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Six Sigma

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from a few that are detailed from the experience of leading organizations like GE and Motorola, most cases are not documented in a systemic or academic manner. In fact, the majority are case studies illustrated on websites, and are, at best, sketchy. They provide no mention of any specific Six Sigma methods that were used to resolve the problems. It has been argued that by relying on the Six Sigma criteria, management is lulled into the idea that something is being done about quality, whereas any resulting improvement is accidental (Latzko 1995). Thus, when looking at the evidence put forward for Six Sigma's success, mostly by consultants and people with vested interests, the question that begs to be asked is: are we making a true improvement with Six Sigma methods or just getting skilled at telling stories? Everyone seems to believe that we are making true improvements, but there is some way to go to document these empirically and clarify the causal relations.
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for this real-life increase in process variation over time, an empirically based 1.5 sigma shift is introduced into the calculation. Mikel Harry, the creator of Six Sigma, based the 1.5 sigma shift on the height of a stack of discs. He called this "Benderizing". He claimed that based on his stack, all processes shift 1.5 sigma every 50 samples. According to this idea, a process that fits 6 sigma between the process mean and the nearest specification limit in a short-term study will in the long term fit only 4.5 sigma – either because the process mean will move over time, or because the long-term standard deviation of the process will be greater than that observed in the short term, or both.
1175: 1832:, the use of Six Sigma is inappropriate in a research environment. Dodge states "excessive metrics, steps, measurements and Six Sigma's intense focus on reducing variability water down the discovery process. Under Six Sigma, the free-wheeling nature of brainstorming and the serendipitous side of discovery is stifled." He concludes "there's general agreement that freedom in basic or pure research is preferable while Six Sigma works best in incremental innovation when there's an expressed commercial goal." 356: 1816:
accepted Six Sigma scoring system thus cannot be equated to actual normal distribution probabilities for the stated number of standard deviations, and this has been a key bone of contention over how Six Sigma measures are defined. The fact that it is rarely explained that a "6 sigma" process will have long-term defect rates corresponding to 4.5 sigma performance rather than actual 6 sigma performance has led several commentators to express the opinion that Six Sigma is a
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of the 1.5 sigma shift, is commonly referred to as a 4.5 sigma process. The failure rate of a six sigma distribution with the mean shifted 1.5 sigma is not equivalent to the failure rate of a 4.5 sigma process with the mean-centered on zero. This allows for the fact that special causes may result in a deterioration in process performance over time and is designed to prevent underestimation of the defect levels likely to be encountered in real-life operation.
639: 546: 486:. The upper and lower specification limits (USL and LSL) are at a distance of 6σ from the mean. Normal distribution means that values far away from the mean are extremely unlikely—approximately 1 in a billion too low, and the same too high. Even if the mean were to move right or left by 1.5 standard deviations (also known as a 1.5 sigma shift, colored red and blue), there is still a safety cushion. 51: 744: 916:
a set of comparable certification standards for Lean Certification. Criteria for Green Belt and Black Belt certification vary; some companies simply require participation in a course and a Six Sigma project. There is no standard certification body, and different certifications are offered by various quality associations for a fee. The
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organization is not big enough to be able to afford black belts does not diminish its ability to make improvements using this set of tools and techniques. The infrastructure described as necessary to support Six Sigma is a result of the size of the organization rather than a requirement of Six Sigma itself.
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The 1.5 sigma shift has also become contentious because it results in stated "sigma levels" that reflect short-term rather than long-term performance: a process that has long-term defect levels corresponding to 4.5 sigma performance is, by Six Sigma convention, described as a "six sigma process". The
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described Six Sigma as "a basic version of quality improvement", stating that "there is nothing new there. It includes what we used to call facilitators. They've adopted more flamboyant terms, like belts with different colors. I think that concept has merit to set apart, to create specialists who can
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will have 3.4 parts per million outside the limits, when the limits are six sigma from the "original" mean of zero and the process mean is then shifted by 1.5 sigma (and therefore, the six sigma limits are no longer symmetrical about the mean). The former six sigma distribution, when under the effect
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developed certification programs as part of their Six Sigma implementation. Following this approach, many organizations in the 1990s started offering Six Sigma certifications to their employees. In 2008 Motorola University later co-developed with Vative and the Lean Six Sigma Society of Professionals
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One should also note that the calculation of sigma levels for a process data is independent of the data being normally distributed. In one of the criticisms of Six Sigma, practitioners using this approach spend a lot of time transforming data from non-normal to normal using transformation techniques.
