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Six Sigma Overview

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Six Sigma Overview. 4 Sigma Process Capability 99.38% Current Standard ... Six-Sigma is a philosophy: Why isn't '99% acceptable' good enough... – PowerPoint PPT presentation

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Title: Six Sigma Overview


1
Six Sigma Overview
2
The Classical View of Performance
  • Six-Sigma is a philosophy
  • Why isnt 99 acceptable good enough...??
  • 20,000 lost articles of mail every hour.
  • 15 minutes each day of unsafe drinking water.
  • 5,000 incorrect surgical procedures per week.
  • 4 or more accidents per day at major airports.
  • 200,000 wrong drug prescriptions each year.
  • 7 hours each month without electricity.

4 Sigma Process Capability 99.38
Current Standard
6 Sigma Process Capability 99.99966
World-Class
3
History of 6 Sigma
  • 6 Sigma manufacturing philosophy came from
    Motorola
  • They recognised that sufficient process
    improvement would not occur using a conventional
    approach to quality. It was developed to help
    them reduce variation within a process by
    focusing effort on improving inputs to a process
    rather than reacting to outputs.
  • The process was failing the customer expectations
  • Traditionally, processes aimed for process
    capability of 3 to 4 sigma (Cpk1.0 to 1.33 or
    93 to 99.3 acceptable)
  • The customer received 6200 defective product per
    million at best
  • Processes now aim for 6 sigma (Cpk2)
  • The customer would receive 3.4 defective product
    per million

4
6 sigma Process Capability What is it (CPK)
  • 3 Sigma ( Process capability of 1 CPK )
  • if the process (lorry) slightly varies then the
    scrap or damage will occur
  • 6 Sigma ( Process capability of 2 CPK )
  • if the process (lorry) varies, there will be no
    scrap or damage

Curbs required process tolerances
5
Understanding Variability
  • Variation exists in everything. Even the best
    machine cannot make every unit exactly the same.
  • Improved capability, becomes a necessity, due to
    the need of
  • improved designs
  • lower costs
  • better performance
  • All of this leads to the need of tighter
    tolerances
  • This means that the ability to operate to a tight
    tolerance, without producing defects becomes a
    major advantage

6
Improvement methodology
KPIV Key Process Input Variables
Controllable Inputs
X1
X2
X3
Quality Characteristics Outputs
Inputs Raw materials, components, etc.
The Process
Y1, Y2, etc.
N1
N2
N3
Uncontrollable Inputs
On target, minimum process variation
7
Improvement methodology
D M A I C
Define
Measure
Analyze
Improve
Control
8
Improvement methodology
Define
  • Define terms of reference (Charter the project)
  • Team / customer / project charter
  • Brain storming
  • Mind maps
  • Affinity diagrams
  • High level Process Maps
  • Systematic diagrams / Fault tree
  • Business Process Mapping
  • Define customer requirements (Voice of the
    customer)
  • QFD Quality Function Deployment
  • To develop a team charter.
  • To define the customers and their requirements
    (CTQ Critical to Quality).
  • To map the business process to be improved

Characteristics
Product / customers
Importance out of 10
9
Define
  • Define terms of reference (charting a project)
  • What you can deliver to the customer and the
    support you need from the customer to facilitate
    a successful improvement (contract of engagement)
  • Brain storming, Mind maps, Affinity diagrams,
    High level Process Maps, Systematic diagrams /
    Fault tree, Business Process Mapping
  • Tools to explore a problem, project or current
    thinking.
  • Tools to group those ideas logically.
  • Then define a route map to improvement, the risk
    involved and how to mitigate that risk.
  • Define customer requirements (Voice of the
    customer)
  • QFD Quality Function Deployment, is a method of
    defining what the customer needs, what is
    critical to there business success prioritise
    objectives to meet the customer need.

10
Improvement methodology
  • Voice of the process
  • Data Collection - 7 quality tools
  • Tally charts
  • Bar charts
  • Pareto
  • Run charts
  • Control charts
  • Cause effect
  • Check sheets
  • Evaluate measurement systems
  • Gauge RR
  • Select measures of performance
  • Quality Function Deployment

Measure
  • To measure and understand baseline performance
    for the current process

11
Measure
  • Voice of the process (7 quality tools)
  • Tally charts, Bar charts, Pareto, Run charts,
    Control charts, Cause effect, Check sheets.
  • Evaluate measurement systems Gauge RR
  • Every process has variation and measurement
    system, tools cmm are no exception.
  • Typical your measurement process needs to be
    ACCURATE, REPEATABLE REPRODUCIBLE to less than
    10 of the tolerance you are trying to measure to
    proven to be so.
  • Select measures of performance
  • QFD Quality Function Deployment is a method of
    defining what the customer needs and what is
    critical to there business success and
    prioritising performance measures to support the
    customers need.

