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Six Sigma, a sophisticated
quality and cultural change programme, was first conceived by Motorola during the
early 1980s, and has been prominently adapted and extended within General Electric
over the past five years. Initially intended to apply only to manufacturing and production
processes, GE Capital has proven beyond a shadow of a doubt that the Six Sigma
methodology is also extremely powerful and successful for virtually any service-related
transactional process. Applying Six Sigma to an organisation is a major undertaking,
involving the three principle elements of Enhanced Customer Focus, Empowered
and Valued Employees, and Improved Processes. The success of Six
Sigma in some of the companies who have taken it to the very heart of their organisation
has been remarkable, and very profitable both financially and in terms of softer issues
such as esteem and value in the market-place. To be successful in implementing Six Sigma
requires a high degree of dedication as well as the astute attention to detail for may
critical factors. Total involvement by all, a passionate drive from the very top of the
organisation, and sufficient resources are just three critical ingredients for success.
Businesses in the UK and Europe wishing to follow the enviable successes of organisations
such as General Electric and AlliedSignal will need to follow a well
considered and implemented strategic plan, and Mulbury Consulting offer valuable analysis,
advice and insight, and real practical support in all of the key areas. Six Sigma is both
a methodology and a key element in any organisation's strategy plan.
Are the people in an organisation who ultimately sponsor and nurture quality projects.
Generally from senior management, they will have the enthusiasm, resources and drive to
ensure the ultimate success of the quality improvement project in their care. The process
of change within an organisation must be lead from the top, and must be visibly supported
and encouraged at all times. Organisations need to ensure that Quality Project Sponsors
understand Six Sigma, have buy-in to the ideals and concepts, and are keen to see change
take place.

Are internal or external consultants, acting as 'agents of change' within an
organisation. They must understand the principles and tools of Six Sigma fully, and be
able to act as consultants for both technical issues and for organisational and cultural
change management issues. They require a wide ranging knowledge and skill set -
statistics, computer literacy, people skills, training, project management and diplomacy
to name but a few. A typical MBB will coach and mentor perhaps four to six 'Black Belts'.
The development of Six Sigma and Total Quality Management comes principally from Japan and
America, and the use of such terms as 'Master Black Belt' are therefore to be expected, if
a little strange!

Usually internal staff devoted full-time to quality, Black Belts drive and often lead
individual quality projects. A passion for Six Sigma is more important than expertise,
providing that they have the resource of a Master Black Belt or Six Sigma expert to hand.
Black Belts can lead quality improvement teams, although it can be more appropriate if
someone else from the business leads the team, and the Black Belt facilitates the meetings
and carries out the in-between meeting work, such as data analysis and the complex
statistics often involved..

Six Sigma Quality Methodology - first developed by Motorola during
the 1980s - is the application of Total Quality Management and Statistical
Process Control with the aim of achieving effectively zero defects for the
customer. GE Capital was the first entirely service transaction
based company to apply and extend Six Sigma. In practice, the application of Six Sigma has
reduced defects in core processes, increased customer satisfaction, reduced waste and
costs, and begun a process of cultural change toward totally customer focused quality. For
General Electric as a whole, in the first five years the Six Sigma Quality Initiative added over $3 billion to the company net income.
Six Sigma is a concept and goal, as well as a methodology. The goal is to achieve a
defect rate that is as close to zero as is humanly possible, and the methodology applies
focused customer research, process mapping, and TQM tools to identifying defects in
processes and then entirely eliminating them through process improvement techniques.
Six Sigma goes beyond standard TQM initiatives in being firmly based on scientific and
repeatable measurements, and centred on a customer point of view. This ensures that
quality is customer driven, and that improvements are substantiated and can be attributed
back to financial gains.

To arrive at zero customer defects usually means that existing processes have to be
improved or rebuilt from scratch. Six Sigma uses the concepts embodied in Total Quality
Management to facilitate process change, and this is usually carried out by a
cross-functional team from the organisation.
Quality projects have one principle aim - to improve (usually) a single process
by reducing defects, eliminating waste and inefficiency, and increasing customer
satisfaction. The project must be carefully selected and resource by the business
management, and sponsored by a key individual from the organisation. Every team requires a
leader, and sufficient team resources to provide knowledge, skills and fresh ideas to the
group.
A key difference between TQM and Six Sigma is the use of key metrics and applied
statistics to identify and quantify performance, and then to assist with identifying the
root causes for defects. Another key difference is the almost overtly passionate drive
towards a customer-centric focus. This will inevitably mean that new teams require
training in both teamwork skills, TQM tools and techniques, and also Statistics, customer
research and the concepts behind Six Sigma.