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Experience has shown that processes usually do not perform as well in the long term as they do in the short term. As a result, the number of sigmas that will fit between the process mean and the nearest specification limit may well drop over time, compared to an initial short-term study. To account
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The nonconformance situation semiconductor suppliers found recently emerged from embracing the standard of "Six Sigma." This permits 3.4 defects per million components. Why anyone would want to do that is beyond me. But they are now paying the price. When even ordinary chips contain a million or
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The use of "Black Belts" as itinerant change agents has fostered an industry of training and certification. Critics have argued there is overselling of Six Sigma by too great a number of consulting firms, many of which claim expertise in Six Sigma when they have only a rudimentary understanding of
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operate under Master Black Belts to apply Six Sigma to specific projects. They also devote all of their time to Six Sigma. They primarily focus on Six Sigma project execution and special leadership with special tasks, whereas Champions and Master Black Belts focus on identifying projects/functions
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business culture. However, lean management primarily focuses on eliminating waste through tools that target organizational efficiencies while integrating a performance improvement system, while Six Sigma focuses on eliminating defects and reducing variation. Both systems are driven by data, though
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One final criticism, probably more to the Six Sigma literature than concepts, relates to the evidence for Six Sigma’s success. So far, documented case studies using the Six Sigma methods are presented as the strongest evidence for its success. However, looking at these documented cases, and apart
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Another comment refers to the oft-mentioned Transfer Function, which seems to be a flawed theory if looked at in detail. Since significance tests were first popularized many objections have been voiced by prominent and respected statisticians. The volume of criticism and rebuttal has filled books
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More direct criticism is the "rigid" nature of Six Sigma with its over-reliance on methods and tools. In most cases, more attention is paid to reducing variation and searching for any significant factors, and less attention is paid to developing robustness in the first place (which can altogether
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This is a sector that has been highly matched with this doctrine for many years because of the nature of zero tolerance for mistakes and potential for reducing medical errors involved in healthcare. The goal of Six Sigma in healthcare is broad and includes reducing the inventory of equipment that
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considers risk managers little more than "blind users" of statistical tools and methods. He states that statistics is fundamentally incomplete as a field as it cannot predict the risk of rare events—something Six Sigma is especially concerned with. Furthermore, errors in prediction are likely to
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field, it is important to ensure that products are delivered to clients at the right time while preserving high-quality standards. By changing the schematic diagram for the supply chain, Six Sigma can ensure quality control on products (defect-free) and guarantee delivery deadlines, the two main
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Although companies have considered common quality control and process improvement strategies, there's still a need for more reasonable and effective methods as all the desired standards and client satisfaction have not always been reached. There is still a need for an essential analysis that can
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misconceptions is the false belief that the probability of a conclusion being in error can be calculated from the data in a single experiment without reference to external evidence or the plausibility of the underlying mechanism. One of the most serious but all-too-common misuses of inferential
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Some organizations use additional belt colors, such as "yellow belts", for employees that have basic training in Six Sigma tools and generally participate in projects, and "white belts" for those locally trained in the concepts but do not participate in the project team. "Orange belts" are also
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The role of the sigma shift is mainly academic. The purpose of six sigma is to generate organizational performance improvement. It is up to the organization to determine, based on customer expectations, what the appropriate sigma level of a process is. The purpose of the sigma value is as a
873:, identified by Champions, act as in-house coaches on Six Sigma. They devote all of their time to Six Sigma, assisting Champions and guiding Black Belts and Green Belts. In addition to statistical tasks, they ensure that Six Sigma is applied consistently across departments and job functions. 1881:'s Centre for Business Performance is that while Six Sigma is a powerful approach, it can also unduly dominate an organization's culture; and they add that much of the Six Sigma literature – in a remarkable way (six-sigma claims to be evidence, scientifically based) – lacks academic rigor: 1528:
and John Kullmann, companies with fewer than 500 employees are less suited to Six Sigma or need to adapt the standard approach to making it work for them. Six Sigma, however, contains a large number of tools and techniques that work well in small to mid-size organizations. The fact that an
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Six Sigma's implicit goal is to improve all processes but not necessarily to the 3.4 DPMO level. Organizations need to determine an appropriate sigma level for each of their most important processes and strive to achieve these. As a result of this goal, it is incumbent on management of the
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Six Sigma has played an important role by improving the accuracy of allocation of cash to reduce bank charges, automatic payments, improving the accuracy of reporting, reducing documentary credit defects, reducing check collection defects, and reducing variation in collector performance.
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eliminate the need for reducing variation). The extensive reliance on significance testing and use of multiple regression techniques increase the risk of making commonly unknown types of statistical errors or mistakes. A possible consequence of Six Sigma's array of
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made it central to his business strategy. In 1998 GE announced $ 350 million in cost savings thanks to Six Sigma, which was an important factor in the spread of Six Sigma (this figure later grew to more than $ 1 billion). By the late 1990s, about two thirds of the
502:. Originally, it referred to the ability of manufacturing processes to produce a very high proportion of output within specification. Processes that operate with "six sigma quality" over the short term are assumed to produce long-term defect levels below 3.4 340:. The Lean Six Sigma methodology views lean manufacturing, which addresses process flow and waste issues, and Six Sigma, with its focus on variation and design, as complementary disciplines aimed at promoting "business and operational excellence". 860:
and other members of top management. They are responsible for setting up a vision for Six Sigma implementation. They also empower other stakeholders with the freedom and resources to transcend departmental barriers and overcome resistance to
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These figures assume that the process mean will shift by 1.5 sigma toward the side with the critical specification limit. In other words, they assume that after the initial study determining the short-term sigma level, the long-term
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showing a process that experienced a 1.5 sigma drift in the process mean toward the upper specification limit starting at midnight. Control charts help identify when a process should be investigated in order to find and eliminate
1299: 1223:= 0.33). Note that the defect percentages indicate only defects exceeding the specification limit to which the process mean is nearest. Defects beyond the far specification limit are not included in the percentages. 932:
Within the individual phases of a DMAIC or DMADV project, Six Sigma uses many established quality-management tools that are also used outside Six Sigma. The following list shows an overview of the main methods used.
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the data to investigate and verify cause and effect. Determine what the relationships are, and attempt to ensure that all factors have been considered. Seek out the root cause of the defect under investigation.
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statistics is to take a model that was developed through exploratory model building and subject it to the same sorts of statistical tests that are used to validate a model that was specified in advance.
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reported that more than 60% of projects fail. A review of academic literature found 34 common failure factors in 56 papers on Lean, Six Sigma, and LSS from 1995-2013. Among them are (summarized):
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comparative figure to determine whether a process is improving, deteriorating, stagnant or non-competitive with others in the same business. Six Sigma (3.4 DPMO) is not the goal of all processes.
