Title: Six Sigma Overview
1Six Sigma Overview
2The 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
3History 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
46 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
5Understanding 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
6Improvement 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
7Improvement methodology
D M A I C
Define
Measure
Analyze
Improve
Control
8Improvement 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
9Define
- 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.
10Improvement 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
11Measure
- 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.
12Improvement 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
13FMEA (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
14DOE - (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
15DOE - (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
16DOE - (design of experiments) Analyse the Process
Controllable Inputs
Quality Characteristics Outputs
The Process
Inputs Raw Materials, components, etc.
Y1, Y2, etc.
Uncontrollable Inputs
17DOE - (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
18DOE - (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
19Analyze
- 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.
20Improvement 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
21Improve
- 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.
22Improvement methodology
- Control the process
- Recover
- Control plans
- Escalation process
- Prevent
- Poke yoke (mistake/ error proof)
- Monitor
- Control charts
- Checksheets
- Documentation and Standardisation
Control
23Control
- 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.
24Where 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