Articles by Results

SPC - Understanding Statistical Process Control

Posted by Graham Cripps on Mon, Jul 06, 2015 @ 12:07 PM

Understanding Statistical Process Control (SPC)

Having reviewed feedback from visitors to our website we have found that we get a lot of requests for information on Statistical Process Control (SPC).

SPC_blog_chart_1We will be launching a series of articles during the next couple of weeks that aim to provide a foundation understanding of SPC and it's application, this will hopefully help you make an informed choice about whether SPC is the correct tool for you!

Our intention is to provide a solid foundation for understanding SPC, the terminology, metrics and uses of SPC along with  useful resources which can be downloaded and customised to suit your specific requirements, the first of which (X-bar and R chart) is available below.

My job takes me into all types of business, and I often find SPC charts being displayed, but when I ask the client they are either not correctly used or not correctly interpreted.

SPC_blog_chart_2The articles will be broken down into small bite size offerings that can be used for future reference. We will also be making available the relevant resources, including an SPC chart, calculation sheets and a table of constants along with some recommended further reading.

 

The information will be split into the following articles for ease:

  • The basic statistics behind SPC (for variable data)
  • Probability and SPC
  • Collecting and plotting data (using the X-bar and R chart)
  • Interpreting the chart, including the seven points rule
  • Understanding capability
  • Applying SPC

The article structure will be on our website so if there is something that interests you, keep an eye out!  You can sign up to receive notifications to our Blogs here and our Facebook page can be found here.

If there are any SPC questions we haven't answered, or for any queries or feedback, let us know either via the contact form here or by emailing julie.camp@resultsresults.co.uk

 

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Topics: six sigma, Statistical Process Control, SPC

Six Sigma - What is it and what can it do for my Organisation?

Posted by Graham Cripps on Thu, Jun 18, 2015 @ 04:45 PM

Six Sigma (6σ) 

6σ is a disciplined, data-driven approach and methodology for reduction of variation in any process – from manufacturing to transactional, product to service and in many organisations, 6σ refers to a measure of quality that continually strives for near perfection (minimal variation in all processes).

The idea behind 6σ is that if you understand your processes you can systematically establish all sources of variation and work to reduce the variation.

Useful Resources:  Sigma Conversion Chart, DMAIC Structure, Six Sigma Blog

6σ Fundamentals

Six Sigma is based on some fundamental principles, these are:

  • Y=f(X) - All process outcomes (the Y) are a function of the inputs (the Xs) and the process itself. This takes into account the known variation
  • To reduce variation in the process output (the Y), you have to focus on the inputs (the X’s) and the process itself (the f)
  • Variation is everywhere, it is a fact of life but must be understood and managed. The point of utilising 6σ tools and techniques is to understand the variation and minimise it!
  • Valid measurements and data are required foundations for consistent improvement.
  • Only a critical few inputs and process steps have significant effect on the output. Concentrate on the critical few

6σ Measures

The measures for 6σ that are used are:

  • DPMO – defects per million opportunities
  • Yield – percentage yield of the process
  • Process σ – the measure of dispersion of the process output about the mean

Having a process sigma value of 6σ (+/- 6σ) will reflect a process that will, over time, produce no more than 3.4 defects per million outcomes.

 

DMAIC – Define, Measure, Analyse, Improve, Control (plus Replicate)

The DMAIC project method is a formalised problem-solving process. The five steps to can be applied to any procedure of a business to improve effectiveness.

  1. Define: Set the context and objectives for your improvement project.
  2. MeasureDetermine the baseline performance and capability of the process or system you’re improving.
  3. AnalyseUse data and tools to understand the variation in the process, their root causes and effects on other processes
  4. ImproveDevelop the modifications that lead to a validated improvement at root causes level in your process or system.
  5. ControlEstablish plans and procedures to ensure that your improvements are sustained, the new way.

PLUS – ReplicateTake the lessons learnt to improve similar products or processes

 

6σ Hierarchy

6σ is driven via a tiered system of technicians, whose level of authority and responsibility is denoted by their belt colour’ –Yellow Belt, Green Belt, Black Belt, Master Black belt

Yellow Belt – active member of a project team with a basic understanding of the Six Sigma tools and familiar with the DMAIC process. The Yellow Belts main function is data collection and problem solving and they will be heavily involved during the project testing and implementation stages of a project.