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were reduced by 26.2% and 67% accordingly after adopting Six Sigma. Similarly, Six Sigma implementation was studied at one of the largest engineering and construction companies in the world:
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methods and by hiring people who serve as Six Sigma experts. Each Six Sigma project follows a defined methodology and has specific value targets, such as reducing pollution or increasing
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After its first application at Motorola in the late 1980s, other internationally recognized firms currently recorded high number of savings after applying Six Sigma. Examples include
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Corporation, where after an initial investment of $ 30 million in a Six Sigma program that included identifying and preventing rework and defects, over $ 200 million were saved.
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take responsibility for Six Sigma implementation across the organization. The Executive Leadership draws them from upper management. Champions also act as mentors to Black Belts.
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originates from statistical quality control, a reference to the fraction of a normal curve that lies within six standard deviations of the mean, used to represent a defect rate.
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an article critical of Six Sigma noted: "The dangers of a single paradigmatic orientation (in this case, that of technical rationality) can blind us to values associated with
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One key innovation of Six Sigma involves professionalizing quality management. Prior to Six Sigma, quality management was largely relegated to the production floor and to
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According to proponents, special training is needed for all of these practitioners to ensure that they follow the methodology and use the data-driven approach correctly.
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cracks and slippage between concrete and steel. After conducting a case study on Tinjin Xianyi Construction Technology, it was found that construction time and
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Albliwi, S.; Antony, J.; Halim Lim, S.A.; van der Wiele, T. (2014). "Critical failure factors of Lean Six Sigma: a systematic literature review".
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with language seldom used in the scholarly debate of a dry subject. Much of the first criticism was already published more than 40 years ago (see
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While there are many advocates for a Six Sigma approach for the reasons stated above, more than half of projects are unsuccessful: in 2010, the
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are the employees who take up Six Sigma implementation along with their other job responsibilities, operating under the guidance of Black Belts.
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brings extra costs, altering the process of healthcare delivery in order to make it more efficient and refining reimbursements. A study at the
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occur as a result of ignorance of or distinction between epistemic and other uncertainties. These errors are the biggest in time variant (
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announced in 2004 that Six Sigma had helped it increase customer satisfaction by 10.4% and decrease customer issues by 24%; similarly,
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stating that they have completed two projects or one project combined with three years' practical experience in the body of knowledge.
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Going Lean: How the Best Companies Apply Lean Manufacturing Principles to Shatter Uncertainty, Drive Innovation, and Maximize Profits
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Achieving sustained quality improvement requires commitment from the entire organization, particularly from top-level management.
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has dismissed the 1.5 sigma shift as "goofy" because of its arbitrary nature. Its universal applicability is seen as doubtful.
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the future state process to ensure that any deviations from the target are corrected before they result in defects. Implement
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Commitment to making decisions on the basis of verifiable data and statistical methods rather than assumptions and guesswork
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Manufacturing and business processes have characteristics that can be defined, measured, analyzed, improved, and controlled.
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Dasgupta, Tirthankar (2003-05-01). "Using the six-sigma metric to measure and improve the performance of a supply chain".
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Lack of awareness of the benefits of Lean/Six Sigma; Lack of technical understanding of tools, techniques, and practices
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Harry, Mikel J.; Mann, Prem S.; De Hodgins, Ofelia C.; Hulbert, Richard L.; Lacke, Christopher J. (20 September 2011).
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figure given for 1 sigma assumes that the long-term process mean will be 0.5 sigma beyond the specification limit (C
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step at the beginning, which is to recognize the right problem to work on, thus yielding an RDMAIC methodology.
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eliminated non-received renewal credit cards. Other financial institutions that have adopted Six Sigma include
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or mistake proofing, and standard work to create a new, future state process. Set up pilot runs to establish
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pioneered Six Sigma, setting a "six sigma" goal for its manufacturing business. It registered Six Sigma as a
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Lean Six Sigma was adopted in 2003 at Stanford hospitals and was introduced at Red Cross hospitals in 2002.
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in a separate quality department. Formal Six Sigma programs adopt an elite ranking terminology similar to
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the design, set up pilot runs, implement the production process and hand it over to the process owner(s).
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It must be said that sigma levels can be determined for process data that has evidence of non-normality.
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article stated that "of 58 large companies that have announced Six Sigma programs, 91% have trailed the
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had the effect of stifling creativity and reports its removal from the research function. It cites two
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key aspects of the current process and collect relevant data; calculate the "as-is" process capability
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The fourth quadrant: a map of the limits of statistics Nassim Nicholas Taleb, An Edge Original Essay
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and Six Sigma share similar methodologies and tools, including the fact that both were influenced by
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or sigma). The greater the standard deviation, the larger the spread of values; for the green curve,
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Kwak, Young Hoon; Anbari, Frank T. (2006). "Benefits, obstacles, and future of six sigma approach".
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organizations had begun Six Sigma initiatives with the aim of reducing costs and improving quality.
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Lean Six Sigma Service Excellence: A Guide to Green Belt Certification and Bottom Line Improvement
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Six Sigma mostly finds application in large organizations. According to industry consultants like
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the system, the voice of the customer and their requirements, and the project goals, specifically.
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Leading Six Sigma: A Step-by-Step Guide Based on Experience with GE and Other Six Sigma Companies
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key bones of contention amongst the statistical experts about how Six Sigma measures are defined.
