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Week 02C

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Week 02C Management of Quality (Ch 2) Dimensions, determinants, definition, pioneers, Cost of Quality, awards, ISO registration, TQM, process improvement ... – PowerPoint PPT presentation

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Title: Week 02C


1
Week 02C Management of Quality (Ch 2)
  • Dimensions, determinants, definition, pioneers,
    Cost of Quality, awards, ISO registration, TQM,
    process improvement methodology, quality tools,
    PDCA (PDSA) cycle, Quality Circles, Six Sigma

2
Whats your definition of quality?
  • High price?
  • Reliable?
  • Attractive?
  • Durable?
  • Other?

3
Dimensions of Quality
  • Performance
  • Aesthetics
  • Special features
  • Safety
  • Reliability
  • Durability
  • Perceived quality
  • Service after sale

4
Quality - a Definition - 1
  • Fitness for use - Juran
  • Based on various factors reliability,
    durability, performance, usefulness, aesthetics,
    price, etc. - Various
  • Meets customer requirements Various
  • Consistently meets or exceeds customer
    expectations Stevenson
  • Ability of a product or service to meet customer
    needs - Heizer

5
Quality - a Definition - 2
  • Consistently meets or exceeds customer
    requirements Bentley
  • Emphasis on requirements
  • Includes understanding of expectations
  • Implies an agreement
  • explicit or
  • Implicit
  • Concept Do it right the first time and every
    time

6
Determinants of Quality
  • How well a product satisfies its intended purpose
    based on 4 factors
  • Design
  • Conformance to the design
  • Ease of use
  • Service after delivery

7
Case Study a personal experience
  • Program introduction
  • General manager kickoff talk
  • Key question What do we do at the end of the
    month if were not sure that a product meets
    quality requirements?
  • The answer That all depends
  • Possible consequences
  • Program results

8
Quality Gurus / Pioneers - 1
  • Frederick Taylor (1856-1915)
  • Inspection
  • Gauging
  • Walter Shewhart (Bell System) (1891-1967)
  • Developed Statistical control charts
  • Mentored Deming
  • PDCA cycle (shared with Deming)
  • Identified 2 causes of variation chance and
    assignable

9
Quality Gurus / Pioneers - 2
  • H.G. Romig (????-????) and Harold Dodge
    (1893-1976) (Bell System)
  • Acceptance sampling tables
  • W. (William) Edwards Deming (1900-1993)
  • Trained in engineering, mathematics, and physics
  • Physics professor, U.S. Census Bureau, USDA,
    consultant
  • Taught SQC to Japanese QC people (1947-1965)
  • PDCA cycle (shared with Shewhart)
  • Honored by Japanese prize in his name

10
Quality Gurus / Pioneers - 3
  • W. (William) Edwards Deming (contd.)
  • 14 points based on
  • Constancy of purpose
  • Continual improvement
  • Profound knowledge
  • Appreciation for a system
  • A theory of variation
  • A theory of knowledge

11
Quality Gurus / Pioneers - 4
  • Joseph M. Juran (Bell System) (1904-2008)
  • Also lectured in Japan
  • Authored/Edited Quality Control Handbook
  • Built on Pareto concept
  • Quality Trilogy concept
  • Quality planning
  • Quality control
  • Quality improvement

12
Quality Gurus / Pioneers - 5
  • Armand Feigenbaum (GE, General Systems Company)
    (1922- )
  • Cost of nonconformance
  • Total quality control concept
  • Authored Total Quality Control
  • 40 steps in quality principles
  • TQC is system for integration Standards,
    appraisal, corrective action
  • Technological and human factors
  • 4 categories of quality costs
  • Control quality at the source

13
Cost of Quality (Juran/Feigenbaum)
TRADITIONAL CoQ CURRENT CoQ

 
External Failure
 
  External Failure
Internal Failure  
  Internal Failure
   
Prevention  
   
  Prevention
   
Appraisal  
   
  Appraisal
14
Quality Gurus / Pioneers - 6
  • Philip Crosby (Martin Marietta, ITT, PCA)
    (1926-2001)
  • Zero Defects
  • Authored Quality is Free, Quality Without
    Tears
  • Started Quality College (multiple sites)
  • Company teams trained
  • Emphasized behavioral change

15
Quality Gurus / Pioneers - 7
  • Kaoru Ishikawa (1915-1989)
  • Quality Circles
  • Cause and effect fishbone or
  • Ishikawa diagram
  • Promoted statistical methods
  • Recognized internal customer
  • Conceived company wide quality control

