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Army Lean Six Sigma

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Despite Lean Six Sigma being around for over twenty years now, it is remarkable that a significant number of companies and individuals still don't really know what it is. Oh, they've heard of it, and may even have been involved in it, but when it comes to defining it or reaping the huge benefits it can offer, then far too many are still in the dark.



A few of the frequently asked questions from students and companies regarding Lean Six Sigma and how to use it are rehearsed below, together with some answers to these questions.

What's the difference between Lean Six Sigma and other problem solving methods?

There are any number of ways to solve problems, some work better than others, however.

The trial and error problem solving method, sadly still in use, is the equivalent of groping in the dark, with little or no data, little or no method and often little or no idea. The result, quite predictably is ‘little or no improvement'.

The ‘Just do it' method, where the problem solver is encouraged to jump straight into process changes, can be effective if the problem and root cause are understood and the person doing it knows what they are doing but the method lacks rigour and repeatability.

More advanced methods such as CEDAC (Cause and Effect with the Addition of Cards) or 8D (Eight Disciplines) are more structured. These methodologies utilise simple and often subjective tools such as the Fishbone Diagrams and Pareto analysis, however, and lack statistical rigour. 8D for example is a useful method to employ when reacting to customer problems.

Lean Six Sigma uses the DMAIC process of Define, Measure, Analyse, Improve and Control to solve problems. The methodology is data centric with excellent tools that are more powerful because they offer statistical validity. They are sill easily learnt, however, if taught by seasoned professionals. Usually run as a project based strategic deployment or improvement method, Lean Six Sigma has proved to be an effective problem solving method with average savings, according to the DTI, of £150,000 per project.

I want to progress my career and wondered if training in Lean Six Sigma will help me?

In a word YES! The disciplined and structured approach combined with the tools and method of Lean Six Sigma are all highly effective and will help you to be more successful at solving problems and making improvements in your place of work. Typically, people who bring a Lean Six Sigma qualification to a job can command 10 to 15% higher salaries than an equivalent untrained applicant.

What's the best way to identify projects for Lean Six Sigma?

The good thing about Lean Six Sigma is that there is a whole suite of tools to use to identify projects. An enterprise level Value Stream Map can be used to highlight projects in context to the whole company.

A Cost of Quality analysis usually identifies a host of projects to work on and techniques like Voice of Customer and Customer Journey will illuminate the customer's perspective of what are the important projects to choose.

Undoubtedly though, the best way to identify projects is through a strategic deployment process, which takes in to account the external and internal customer perspective and aligns projects and goals to strategic objectives.

How do I keep my projects on track?

Well, the best way to keep projects on track, is to employ the age old adage of discipline. However a number of techniques, employed in Lean Six Sigma, can be useful to aid you in keeping projects on track.

It is important to spend time and effort upfront defining your Project Charter (a semi formal contract between the Belt and the Company detailing the problem to be solved and the resources required to solve it) and get buy-in from stakeholders. This can't be emphasised too strongly. Poor planning and communication are the main reasons projects go wrong. The SigmaPro Lean Six Sigma tools will come in handy here.

Plan your activities and assign responsibilities, then meet regularly to review progress. The frequency of meetings will determine the pace of the project. Hold well structured meetings, here's where the discipline comes in, and tackle delays and issues quickly to keep the project on track.

Treat your project as a process. Define it, choose KPIs (Key Performance Indicators) such as DMAIC stage reviews and monitor progress. A good way to do this is to have a ‘war room' or notice board with project measures and progress easily accessible and simple to understand. Hold your meetings there, stood around your progress charts. This usually keeps meetings focused and short! And don't forget - “what gets measured gets done!”

What is your favourite Lean Six Sigma tool?

Lean Six Sigma has such a wide variety of rich tools to choose from but if I were to pick a favourite it would be Regression Analysis. It is simple but extremely powerful.

A company once needed help to set up a Design Of Experiments trial and analyse the results to optimise the drying times of various sized components in an oven. There were 5 variables and each trial could take up to three hours to complete. Even using experiment reduction techniques the work to set-up and run the experiment would have taken over a month to complete with considerable disruption to production.

However, good quality data on the five variables had been taken over a period of time. It was a relatively simple task, taking less than a day, to run the data through a regression analysis and produce an algorithm describing the drying time as a function of these five variables.

The model proved to be highly accurate and simple to use. Needless to say the company was extremely pleased and enrolled several of their staff on a Lean Six Sigma course in order to have their own capability in-house.