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Poor project selection and prioritization; weak link to strategic objectives of the organization
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Continuous efforts to achieve stable and predictable process results (e.g., by reducing process
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JURAN Institute's Six Sigma Breakthrough and Beyond – Quality Performance Breakthrough Methods
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The Cult of Statistical Significance: How the Standard Error Costs Us Jobs, Justice, and Lives
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JURAN Institute's Six Sigma Breakthrough and Beyond – Quality Performance Breakthrough Methods
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Resistance to culture change; Poor communication; Lack of consideration of the human factors
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since". The statement was attributed to "an analysis by Charles Holland of consulting firm
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Lack of top management attitude, commitment, and involvement; lack of leadership and vision
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Hence the widely accepted definition of a six sigma process is a process that produces 3.4
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The Six Sigma Way: How GE, Motorola, and Other Top Companies are Honing Their Performance
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The Six Sigma Way: How GE, Motorola, and Other Top Companies are Honing Their Performance
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the tools and techniques involved or the markets or industries in which they are acting.
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Features that set Six Sigma apart from previous quality-improvement initiatives include:
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uality), measure product capabilities, production process capability, and measure risks.
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Lack of training and education; lack of resources (financial, technical, human, etc.)
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professors who say that Six Sigma leads to incremental innovation at the expense of
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design goals that are consistent with customer demands and the enterprise strategy.
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to define a hierarchy (and career path) that spans business functions and levels.
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or optimize the current process based upon data analysis using techniques such as
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pointed out that the Six Sigma standard does not go far enough—customers deserve
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Practitioner's Guide to Statistics and Lean Six Sigma for Process Improvements
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Connecting Knowledge and Performance in Public Services: From Knowing to Doing
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Six Sigma Deployment: A Guide for Implementing Six Sigma in Your Organization
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The Impact of Six Sigma Improvement-A Glimpse into the Future of Statistics
1837: 1782: 1703: 1615: 1040: 839: 835: 510:. This figure is based on the tolerance in the height of a stack of discs. 297: 141: 1294:{\displaystyle {\text{DPMO}}=1,000,000\cdot (1-\phi ({\text{level}}-1.5))} 2910: 992: 966: 530: 507: 403: 326: 310:. In 2005 Motorola attributed over $ 17 billion in savings to Six Sigma. 262:
quality by identifying and removing the causes of defects and minimizing
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Harlow, Lisa Lavoie; Stanley A. Mulaik; James H. Steiger, eds. (1997).
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Lean Six Sigma: Cost Reduction Strategies, Ade Asefeso MCIPS MBA (2012)
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In recent years, some practitioners have combined Six Sigma ideas with
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Coryea, R. Leroy; Cordy, Carl E.; Coryea, LeRoy R. (27 January 2006).
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an improved alternative, best suited per analysis in the previous step
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Implementing Six Sigma: Smarter Solutions Using Statistical Methods
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more components, such a standard means that they are all defective.
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Hahn, G. J., Hill, W. J., Hoerl, R. W. and Zinkgraf, S. A. (1999)
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Six Sigma identifies several roles for successful implementation:
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Six Sigma projects follow two project methodologies, inspired by
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Pande, Peter S.; Neuman, Robert P.; Cavanagh, Roland R. (2001).
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Pande, Peter S.; Neuman, Robert P.; Cavanagh, Roland R. (2001).
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Quality Is Still Free: Making Quality Certain in Uncertain Times
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Focus on achieving measurable and quantifiable financial returns
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Walshe, Kieran; Harvey, Gill; Jas, Pauline (15 November 2010).
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International Journal of Quality & Reliability Management
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One criticism voiced by Yasar Jarrar and Andy Neely from the
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were also early adopters of Six Sigma. As GE's CEO, in 1995
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Adams, Cary W.; Gupta, Praveen; Wilson, Charles E. (2003).
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Statistica Applicata: Italian Journal of Applied Statistics
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Statistical Significance: Rationale, Validity and Utility
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values corresponding to various short-term sigma levels.
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analysis (Customer centric version/perspective of SIPOC)
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Cause & effects diagram (also known as fishbone or
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underlies the statistical assumptions of Six Sigma. At
2996:. Sigma Breakthrough Technologies, Inc. Archived from 1959: – American engineer and statistician (1900–1993) 1869:'s 6 Sigma program did little to change its fortunes. 1606:, where customer satisfaction was the main objective. 466: 440: 420: 388: 368: 306:); on December 28, 1993, it registered Six Sigma as a 3348:"At 3M, a struggle between efficiency and creativity" 1232: 3655:
SIX SIGMA: SPC and TQM in Manufacturing and Services
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Quality is measured by the price of nonconformance,
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Gygi, Craig; DeCarlo, Neil; Williams, Bruce (2005).
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Webber, Larry; Wallace, Michael (15 December 2006).
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Webber, Larry; Wallace, Michael (15 December 2006).