16
Quality Gurus / Pioneers - 8
  • Genichi Taguchi (1924- )
  • Emphasized variation reduction
  • Taguchi loss function
  • Shigeo Shingo (1909-1990)
  • Not focused on quality but had significant impact
  • Setup standardization
  • Poka-yoke
  • Source inspection systems

17
Awards Prizes
  • Deming Prize
  • Awarded by Union of Japanese Scientists
    Engineers
  • First awarded in 1951
  • Named after W. Edwards Deming
  • Malcolm Baldrige Award
  • Awarded by US Department of Commerce
  • 1987 legislation
  • Named after Malcolm Baldrige

18
Awards Prizes (contd)
  • European Quality Award
  • Award for organizational excellence
  • Originally one per year
  • Now several categories
  • Other awards
  • Most developed nations have some form of Quality
    awards or prizes

19
Value of Awards Prizes
  • Shows effort
  • Largely dependent on money spent
  • Used in advertising
  • Doesnt reflect customer view

20
ISO
  • International Standards Organization

21
Current ISO Standards
  • ISO 9000 family Quality management
  • ISO 90012008 (QMS - Requirements)
  • ISO 14000 family Environmental management
  • ISO 140012004 (EMS - Requirements)
  • ISO 190112002 (Guidelines on Quality and/or
    Environmental Management Systems Auditing)

22
ISO Registration
  • Whats been good
  • Focus on quality
  • Demonstrates effort
  • What was bad (mostly fixed in ISO 90002000
  • Became mechanical
  • Emphasized conformance to documentation, not
    meeting QUALITY
  • Didnt include customer view

23
Quality Today
  • Reflects a blend of concepts and contributions
    from the pioneers (gurus)
  • Stresses organization-wide TQM
  • Emphasizes the role of the front-line worker
    (authority and responsibility)
  • Seeks to recognize achievement through prizes and
    certification

24
TQM Approach
  • Know customer requirements and wants
  • Design a product to delight the customer
  • Design a process to do the job right (the first
    time and) every time
  • Apply fail-safing techniques (poka-yoke
    devices)
  • Monitor and record results for improvement ideas
  • Work with suppliers and customers

25
Poka-Yoke(Mistake-Proofing)
  • Developed by Shigeo Shingo
  • An approach for mistake-proofing processes using
    automatic devices or methods to avoid simple
    human or machine error, such as forgetfulness,
    misunderstanding, errors in identification, lack
    of experience, absentmindedness, delays,
  • or malfunctions

26
Poka-Yoke Examples (from John Grouts Poka-Yoke
Page)(refer to www.campbell.berry.edu/pokayoke)
mod. 09/15/02 DAB
27
Other TQM Points
  • Continual improvement (kaizen)
  • Competitive benchmarking
  • Employee enablement
  • Use of teams
  • Training
  • Extension to suppliers
  • Traditional vs. TQM cultures

28
Process Improvement Tools
  • Process flowcharts
  • Check sheets
  • Scatter diagrams
  • Histograms
  • Pareto analysis (charts)
  • Cause-and-effect diagrams (Ishikawa/Fishbone)
  • Control charts
  • Run charts

29
Flowcharts
  • Shows unexpected complexity, problem areas,
    redundancy, unnecessary loops, and where
    simplification may be possible
  • Compares and contrasts actual versus ideal flow
    of a process
  • Allows a team to reach agreement on process steps
    and identify activities that may impact
    performance
  • Serves as a training tool

30
Check Sheet
  • Creates easy-to-understand data
  • Builds, with each observation, a clearer picture
    of the facts
  • Forces agreement on the definition of each
    condition or event of interest
  • Makes patterns in the data become
  • obvious quickly

xx xxxxxx x
31
Scatter Diagram
  • Supplies the data to confirm a hypothesis that
    two variables are related
  • Provides both a visual and statistical means to
    test the strength of a relationship
  • Provides a good follow-up to cause and effect
    diagrams



32
Histogram
  • Displays large amounts of data that are difficult
    to interpret in tabular form
  • Shows centering, variation, and shape
  • Illustrates the underlying distribution of the
    data
  • Provides useful information for predicting future
    performance
  • Helps to answer the question Is the process
    capable of meeting requirements?