Green Belt – are more conversant with each of the five steps (DMAIC) and the tools and techniques used. They are supervised by the Black Belt and will assist at all stages of a project, but are heavily involved at the implementation stage of any project in their operational area. Green Belts may also lead teams on small improvement projects

Black Belt – will have a clear working understanding of and the ability to use Six Sigma principles, tools and techniques. They provide the lead on improvement project teams in areas outside their own operational area as they have a good understanding of the organisation as a whole. They will possess leadership skills and understand the dynamics of a team, able to assign roles and responsibilities within their teams as appropriate and required, with the ability to motivate these teams through the DMAIC process to accept and implement the required changes. They will lead teams and projects to drive through improvements in product and service delivery processes. They will also participate in the training and development of the Yellow and Green Belts in the required tools and techniques required.

Master Black Belt – experts in the tools and techniques of Six Sigma, and responsible for the planning of the improvement projects, normally in conjunction with the Senior Management Team (sometimes supported by a Champion / Sponsor). In order to attain Master Black Belt status they will have completed at least three projects at Black Belt level and the role is normally full time with the Master lack Belt managing several concurrent projects cross functional teams

 

Topics: six sigma

ISO Launches New Standard for Six Sigma

Posted by Paul Caffery on Tue, Jun 05, 2012 @ 10:12 AM

Paul Caffery - MD of ResultsFrom my perspective, this is a very welcome development as it emphasises the language of business, basing all projects on a sound business case using proven tools and techniques to deliver:

      • Improved performance
      • Improved customer satisfaction
      • Risk management
      • Defect prevention and elimination
      • Value measurement throughout
      • Increased profitability.

It also articulates the need for a robust infrastructure, through:

  • The creation of roles
  • Clear responsibilities
  • Demanding projects that require:
    1. A business case
    2. Common vetting
    3. Clearly defined methodology (DMAIC).

At this stage, certification is not within the scope of ISO 13053, although I expect that it will be developed as implied in ISO 13053-1:2011. So, in the meantime there may be a take up by:

  • OEMs and Blue Chip companies who wish to drive the standard through to their sub-contractors
  • Existing ISO 9000 clients who wish to apply the powerful tools of Six Sigma for top performance
  • Visionary leaders who wish to accelerate their enterprises to optimised performance.

The major focus of Part 1 of the standard is personnel and their roles, required competencies, training requirements, project prioritisation and selection; outcomes required of the DMAIC methodology and the tools employed.

All of this is considered for Large, Medium, Small and Multiple sites and supported by template training agendas and informative factsheets for the tools and methods.

In summary, the new Six Sigma standard provides an excellent roadmap of what needs to be done to implement and integrate Six Sigma into an enterprise. The challenge is how to implement.

This challenge may be met by applying leading edge training methods at all levels of enterprise in order to qualify and certificate Six Sigma practitioners. How will we know if the training is effective? The answer lies in the follow up to coach and mentor Six Sigma practitioners at all levels and to evidence practical application of the Six Sigma tools against a national standard.

Recently, vocational qualifications have become more responsive to the demands of employers and learners through the Qualifications and Credit Framework (QCF) which is the new framework for creating and accrediting qualifications in England, Wales and Northern Ireland. The QCF gives a wider range of learners the opportunity to get the qualifications they need, in a way that suits them. QCF qualifications are designed with the help of employers so learners can be assured that they're gaining skills that employers are looking for. The QCF:

  • recognises smaller steps of learning, enabling learners to build up qualifications bit by bit
  • helps learners achieve skills and qualifications that meet industry needs
  • enables work-based training to be nationally recognised
  • thus creating a transferrable qualification.

Most of the tools and techniques referenced in Part 2 the Six Sigma standard are available as individual units with detailed performance and knowledge criteria for assessment purposes.

Are we one step away from a National Qualification in Six Sigma?

Topics: six sigma

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