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SIX SIGMA: SPC and TQM in Manufacturing and Services
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SIX SIGMA: SPC and TQM in Manufacturing and Services
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The formula used here to calculate the DPMO is thus
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The Six Sigma Practitioner's Guide to Data Analysis
2557: 2396: 2394: 2392: 1935: – Pejorative term for organizational practice 1682:be very helpful. Again, that's not a new idea. The 594:Six Sigma is much more dependent on accurate data. 3532: 3373: 3285: 3176: 3147: 3146:McCloskey, Deirdre N.; Ziliak, Stephen T. (2008). 2891: 2660:Total Quality Management & Business Excellence 2401:Keller, Paul A.; Keller, Paul (16 December 2010). 2130: 2128: 1857:. This phenomenon is further explored in the book 1823: 1293: 1207:will turn out to be 0.5 less than the short-term C 478: 452: 426: 394: 374: 270:. This is done by using empirical and statistical 2466: 2427: 2343:Rath & Strong's Six Sigma Leadership Handbook 767:igma"), the DMADV methodology's five phases are: 598:organization to prioritize areas of improvement. 3902:Professional certification in quality management 3868: 3404: 2389: 3145: 3121:Morrison, Denton; Henkel, Ramon, eds. (2006) . 2460: 2134: 2125: 2111:. Tata McGraw-Hill Publishing Company Limited. 1764:Statistical hypothesis testing § Criticism 1686:long ago established certificates, such as for 1560: 652:The DMAIC project methodology has five phases: 3292:. New York: McGraw-Hill Professional. p.  2289: 1929: – Methodology used to improve production 1861:, which describes a related approach known as 1744: 1138: 561:) are of vital importance to business success. 345:International Organization for Standardization 3697: 3465: 3019: 3017: 2866:Quality and Me: Lessons from an Evolving Life 2778:"Where process-improvement projects go wrong" 2757:. Journal for Healthcare Quality · March 2006 2433: 2356: 2256: 2106: 1722: 1706:. For example, under the Six Sigma standard, 1007:/Control plan (also known as a swimlane map)/ 904:List of Six Sigma certification organizations 578:Emphasis on management leadership and support 221: 3565:Pyzdek, Thomas & Paul A. Keller (2009). 3466:De Feo, Joseph A.; Barnard, William (2005). 3339: 2988: 2854: 2400: 2107:De Feo, Joseph A.; Barnard, William (2005). 1828:According to John Dodge, editor in chief of 1545:, which saved over $ 500 million as well as 786:and identify CTQs (characteristics that are 3278: 3276: 2775: 2141:. Cambridge University Press. p. 175. 1557:also reported successfully reducing waste. 3704: 3690: 3539:. New York, NY: McGraw-Hill Professional. 3472:. New York, NY: McGraw-Hill Professional. 3014: 2966: 2630: 2587:El-Haik, Basem; Suh, Nam P. (2005-04-15). 2586: 2551: 2233:"Motorola University Six Sigma Dictionary" 2200: 2198: 1947: – Maintenance management methodology 1541:, with $ 600 million of reported savings, 228: 214: 3594:Snee, Ronald D.; Hoerl, Roger W. (2002). 3593: 3433: 3411:. Burlington, MA: Butterworth-Heinemann. 3139: 3098:What If There Were No Significance Tests? 2318:"Six sigma support from upper management" 2290:Harry, Mikel; Schroeder, Richard (2000). 2196: 2194: 2192: 2190: 2188: 2186: 2184: 2182: 2180: 2178: 1149:defective parts per million opportunities 3658:. Aldershot, UK: Gower Publishing, Ltd. 3273: 3241:. Stanford University. 26–27 March 2007. 3197: 3114: 2755:www.researchgate.net/publication/7034272 2720: 2657: 2407:. McGraw-Hill Professional. p. 40. 2021: 1953: – Approach to business improvement 1872: 1173: 894:mentioned to be used for special cases. 742: 637: 544: 354: 3651: 3443:. New York, NY: John Wiley & Sons. 3251: 3245: 2969:"The 'Six Sigma' Factor for Home Depot" 2776:Chakravorty, Satya (January 25, 2010). 2700: 2580: 2204: 2102: 2100: 2098: 2096: 2000: 1994: 1969: 1669:Others have provided other criticisms. 3869: 3622: 3501: 3219: 3089: 2944: 2897: 2860: 2470:Champion's Practical Six Sigma Summary 2225: 2175: 1713: 1672: 829: 16:Business process improvement technique 3685: 3568:The Six Sigma Handbook, Third Edition 3371: 3365: 3345: 3319: 3313: 3057: 2830: 2824: 2626: 2624: 2622: 2620: 2532: 2526: 2369:. John Wiley and Sons. pp. 30–. 2283: 2211:. Gower Publishing, Ltd. p. 25. 513:Specifically, say that there are six 258:Six Sigma strategies seek to improve 3629:. New York, NY: J. Ross Publishing. 