design and control of quality
DESCRIPTION
Design and Control of Quality. Ian Bradbury. peaker services, inc. Quality Assurance. Two kinds of people (Scholtes) Views on Outcomes: Assurance that outcomes conform to requirements Loss to Society (Taguchi). 100% Loss. 0% Loss. 100% Loss. LSL. T. USL. LSL. T. USL. - PowerPoint PPT PresentationTRANSCRIPT
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Design and Control of Quality
Ian Bradbury
peaker services, inc.
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Quality Assurance
Two kinds of people (Scholtes)Views on Outcomes:
Assurance that outcomes conform to requirements
Loss to Society (Taguchi)
LSL USLT
0%Loss
100%Loss
100%Loss
LSL USLT
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Methods for Quality Assurance
Take action on outcomesTake action on the process
(means/context of production)Take action on inputs
WorkInputs Outputs
Action on Action onAction on
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Acceptance SamplingA form of taking action on outcomes
Loti+j
Samplei+j
AcceptanceCriterion
Loti+j-1
Samplei+j-1
AcceptanceCriterion
Loti
Samplei
AcceptanceCriterion
Accept Reject Accept Reject Accept Reject
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Advantages of Acceptance Sampling
Rules for application are largely context independentDifferences due to levels of risk, type of
measurement etc., but not whether it’s drugs, food or missiles being produced)
Approach may therefore be prescribed quite tightly and audited without much domain knowledge for judgment
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Disadvantages of Acceptance Sampling
Effectiveness depends upon assumptions about the nature of variation in outcomes w/o built in diagnostic test of whether such assumptions are reasonable
Implicit goalpost view of the cost of variationIn and of itself, it does not produce change
that reduces the likelihood of future non-conformance (maintenance vs. improvement)
More expensive than 0% or 100% inspection
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Outcome Variation
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Stable Underlying Process
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Alternative Underlying Processes
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Deming’s k-p rules (simple case)
Let p be the average fraction defectiveLet k1 be the cost to inspect one unitLet k2 be the cost of a defective unit
‘down the line’0<k1/k2<1 is referred to as breakeven
quality
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Simple Cases
Case 1: If the worst lot will still have p<k1/k2, 0% inspection yields minimum cost
Case 2: If the best lot will still have p>k1/k2, 100% inspection yields minimum cost
Case 3: If p is stable (i.e. the result of a process that’s in a state of statistical control): If p<k1/k2, 0% inspection yields minimum cost If p>k1/k2, 100% inspection yields minimum cost
Other cases, and some rationale in OOTC chapter 15. More theory in Some Theory of Sampling
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Point 3 of Deming’s 14 Points for Management
Cease dependence on inspection to achieve quality. Eliminate the need for inspection on a mass basis by building quality into the product in the first place
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Methods for Quality Assurance
Take action on outcomesTake action on the process
(means/context of production)Take action on inputs
WorkInputs Outputs
Action on Action onAction on
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Taking Action on the Cause System
Outcomes
EnvironmentMaterials
PeopleProcessEquipment
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Advantages of the Approach
Leverage - cost effectivenessLevel of Assurance that’s possibleMore in depth knowledge development
of the nature of variation in outcomesRational basis for PredictionKnowledge input for design & redesign
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Disadvantages of the Approach
Less ‘prescriptively’ simpleDepends upon domain knowledge of
cause & effect relationships (or requires development thereof)
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Different Classes of Action on the Cause System
Control Feedback - PDCASimultaneous Deliberate Learning while
making changes aimed at Improvement - PDSA
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How to Proceed with Control - PDCA
Determinegoals and
targets
Determinemethods of
reaching goalsEngage ineducation
and training
Implementwork
Check theeffects of
implementation
Takeappropriate
action
Plan
DoCheck
Action
Control Circle
Iskikawa, K. , 1985 - What is Total Quality Control? The Japanese Way
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Knowledge is built on theory
Management is Prediction The theory of knowledge teaches us that a
statement, if it conveys knowledge predicts future outcome, with risk of being wrong, and that it fits without failure observations of the past.
Rational prediction requires theory and builds knowledge through systematic revision and extension of theory based on comparison of prediction with observation
Ch. 4, The New Economics
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Reaction to “that corruption...”
Plan a change ora test, aimed atimprovement.
Do - Carry out thechange or the test(preferably on asmall scale)
Act - Adopt thechange, or abandon
it, or run throughthe cycle again.
Study the results.What did we learn?What went wrong?
P
DS
A
A flow diagram for learning and for improvement of a product or of a process.Page 132, The New Economics, 2ed.
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A Clarification of PDSA? Revise theory if
required Compare results
with goal(s)
Compare results with prediction(s)
Aim (goal(s)) Changes for
improvement Rationale &
Assumptions Rational prediction(s) Method of observation
or measurement
Carry out the plan
P
DS
A
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Production Viewed as a SystemStage 0:Generationof Ideas
DesignandRedesignSuppliers of
materials andequipment Receipt
and test ofmaterialsProduction, assembly, inspection
Tests of processes,machines, methods,costs
Consumerresearch
Consumers
ABCD
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Summary
For conformance quality, 0% or 100% inspection (k-p rules) for lowest cost
Importance of understanding the nature of variation over time
Systematic application of PDSA to build knowledge and simultaneously take action aimed at improvement
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Questions & Comments
References:The New Economics, 2ed. - W. Edwards
DemingOut of the Crisis - W. Edwards DemingSome Theory of Sampling - W. Edwards
DemingKaizen: The Key to Japan’s Competitive
Success - Masaaki ImaiWhat is Total Quality Control? The Japanese
Way - Kaoru Ishikawa