Lean Six Sigma is an effective tool for improving business processes of all kinds. By adopting a grading system from Yellow Belt at the starter level, through Six Sigma Green Belt and Six Sigma Black Belt to Six Sigma Master Black Belt at the expert level, Lean Six Sigma can effectively engage a range of people with varying levels of ability and disciplines to make impressive improvements in any business.
Army Lean Six Sigma
The term “six sigma" is defined as a statistical measure of quality, specifically, a level of 3.4 defects per million or 99.99966% high-quality. To put into practice the Six Sigma management philosophy and achieve this high level of quality, an organization implements the Six Sigma methodology. The fundamental objective of the Six Sigma methodology is the implementation of a measurement-based strategy that focuses on process improvement and variation reduction through the application of Six Sigma improvement projects. Projects are selected that support the company's overall quality improvement goals.

A Six Sigma project begins with the proper metrics. Six Sigma produces a flood of data about your process. These measurements are critical to your success. If you don't measure it, you can't manage it. Through those measurements and all of that data, you begin to understand your process and develop methodologies to identify and implement the right solutions to improve your process. Six Sigma’s clear strength is a data-driven analysis and decision-making process—not someone's opinion or gut feeling.

Metrics lie at the heart of Six Sigma. Critical measures that are necessary to evaluate the success of the project are identified and determined. The initial capability and stability of the project is determined in order to establish a statistical baseline. Valid and reliable metrics monitor the progress of the project. Six Sigma discipline begins by clarifying what measures are key to gauging business performance, then it applies data and analysis to build an understanding of key variables and optimize results. Fact driven decisions and solutions are driven by two essential questions: What data/information do I really need? How do we use that data/information to maximize benefit?

Six Sigma metrics are more than a collection of statistics. The intent is to make targeted measurements of performance in an existing process, compare it with statistically valid ideals, and learn how to eliminate any variation. Improving and maintaining product quality requires an understanding of the relationships between critical variables. Better understanding of the underlying relationships in a process often leads to improved performance.

To achieve a consistent understanding of the process, potential key characteristics are identified; the use of control charts may be incorporated to monitor these input variables. Statistical evaluation of the data identifies key areas to focus process improvement efforts on, which can have an adverse effect on product quality if not controlled. Advanced statistical software such as Minitab or Statgraphics, are very useful if not essential for gathering, categorizing, evaluating, and analyzing the data collected throughout a Six Sigma project. Special cause variation can also be documented and analyzed. When examining quality problems, it is useful to determine which of the many types of defects occur most frequently in order to concentrate one's efforts where potential for improvement is the greatest. A classic method for determining the "vital few" is through a Pareto chart.

Many statistical procedures assume that the data being analyzed come from a bell-shaped normal distribution. When the data to be analyzed does not fit into a normal bell-shaped distribution, the results can be misleading and difficult to discern. When such data distribution is encountered, other statistical techniques can be used to assess whether an observed process can reasonably be modeled by a normal data distribution. In such cases, either a different type of distribution must be selected or the data must be transformed to a metric in which it is normally distributed. In many cases, the data sample can be transformed so that it is approximately normal. For example, square roots, logarithms, and reciprocals often take a positively skewed distribution and convert it to something close to a bell-shaped curve. This process will uncover significant statistical variation, separating the important data from meaningless data “noise."

Once the data is crunched and a problem’s root causes are determined, the project team works together to find creative new improvement solutions. The data is used and relied upon—it is the measurements of the realities you face! Yet it is smart measurement and smart analysis of the data—and above all the smart creation of new improvement solutions and their implementation—that create real change. The Six Sigma statistical tools are only the means to an end and should not be construed as the end itself. Using tools properly is critical to getting the desired result. Through a successful use of statistics in uncovering significant data, Six Sigma will drive an organization toward achieving higher levels of customer satisfaction and reducing operational costs.

Peter Peterka is President of Six Sigma us. For additional information on Six Sigma Master Black Belt or Minitab Training programs contact Peter Peterka http://www.6sigma.us

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About Author
Both David Cowburn & Peter Peterka are contributors for EditorialToday. The above articles have been edited for relevancy and timeliness. All write-ups, reviews, tips and guides published by EditorialToday.com and its partners or affiliates are for informational purposes only. They should not be used for any legal or any other type of advice. We do not endorse any author, contributor, writer or article posted by our team.

David Cowburn has sinced written about articles on various topics from Six Sigma. David has over 25 years of running and managing businesses and extensive experience of both commercial/sales and operational/production functions. David supports clients with a wide range of business issues and provides a high value added ervice. For late. David Cowburn's top article generates over 720 views. to your Favourites.

Peter Peterka has sinced written about articles on various topics from Six Sigma, Leadership and Six Sigma. Peter Peterka is President of us. For additional information on. Peter Peterka's top article generates over 12100 views. to your Favourites.
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