3600:. Upper Saddle River, NJ: FT Press. 3228: 3203: 3174: 3168: 3040: 2982: 2967:Richardson, Karen (7 January 2007). 2947:"Tearing up the Jack Welch playbook" 2704:Sei Sigma per Docenti in 14 Capitoli 2093: 2080: 2076: 2074: 2072: 2070: 2007:. Gower Publishing, Ltd. p. 6. 1694:Inadequate for complex manufacturing 927: 3711: 2991:"Wall Street Journal SBTI Rebuttal" 2960: 2938: 2493: 2473:. Xlibris Corporation. p. 65. 2046: 1134:List of Six Sigma software packages 13: 3508:. Tucson, AZ: Quality Publishing. 3397: 3071: 2645:10.1016/j.technovation.2004.10.003 2617: 2161: 1899: – Business management method 1803: 807:to develop and design alternatives 14: 3913: 3790:Failure mode and effects analysis 3322:"3M Shelves Six Sigma in R&D" 3123:The Significance Test Controversy 2566:pp. Front inside cover, 23. 2067: 504:defects per million opportunities 494:, specifically from the field of 3320:Dodge, John (10 December 2007). 3154:. University of Michigan Press. 2701:Cascini, Egidio (30 July 2024). 2345:. John Wiley and Sons. pp 57–83 1845:'s introduction of Six Sigma at 1532: 1211:value. So, now for example, the 1191:The table below gives long-term 897: 601: 49: 3350:. Business Week. Archived from 3100:. Lawrence Erlbaum Associates. 3048:"Twelve P-value misconceptions" 2929: 2831:Paton, Scott M. (August 2002). 2797: 2769: 2740: 2714: 2694: 2651: 2535:The Nature of six sigma quality 2335: 2310: 2263:. For Dummies. pp. 42–43. 1865:and provides data to show that 1824:Stifling creativity in research 1704:defect-free products every time 1609: 1163: 1065:Quantitative marketing research 2989:Ficalora, Joe; Costello, Joe. 2945:Morris, Betsy (11 July 2006). 2833:"Juran: A Lifetime of Quality" 2748:"Lean Six Sigma in Healthcare" 2440:. For Dummies. pp. 292–. 1879:Cranfield School of Management 1566:control the factors affecting 1513: 1288: 1285: 1271: 1259: 1069:Enterprise Feedback Management 943:Statistical and fitting tools 490:The term Six Sigma comes from 336:to create a methodology named 1: 3571:. New York, NY: McGraw-Hill. 3324:. Design News. Archived from 3204:Paparone, Dr. Christopher R. 2723:"IN MEMORY OF EGIDIO CASCINI" 2721:Celegato, Alessandro (2017). 2054:"Six Sigma: Where is it now?" 1963: 1622: 150:Information and communication 3346:Hindo, Brian (6 June 2007). 2971:. Wall Street Journal Online 2872:: Jossey-Bass. p. 159. 2509:American Society for Quality 1977:"The Inventors of Six Sigma" 1945:Total productive maintenance 1684:American Society for Quality 1638: 1619:issues in the supply chain. 1561:Engineering and construction 918:American Society for Quality 350: 7: 3837:Statistical process control 2672:10.1080/1478336032000046652 2437:Quality Control for Dummies 2260:Quality Control for Dummies 2029:"About Motorola University" 1890: 1745:Over-reliance on statistics 1520:List of Six Sigma companies 1139:Role of the 1.5 sigma shift 1127: 1059:Quality Function Deployment 716:statistical process control 540: 496:statistical quality control 303:U.S. Service Mark 1,647,704 10: 3918: 3372:Ruffa, Stephen A. (2008). 3259:. SPC Press. p. 307. 2818:10.1108/IJQRM-09-2013-0147 1723:Potential negative effects 1581: 1517: 1167: 1131: 901: 736: 645: 288: 18: 3855: 3824: 3803: 3777: 3751: 3720: 3435:Breyfogle, Forrest W. III 3025:"Six Sigma Friend or Foe" 1783:organization adaptability 1630:MD Anderson Cancer Center 722:Some organizations add a 614:, each with five phases. 3759:Business process mapping 3502:Keller, Paul A. (2001). 2533:Harry, Mikel J. (1988). 1951:Total quality management 1789:, and strategy making." 1309:Sigma (with 1.5σ shift) 989:Business Process Mapping 732: 633: 553:Six Sigma asserts that: 21:Sigma 6 (disambiguation) 19:Not to be confused with 3652:Tennant, Geoff (2001). 3623:Taylor, Gerald (2008). 2783:The Wall Street Journal 2341:Bertels, Thomas (2003) 2205:Tennant, Geoff (2001). 2001:Tennant, Geoff (2001). 1185:special-cause variation 1054:Rolled throughput yield 612:Plan–Do–Study–Act Cycle 94:Industrial technologies 2564:Wiley Publishing, Inc. 1888: 1295: 1188: 748: 643: 625:DMADV ("duh-mad-vee", 618:DMAIC ("duh-may-ick", 550: 487: 480: 479:{\textstyle \sigma =1} 454: 428: 396: 376: 3811:Design of experiments 3733:Voice of the customer 3183:. SAGE Publications. 3175:Chow, Siu L. (1997). 3125:. AldineTransaction. 