtained
  • Type of nonconformance
    • Dodge-Romig tables do not provide for different categories or tightened inspection
      • Different LQ or AOQL values may be used

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slide36

Chain Sampling Inspection Plan

  • A special type of lot-by-lot acceptance sampling plan for attributes designated as “Chain Sampling Plan ChSP-1”.
  • Applicable to quality characteristics which involve destructive or costly tests.
    • Use of small sample sizes
    • Acceptance number, c=0
      • Poor shape of OC curve at the producer’s risk

36

slide37

Chain Sampling Inspection Plan

  • Chain sampling uses the cumulative results of several samples
    • Determination of the value of i, the number of previous samples, is determined by analysis of the OC curves for a given sample size.

37

slide38

Chain Sampling Inspection Plan

  • Procedure:
    • For each lot, select a sample of size n and test each for conformance to specifications.

38

slide39

Chain Sampling Inspection Plan

  • Procedure:
    • If the sample has 0 nonconforming units, accept the lot; if the sample has 2 or more nonconforming units, do not accept the lot; and if the sample has 1 nonconforming unit, it may be accepted provided that there are 0 nonconforming units in the previous

isamples of size n.

39

slide40

Chain Sampling Diagram

Current Lot

i previous lots

n=5

c=0

LastLot

Second-

to-Last

Lot

Accept if 0 Nonconforming Units

in n =5 or if 1 Nonconforming Unit

Zero Nonconforming Units in i

Previous Lots

&

Figure 10-4 Chain Sampling Diagram

40

slide41

Chain Sampling Inspection Plan

Conditions for use of the Chain Sampling Plan:

  • The lot should be one of continuing series of product that is sampled in substantially the order of production
  • The consumer can normally expect the lots to be essentially the same quality.

41

slide42

Chain Sampling Inspection Plan

Conditions for use of the Chain Sampling Plan:

  • The consumer has confidence in the producer not to occasionally send an unacceptable lot that would have the optimum chance of acceptance.
  • The quality characteristic is one that involves destructive or costly tests.

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slide43

Sequential Sampling

  • Used for costly or destructive tests
    • Subgroup size of 1 – item by item plan
  • Sequential sampling is similar to multiple sampling, except sequential sampling can, in theory, continue indefinitely.
    • In practice, the plan is truncated after the number inspected is equal to three times the number inspected by a corresponding single sampling plan.
    • Based on the Sequential Probability Ratio Test

43

slide46

Skip Lot Sampling

  • Designated SkSP-1 and based on AOQL.
  • A single sampling plan for minimizing inspection costs when there is a continuing supply of lots of raw materials, component parts, subassemblies, and finished parts from the same source.
  • Applicable to chemical and physical characteristics that require laboratory analysis.

46

slide47

Procedure for SkSP-1 Plans

Begin by inspecting every lot

When i consecutive lots are

found to be conforming

Discontinue inspection of every lot

Inspect a fraction, f, of the lots

In a random manner

When an inspected lot is found

nonconforming

Figure 10-7 Procedure SkSP-1 plans

47

slide48

ANSI/ASQ S1

  • Provides procedures to reduce the inspection effort when the supplier’s quality is superior.
  • A skip-lot scheme used in conjunction with attribute lot-by-lot plans given in ASQ Z1.4

48

slide49

ANSI/ASQ S1

  • Requirements to use ANSI/ASQ S1
    • Have a documented system for controlling product quality and design changes
    • Have instituted a system that is capable of detecting and correcting changes that might adversely affect quality.
    • Not have experienced an organizational change that might adversely affect quality

49

slide50

ANSI/ASQ S1

  • Additional requirements of the product:
    • Be of stable design
    • Have been manufactured on a continuous basis for at least 6 months unless agreed to a longer period.
    • Have been on normal and reduced inspection during the qualification period.
    • Have maintained a quality level at or less than the AQL for at least 6 months.

50

slide51

ANSI/ASQ S1

  • Other:
    • The previous 10 or more consecutive lots have been accepted
    • The min cumulative sample size for the last 10 or more consecutive lots have been met.
    • The acceptance numbers for the last 2 lots have been met

51

slide52

Sampling for Continuous Production

  • Acceptance sampling for continuous production implies that manufacturing operations do not create lots as part of the normal part of the production process.
    • Parts are produced by a continuous process on a conveyor or similar system.

51

slide53

Sampling for Continuous Production

  • Plans for continuous production consist of alternating sequences of sampling inspection and screening (100%) inspection.
    • Plans begin with 100% inspection and convert to sampling after a stated number of items are free of nonconformities.
    • Sampling continues until a stated number of nonconforming units are found, at which time 100% inspection in reinstated.

53

slide54

Sampling for Continuous Production

  • Applicable to attribute, nondestructive inspection of moving product.
  • Inspection should be easy and rapid
  • Process must be capable of manufacturing homogeneous product

54

slide55

Sampling for Continuous Production

  • Developed by Dodge
    • CSP-1, CSP-2, CSP-3
    • Later, MIL-STD-1235B

55

slide56

Sampling for Continuous Production

  • CSP-1
    • Begins with 100% inspection of the product in the order of production until a certain number of successive units are free of nonconformities.

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slide57

Sampling for Continuous Production

  • CSP-1
    • Sampling inspection is then instituted
      • Samples are selected in such a manner as to minimize any bias
    • If a nonconformity occurs, sampling is discontinued and 100% inspection begins.

57

slide59

MIL-STD-1235B

  • Standard is composed of five different continuous sampling plans.
    • Designated by code letters

59

slide60

MIL-STD-1235B

  • Inspection is by attributes for nonconforming units using three classes of severity:
    • Critical
    • Major
    • Minor
  • Each of the plans incorporates a provision for discontinuance of inspection

60

slide61

Acceptance Sampling Plans for Variables

  • Shainin Lot Plot
  • ANSI/ASQ Z1.9-2003

61

slide62

Acceptance Sampling Plans for Variables

  • Shainin Lot Plot
    • Random sample of 10 subgroups of 5 each
    • Find average and range
    • Construct a histogram
    • Calculate Xdouble bar, R bar
    • Calculate ULL and LLL
    • Compare to lot plots in Figure 10-15

62

slide63

Acceptance Sampling Plans for Variables

ANSI/ASQ Z1.9-2003 Sampling Procedures and Tables for Inspection by Variables for Percent Nonconforming is an acceptance sampling system to be used on a continuing stream of lots for Acceptance Quality Limit (AQL) specified.

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slide64

Acceptance Sampling Plans for Variables

ANSI/ASQ Z1.9-2003 provides tightened, normal, and reduced plans to be used on measurements which are normally distributed. Variation may be measured by sample standard deviation, sample range, or known standard deviation. It is applicable only when the normality of the measurements is assured.

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