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Highlights of our full range of training courses / Workshops:Lean & Agile Supply Chain / Inventory Modelling Lean & Agile Manufacturing Planning & Control Operations Management / Team Leader Training Step Change Management / Business Process Reengineering Procurement (Purchasing & Supplier Management) Product Management / New Product Introduction / Quality Management
Bookmarks for this topic below:
Relevant Training Course / In-house Workshop Highlights:D03 Six Steps to Near Perfect Quality C01 Focused Improvement Systems (Identifying Waste & Establishing Durable Continuous Improvement) C02 Setting Key Performance Indicators C04 Continuous Improvement Basic Tools & Techniques
Relevant Further Reading: The following further articles were mentioned in this paper:a. Permanently Maintained Website Articles:
b. Previously Featured Articles from our Archives (Up to 2 per organisation available on request): B001: Ownership B002: Education and Training B003: Procedures & Documentation B006: Scarce Skills Management B019: Archiving B021: FRACAS
T007 CARAP Analysis T009: FAB Analysis T013: SWOT Analysis T028: Paired comparison
M001: Buying cheap M004: Creating the wrong culture M006: Hitting the Numbers |
Six Steps To Near-Perfect Quality
This article discusses the barriers to near perfect quality and tasks required to achieve it.
Links to related training and further reading on left
Before discussing the six steps we need to discuss what "near-perfect" is and why perfect quality (zero defects) is not just difficult, it is nearly impossible. But you can make imperfect quality highly improbable! As Douglas Adams would say, we need to create "an infinite improbability drive". All processes produce variable results. In statistical terms, in order to produce no faults the tolerance must be infinitely large in relation to the process capability. Therefore however good your process, statistically there will occasionally be errors. In the normal distribution, plus or minus 3 standard deviations represents approximately 99.7% of the population (3 errors per 1000). So if your process produces normally distributed products or services and the tolerance required is equal to process variation (six standard deviations around the mean) then on 0.3% of occasions errors will arise. A common definition of a "capable process" in Statistical Process Control (SPC) is that tolerance should be >1.3 x process variation, (from which you can expect approximately 15 faults per million), (commonly expressed as Parts Per Million and abbreviated to PPM).
Plus or minus 6 standard deviations (tolerance = 2 x process capability) represents less than 1 fault per million, (the ratio commonly used in "Six Sigma") (where the Greek letter Sigma (σ) is the mathematical shorthand for standard deviation) . Also we disagree with the concept of "cost of quality" as a means of providing motivation for quality improvement. Where we have seen attempts to cost quality they have in our view been gross underestimates. The biggest single cost is losing a valued customer and we have not found a satisfactory method to cost that, but the effect will certainly be felt in next year's profit and loss account. Secondly it is that is commonly assumed that quality can be achieved by precision processes & equipment staffed by super-humans. It is not! Quality is influenced by a number of factors as we will show below. Thirdly we will argue that whilst this topic is commonly described as "quality control", in fact quality control only forms one of the six topics (the last of the six steps) and therefore alone quality control cannot reach near-perfect quality. We will now discuss how to get close to perfect quality by examining the six topics in detail:
The Six Steps
Step 1: Determine Customer ValueOne way to judge quality is, "does it satisfy the customer need?". This used to be the case, but is no longer so. There is a significant difference between customer "needs" and customer "wants". Delighting the customer" is a common current phrase, and customer satisfaction surveys are a common means of assessing our ability to determine what the customer values (and thereby what the customer does not value). We need reliable methods of determining what the customer values. We use a number of techniques involving customers such as "paired comparison", "FAB analysis", "SWOT analysis" & "Quality Function Deployment" (future article) in trying to understand what customers value. Having established what customers value we are now in a position to write down a specification of product or service which can satisfy this, "the design brief". This design brief must be expressed in language that the customer would recognise first of all, before we can convert this to a product or service specification which we aim to provide. We use a special form of FAB analysis in reverse as follows:
Unfortunately many processes designed to deliver features for products have not been subjected to this rigour! This can result in both over-engineering, or under-engineering (future article). Also required performance characteristics have to be evaluated not just in functional terms but also in terms of service criteria and therefore other criteria need to be considered such as risk or innovation (for a full list see Previous Malpractice M003: Buying cheap). These requirements then have to be then matched to our ability to deliver that in terms of our process capability. Requirements which cannot be reliably delivered are bound to end in tears. This then brings us to defining a tolerance for our specification which can be met reliably. Again the main criteria is "would the customer notice if it was outside this tolerance". Only now can we set tight pass / fail limits to this. Concessions are then no longer a feature of quality control!
Step 2: Culture(Also see Previous Malpractice M004: Creating the wrong culture)Mostly ignored completely, the topic of quality culture is perhaps the most vital ingredient in delivering a quality product or service. If no-one thinks quality is important, it will not be! There are a minimum of six ingredients to delivering a quality culture as follows:
Step 3: PlanningBefore you can have control you have to have a plan. However whilst you often hear the words "production planning" as a job title or as a function, how many times have you heard the words "quality planning". Quality planning is a vital integrating role which aims to:
It is the planning envisaged by Deming in the "Plan Do Check Act" (PDCA), or "Plan Do Study Act" (PDSA) cycle as it is sometimes called. Planning includes the establishment of:
Step 4: Best MethodThere is some confusion as to what determines the best method. Therefore it is often either not achieved, or not used by everyone. There are three separate issues here:
The specification from step 1 is not negotiable!
Step 5: Institutionalise / Corporate LearningOnce the best method has been determined the next step is to ensure that this method is institutionalised permanently into working practice. The 19th century Austrian mathematician and physicist Ludwig Boltzmann showed that "everything returns to nothing" with his equation for exponential decay as follows:
The best methods will "return to nothing" under this universal systems law as the business, people & environment changes, unless the method is institutionalised. One of the biggest criticisms of managers is that problems have to be solved many times because the lessons have not been comprehensively learned and the revised practice not corporately implemented (as opposed to, by individuals). This can be achieved in the following ways:
Step 6: ControlLast but no means least (and the one you probably thought you were doing) is the establishment of a quality control system. However we think again that there is a common misunderstanding of this role. Firstly this is commonly interpreted to mean "do not let our poor quality performance be noticed by real customers". In far too many cases however you are undoubtedly aware that even this undemanding standard is not achieved! (Call centre response times spring to mind at this point!) Secondly we do not believe in the philosophy of Total Quality Management or Total Quality Control (TQM) (or "total anything" as a matter of fact). The conventional wisdom of Total Quality Management (See "Lean Manufacturing") is "let's improve everything". Time and resources are too precious for this! We believe in a focused approach to improving the things which differentiate your product and processes, or which contribute to a quality culture (above). All this can be achieved as follows:
In conclusion therefore, we insist that near perfect quality is only possible by:
But most of all, following the six steps! ___________________________________________________________________________ |
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Think Differently!
Whilst great care has been taken to provide relevant, accurate, practical, advice based on our considerable process design and development experience, this will almost certainly require interpretation into the context of your unique business. Please be careful in doing so and if in doubt seek expert advice. We would welcome your feedback!
© SM Thacker & Associates 2010
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