2560:Six Sigma for Dummies 2501:"Certification – ASQ" 2404:Six Sigma Demystified 2296:. Random House, Inc. 1883: 1873:Lack of documentation 1793:Nassim Nicholas Taleb 1779:learning organization 1539:Johnson & Johnson 1296: 1177: 1116:Taguchi Loss Function 1024:Design of experiments 1014:Cost–benefit analysis 751:Also known as DFSS (" 746: 691:design of experiments 641: 548: 481: 455: 429: 397: 377: 358: 276:customer satisfaction 266:in manufacturing and 58:Manufacturing methods 3738:Value-stream mapping 3559:Pande Six Sigma Way. 3408:Six Sigma Deployment 2505:Milwaukee, Wisconsin 1897:Design for Six Sigma 1800:) related failures. 1775:double-loop learning 1771:USA Army Logistician 1230: 1153:normally distributed 1121:Value stream mapping 952:General linear model 947:Analysis of variance 854:Executive Leadership 739:Design for Six Sigma 517:—represented by the 464: 438: 427:{\textstyle \sigma } 418: 386: 366: 3785:Root cause analysis 2597:John Wiley and Sons 1855:blue skies research 1769:In a 2006 issue of 1714:Role of consultants 1673:Lack of originality 1646:Wall Street Journal 1075:Root cause analysis 962:Regression analysis 957:ANOVA Gauge R&R 830:Professionalization 529:—represented by μ ( 515:standard deviations 453:{\textstyle \mu =0} 360:Normal distribution 86:Agile manufacturing 3897:Quality management 3882:1986 introductions 3764:Process capability 3253:Wheeler, Donald J. 1939:Quality management 1927:Lean manufacturing 1841:article says that 1787:cultural awareness 1572:construction waste 1317:Percent defective 1291: 1189: 1050:Process capability 871:Master Black Belts 749: 747:DMADV's five steps 699:process capability 644: 642:DMAIC's five steps 551: 500:process capability 498:, which evaluates 488: 476: 450: 424: 412:standard deviation 392: 372: 334:lean manufacturing 300:on June 11, 1991 ( 272:quality management 268:business processes 81:Lean manufacturing 3864: 3863: 3636:978-1-60427-006-8 3578:978-0-07-162338-4 3387:978-0-8144-1057-8 3266:978-0-945320-62-3 3161:978-0-472-05007-9 3107:978-0-8058-2634-0 2899:Crosby, Philip B. 2862:Crosby, Philip B. 2710:. RCE Multimedia. 2610:978-0-471-68273-8 2591:Axiomatic Quality 2544:978-1-56946-009-2 2480:978-1-4134-9681-9 2447:978-0-470-06909-7 2414:978-0-07-174679-3 2376:978-1-118-21021-5 2270:978-0-470-06909-7 2148:978-0-521-19546-1 1957:W. Edwards Deming 1810:Donald J. Wheeler 1808:The statistician 1543:Texas Instruments 1511: 1510: 1320:Percentage yield 1277: 1236: 928:Tools and methods 608:W. Edwards Deming 395:{\textstyle \mu } 251:while working at 238: 237: 3909: 3892:Business process 3795:Multi-vari chart 3706: 3699: 3692: 3683: 3682: 3677: 3648: 3619: 3590: 3561: 3538: 3527: 3491: 3462: 3430: 3392: 3391: 3379: 3369: 3363: 3362: 3360: 3359: 3343: 3337: 3336: 3334: 3333: 3317: 3311: 3310: 3291: 3280: 3271: 3270: 3249: 3243: 3242: 3240: 3232: 3226: 3223: 3217: 3216: 3214: 3213: 3201: 3195: 3194: 3182: 3172: 3166: 3165: 3153: 3143: 3137: 3136: 3118: 3112: 3111: 3093: 3087: 3086: 3081:. Archived from 3075: 3069: 3068: 3061: 3055: 3054: 3052: 3044: 3038: 3037: 3035: 3034: 3029: 3021: 3012: 3011: 3009: 3008: 3002: 2995: 2986: 2980: 2979: 2977: 2976: 2964: 2958: 2957: 2955: 2954: 2942: 2936: 2933: 2927: 2926: 2895: 2889: 2888: 2858: 2852: 2851: 2849: 2848: 2828: 2822: 2821: 2812:(9): 1012–1030. 2801: 2795: 2794: 2792: 2790: 2773: 2767: 2766: 2764: 2762: 2752: 2744: 2738: 2737: 2727: 2718: 2712: 2711: 2709: 2698: 2692: 2691: 2655: 2649: 2648: 2639:(5–6): 708–715. 2628: 2615: 2614: 2594: 2584: 2578: 2577: 2555: 2549: 2548: 2530: 2524: 2523: 2521: 2520: 2511:. Archived from 2497: 2491: 2490: 2488: 2487: 2464: 2458: 2457: 2455: 2454: 2431: 2425: 2424: 2422: 2421: 2398: 2387: 2386: 2384: 2383: 2360: 2354: 2339: 2333: 2332: 2330: 2328: 2314: 2308: 2307: 2287: 2281: 2280: 2278: 2277: 2254: 2248: 2247: 2245: 2244: 2235:. Archived from 2229: 2223: 2222: 2202: 2173: 2172: 2169:"ISO 13053:2011" 2165: 2159: 2158: 2156: 2155: 2132: 2123: 2122: 2104: 2091: 2090: 2081:Dusharme, Dirk. 2078: 2065: 2064: 2062: 2061: 2050: 2044: 2043: 2041: 2040: 2031:. Archived from 2025: 2019: 2018: 1998: 1992: 1991: 1989: 1988: 1979:. Archived from 1973: 1818:confidence trick 1700:Philip B. Crosby 1596:American Express 1303: 1302: 1300: 1298: 1297: 1292: 1278: 1275: 1237: 1234: 999:Ishikawa diagram 984:Axiomatic design 977:Chi-squared test 909:General Electric 628: 621: 549:Six Sigma symbol 485: 483: 