Six Sigma Quality uses a range of tools from standard TQM, as well as many tools from
Statistical Process Control and customer research. More advanced Six Sigma, where new
processes are designed, will use such tools as Quality Function Deployment, and Failure
Mode Effect Analysis to aid the design of new processes from scratch.
Tools cover areas such as customer survey and research, business process analysis,
statistical data collection and analysis, project management and team building, cause and
effect analysis, new idea creation and evaluation, project management and implementation,
and effective meeting skills as well as cultural and change management.

TQM in practice consists of a number of tools and techniques for continuous quality
improvement. Ultimately, TQM is about inducing and enabling a 'cultural' change within an
organisation, with the aim of improving quality and providing a culture of ongoing and
continuous improvement.
TQM has, traditionally, been hampered in its effectiveness by a lack of concrete and
measurable goals and targets. Six Sigma as a methodology utilises the best existing tools
and techniques, but provides a novel and effective 'yard-stick' by which improvement can
be measured, together with statistical analysis that aids with identifying and selecting
appropriate process improvement solutions.
Many companies have, in the past, applied TQM of one form or another, with various
degrees of success. The long term failure of TQM to radically change an organisation is
perhaps most likely due to lack of visible and measurable success, a
problem that the Six Sigma concept can well address.

SPC - Statistical Process Control - has been in use in industrial applications since
early beginnings almost 80 years ago. All processes exhibit natural variation, which has
to be controlled within acceptable limits, and special cause variation, which needs to be
eliminated from the process. In manufacturing, and particularly production lines,
statistical methods are commonly used to continually monitor certain characteristics of a
process to look for early signs of changes in the natural or special variation. Such
control is used to ensure that the output from the process remains within the expected and
specified standards.
The result of applying a Six Sigma quality improvement project will be a reduction in
the number of defects from a process, possibly by a factor of 10 or even better. Once the
project is complete, however, there is little point in just letting the status quo return,
and applying SPC principles to the process is just one way of ensuring that the
improvements will continue well in to the future. The use of Control Charts and Process
Monitoring, with a sound and well implemented action plan, can ensure that processes
continue at the improved level of performance, and may even continue to improve.

The statistical basis for Six Sigma is that almost every measurable characteristic of
any process demonstrates natural variation, and that such variation demonstrates the same
behaviour as the Normal Distribution.
Statistics theory can describe the shape and behaviour of the Normal Distribution in
terms of the average or mean value, and the spread or sigma value. Once the particular
normal distribution has been identified for a given process characteristic, and
knowing the customer limits for acceptable quality, it is possible to determine how much
of the distribution falls outside of these customer limits. In existing quality practice, three
sigma measures either side of the average has been the accepted standard, which (in
practice) leaves approximately 7% of the distribution falling outside of the customer
limits. In the Six Sigma philosophy, the aim is to ensure that six sigma measures
either side of the average fall within the customer limits, which will leave less than
0.0004% of the distribution falling outside of the customer limits. This is as close to
perfection as is humanly possible.
An understanding of the Normal Distribution and associated statistical theory is
therefore helpful (if not crucial) in fully understanding Six Sigma and the application to
process improvement.

In Six Sigma, the aim is to first identify core processes - processes of an
organisation that add value to the final product or service delivered to the
customer. The next step is to identify the measurable and actionable key
characteristics of these processes that directly impact the perceived quality of the
process, product or service. Such key characteristics are called CTQs or Critical To
Quality characteristics.
For example, in purchasing an item from a departmental store - the core process is
'purchase' - and the CTQs for this process might be identified as Speed, Accuracy,
and Ease of Use. That is, if the store fails to deliver a speedy, accurate, and
easy to use process at purchase, the customers of this process will respond that it is not
a quality service. To complete the CTQs it is necessary to identify the measurable levels
for which quality is deemed satisfactory by the 'average' customer. Here, it might be
found from survey that the CTQs are:
Speed - transaction takes less than 2 minutes from joining a queue to completion
Accuracy - all elements (charged amount, delivery details, item codes) are correct
every time
Ease of Use - 80% of customers rate this service as '4' or '5' in a survey question
"The purchase process is easy to use - strongly disagree 1 - disagree 2 - neutral 3 -
agree 4 - strongly agree 5".
Speed and Accuracy are relatively easy to quantify and measure - Ease
of Use is not, and it may often be necessary to apply a survey result rather than
trying to measure the characteristic directly.

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