12
Improvement methodology
  • Investigate source of variation
  • (Special cause / Common causes)
  • Stratification of data to get information
  • Cause effect
  • CP CPK
  • Fault tree
  • Contingence analysis
  • FMEA (Failure Mode Effect Analysis)
  • Design of experiments (DOE)
  • Detailed process maps

Analyze
Seek to- Prioritise Understand Clues Causes
Monitor improvements Look for signals
13
FMEA (failure mode effect analysis)
Why Battles are Lost
Lost Shoe
Lost Nail
Lost Horse
Lost Soldier
Lost Battle
  • FMEA
  • Identifies the ways in which a product or process
    can fail
  • Estimates the risk of specific causes with regard
    to these failures
  • Prioritizes the actions that should be taken to
    reduce the chance of failure

14
DOE - (design of experiments)will help us
identify...
  • factors which shift the average
  • factors which affect variation
  • factors which shift the average and affect
    variation
  • factors which have no effect

15
DOE - (design of experiments) Measure the Process
Establish the performance baseline
Controllable Inputs
X1
X2
X3
Quality Characteristics Outputs
Inputs Raw Materials, components, etc.
The Process
Y1, Y2, etc.
N1
N2
N3
Uncontrollable Inputs
16
DOE - (design of experiments) Analyse the Process
Controllable Inputs
Quality Characteristics Outputs
The Process
Inputs Raw Materials, components, etc.
Y1, Y2, etc.
Uncontrollable Inputs
17
DOE - (design of experiments) Improve the Process
Controllable Inputs
X
Quality Characteristics Outputs
X
Inputs Raw Materials, components, etc.
The Process
Y1, Y2, etc.
X
Uncontrollable Inputs
18
DOE - (design of experiments) Control the Process
Error Proofing
Quality Characteristics Outputs
LSL
USL
Inputs Raw Materials, components, etc.
Y1, Y2, etc.
The Process
Work Instructions 5 Cs
Check Lists
19
Analyze
  • Investigate source of variation (Special cause /
    Common causes)
  • Special cause variation are the one off,
    occasional and obvious cause of a process /
    quality problems.
  • Common cause variation are the day in day out
    causes of process problems, because the process
    is not stable enough, they are hidden (these form
    80 of process problems)
  • Conventional non-conformance management systems
    seek to solve special cause variation (e.g.
    concessions) - but these only represent 15 - 20
    of the total variation.
  • 6 Sigma addresses all variation.

20
Improvement methodology
  • Prioritise improvements
  • Impact Vs Effort
  • Brainstorming
  • Affinity diagrams
  • Solution selection matrix
  • Tactical implementation plans
  • Deliver improvements (reduce variation
    systematically)

Improve
Customer protection Get control Improve process
21
Improve
  • Prioritise improvements
  • Tool commonly in uses are, Impact Vs Effort,
    Brainstorming, Affinity diagrams, Solution
    selection matrix.
  • These tools help define the best method to meet
    the customer need (as defined in the QFD)
  • Tactical implementation plans
  • Deliver improvements to reduce variation
    systematically i.e. make a change, note the
    improvement and make the next improvement.
  • Critical we need to establish that any change is
    a change for the good.

22
Improvement methodology
  • Control the process
  • Recover
  • Control plans
  • Escalation process
  • Prevent
  • Poke yoke (mistake/ error proof)
  • Monitor
  • Control charts
  • Checksheets
  • Documentation and Standardisation

Control
23
Control
  • Control the process
  • Recover, Control plans, Escalation process.
  • Prevent by Poke yoke (fool proof the process) to
    fundamentally remove the rood causes of process
    variation.
  • Monitor, Control charts, Checksheets,
    Documentation and Standardisation, to ensure that
    stable process is maintained and that the process
    does not degrade.
  • The objective is to remove the root causes of
    process variation, management are only left with
    a few critical input variables in the process
    that need controlling and not all inputs as
    before.

24
Where does 6 Sigma fit with Lean
  • Lean and 6 Sigma both seek to deliver business
    improvement
  • They are different in the methods used and tools
    employed
  • Lean typically address the total manufacturing
    environment
  • 6 sigma typical address the root cause of process
    variation
  • There is significant benefit from using the most
    appropriate tools and improvement methodology to
    meet the customer requirements

6 Sigma improvements
Lean improvements
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