33
Pareto Diagram
  • Helps a team focus on causes that have the
    greatest impact
  • Displays the relative importance of problems in a
    simple visual format
  • Helps prevent shifting the problem where the
    solution removes some causes but worsens others

34
Cause and Effect Diagram
  • Enables a team to focus on the content of a
    problem, not on the history of the problem or
    differing personal interests of team members
  • Creates a snapshot of collective knowledge and
    consensus of a team builds support for solutions
  • Focuses the team on causes, not symptoms

Effect
Cause
35
Control Chart
  • Focuses attention on detecting and monitoring
    process variation over time
  • Distinguishes special from common causes of
    variation
  • Serves as a tool for on-going control
  • Provides a common language for discussion process
    performance




36
Run Chart
  • Monitors performance of one or more processes
    over time to detect trends, shifts, or cycles
  • Allows a team to compare performance before and
    after implementation of a solution to measure its
    impact
  • Focuses attention on truly vital changes in the
    process




37
Process Improvement Sequence - 1
  • Management responsibility
  • Develop process improvement plan
  • Determine process or area to examine
  • Form and train Process/Quality Improvement Team

38
Process Improvement Sequence - 2
  • Team use coarse tools
  • Process flowchart
  • Check sheets and histograms
  • Pareto analysis lt--- (iterative
  • Fishbone chart ---gt steps)

39
Process Improvement Sequence - 3
  • Team use fine tools
  • Process control charts
  • Run diagrams
  • Scatter diagrams
  • Failsafing

40
Process Improvement Sequence - 4
  • Team
  • Determine process changes
  • Implement pilot process improvement
  • Measure and evaluate results
  • Repeat if results unsatisfactory deploy full
    implementation if results satisfactory

41
PDCA (or PDSA) Cycle
  • Also known as the Deming wheel, or
    Deming/Shewhart cycle or wheel
  • 4 parts to the cycle
  • Plan - document and analyze
  • Do - implement improvement
  • Check (or Study) - compare to desired state
  • Act - correct or standardize


42
Quality Circles vs. QITs
  • Quality Circles
  • Limited authority
  • Focus within department
  • Often seen as added work
  • Ongoing
  • Quality Improvement Teams
  • Greater authority
  • Focus on total process
  • Recognized as important part of job
  • End when process improvement complete

43
5W2H Approach
  • What? Subject
  • Why? Purpose
  • Where? Location
  • When? Timing/sequence
  • Who? People involved
  • How? Method
  • How much? Cost/impact

44
Six Sigma

45
Six Sigma Quality
  • Latest popular approach to Quality
  • 6 standard deviations (6?) from the process
    mean 0.0003 defects
  • Represents a goal
  • Certification from ASQ on processes to support
    Six Sigma
  • Many consulting and training firms on how to
    implement Six Sigma

46
Six Sigma at GE
  • The central idea behind Six Sigma is that if you
    can measure how many defects you have in a
    process, you can systematically figure out how to
    eliminate them and get as close to zero defects
    as possible.
  • Making Customers Feel Six Sigma Quality

47
Six Sigma Evolution
  • Started as a simple quality metric at Motorola in
    1986 (Bill Smith)
  • Concept migrated to Allied Signal
  • (acquired Honeywell and took its name)
  • Picked up by General Electric
  • Commitment by CEO Jack Welch in 1995
  • Grown to be an integrated strategy for attaining
    extremely high levels of quality

48
What is Six-Sigma?

Sigma (?) is a Greek letter used to designate a standard deviation (SD) in statistics Six refers to the number of SDs from the specialized limit to the mean. Six sigma is a fairly recent umbrella approach to achieve quality

49
Percent Not Meeting Specifications
  • 1S 32
  • 2S 4.5
  • 3S 0.3
  • 6S 0.00034

50
Six-Sigma Levels
Sigma Level Long-term ppm defects
1 691,462
2 308,538
3 66,807
4 6,210
5 233
6 3.4

51
Statistics - DPU
  • Defect
  • Six Sigma any mistake or error passed on to the
    customer ???
  • General view any variation from specifications
  • DPU (defects per unit)
  • Number of defects per unit of work
  • Ex 3 lost bags 8,000 customers
  • .000375

52
Statistics dpmo (defects per million
opportunities)
  • Process may have more than one opportunity for
    error (e.g., airline baggage)
  • dpmo (DPU 1,000,000)
  • opportunities for error
  • Ex (.000375)(1,000,000) 1.6 234.375
  • or (3 lost bags 1,000,000) (8,000
    customers 1.6 average bags)
  • 234.375
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