482: 477: 459: 457: 456: 451: 433: 431: 430: 425: 414:(represented as 401: 399: 398: 393: 381: 379: 378: 373: 318:General Electric 305: 230: 223: 216: 66:Batch production 53: 43:Machine industry 30: 29: 25:5S (methodology) 3917: 3916: 3912: 3911: 3910: 3908: 3907: 3906: 3867: 3866: 3865: 3860: 3851: 3820: 3799: 3773: 3747: 3728:Project charter 3716: 3710: 3680: 3666: 3637: 3608: 3579: 3547: 3516: 3480: 3451: 3419: 3400: 3398:Further reading 3395: 3388: 3370: 3366: 3357: 3355: 3354:on June 9, 2007 3344: 3340: 3331: 3329: 3318: 3314: 3304: 3281: 3274: 3267: 3250: 3246: 3238: 3234: 3233: 3229: 3224: 3220: 3211: 3209: 3208:. Almc.army.mil 3202: 3198: 3191: 3173: 3169: 3162: 3144: 3140: 3133: 3119: 3115: 3108: 3094: 3090: 3077: 3076: 3072: 3063: 3062: 3058: 3050: 3046: 3045: 3041: 3032: 3030: 3027: 3023: 3022: 3015: 3006: 3004: 3000: 2993: 2987: 2983: 2974: 2972: 2965: 2961: 2952: 2950: 2943: 2939: 2934: 2930: 2913:. p. xiv. 2896: 2892: 2859: 2855: 2846: 2844: 2829: 2825: 2802: 2798: 2788: 2786: 2774: 2770: 2760: 2758: 2750: 2746: 2745: 2741: 2725: 2719: 2715: 2707: 2699: 2695: 2656: 2652: 2629: 2618: 2611: 2585: 2581: 2574: 2562:. Hoboken, NJ: 2556: 2552: 2545: 2531: 2527: 2518: 2516: 2499: 2498: 2494: 2485: 2483: 2481: 2465: 2461: 2452: 2450: 2448: 2432: 2428: 2419: 2417: 2415: 2399: 2390: 2381: 2379: 2377: 2361: 2357: 2340: 2336: 2326: 2324: 2316: 2315: 2311: 2304: 2288: 2284: 2275: 2273: 2271: 2255: 2251: 2242: 2240: 2231: 2230: 2226: 2219: 2203: 2176: 2167: 2166: 2162: 2153: 2151: 2149: 2133: 2126: 2119: 2105: 2094: 2079: 2068: 2059: 2057: 2052: 2051: 2047: 2038: 2036: 2027: 2026: 2022: 2015: 1999: 1995: 1986: 1984: 1975: 1974: 1970: 1966: 1893: 1875: 1826: 1806: 1804:1.5 sigma shift 1747: 1725: 1716: 1698:Quality expert 1696: 1679:Joseph M. Juran 1677:Quality expert 1675: 1641: 1625: 1612: 1592:Bank of America 1584: 1563: 1535: 1522: 1516: 1332: 1326: 1274: 1233: 1231: 1228: 1227: 1222: 1218: 1210: 1204: 1172: 1170:68–95–99.7 rule 1166: 1141: 1136: 1130: 1125: 1112:Taguchi methods 1067:through use of 1037:Pareto analysis 972:Scatter diagram 930: 906: 900: 832: 741: 735: 712:control systems 650: 636: 604: 587:lean management 543: 465: 462: 461: 439: 436: 435: 419: 416: 415: 387: 384: 383: 367: 364: 363: 353: 301: 291: 234: 184:Process control 76:Flow production 28: 17: 12: 11: 5: 3915: 3905: 3904: 3899: 3894: 3889: 3887:Business terms 3884: 3879: 3862: 3861: 3856: 3853: 3852: 3850: 3849: 3844: 3839: 3834: 3828: 3826: 3822: 3821: 3819: 3818: 3813: 3807: 3805: 3801: 3800: 3798: 3797: 3792: 3787: 3781: 3779: 3775: 3774: 3772: 3771: 3766: 3761: 3755: 3753: 3749: 3748: 3746: 3745: 3740: 3735: 3730: 3724: 3722: 3718: 3717: 3709: 3708: 3701: 3694: 3686: 3679: 3678: 3664: 3649: 3635: 3620: 3606: 3591: 3577: 3562: 3545: 3528: 3514: 3499: 3492: 3478: 3463: 3449: 3431: 3417: 3401: 3399: 3396: 3394: 3393: 3386: 3364: 3338: 3312: 3302: 3272: 3265: 3244: 3227: 3218: 3196: 3189: 3167: 3160: 3138: 3131: 3113: 3106: 3088: 3085:on 2013-06-20. 3070: 3056: 3039: 3013: 2981: 2959: 2937: 2928: 2890: 2884:not by indexes 2853: 2837:Quality Digest 2823: 2796: 2768: 2739: 2713: 2693: 2666:(3): 355–366. 2650: 2616: 2609: 2579: 2572: 2550: 2543: 2525: 2492: 2479: 2459: 2446: 2426: 2413: 2388: 2375: 2355: 2334: 2309: 2302: 2282: 2269: 2249: 2224: 2217: 2174: 2160: 2147: 2124: 2117: 2092: 2087:Quality Digest 2066: 2056:. 24 June 2003 2045: 2020: 2013: 1993: 1967: 1965: 1962: 1961: 1960: 1954: 1948: 1942: 1936: 1933:Management fad 1930: 1924: 1921:Lean Six Sigma 1918: 1912: 1906: 1900: 1892: 1889: 1874: 1871: 1851:Wharton School 1843:James McNerney 1825: 1822: 1805: 1802: 1746: 1743: 1724: 1721: 1715: 1712: 1708:semiconductors 1695: 1692: 1674: 1671: 1667: 1666: 1663: 1660: 1657: 1654: 1640: 1637: 1624: 1621: 1611: 1608: 1604:JPMorgan Chase 1583: 1580: 1562: 1559: 1534: 1531: 1518:Main article: 1515: 1512: 1509: 1508: 1505: 1502: 1499: 1496: 1493: 1490: 1486: 1485: 1480: 1475: 1470: 1465: 1460: 1455: 1449: 1448: 1445: 1442: 1439: 1436: 1433: 1430: 1426: 1425: 1422: 1419: 1416: 1413: 1410: 1407: 1403: 1402: 1399: 1396: 1393: 1390: 1387: 1384: 1380: 1379: 1376: 1373: 1370: 1367: 1364: 1361: 1357: 1356: 1353: 1350: 1347: 1344: 1341: 1338: 1334: 1333: 1330: 1327: 1324: 1321: 1318: 1315: 1310: 1307: 1290: 1287: 1284: 1281: 1273: 1270: 1267: 1264: 1261: 1258: 1255: 1252: 1249: 1246: 1243: 1240: 1220: 1216: 1208: 1202: 1165: 1162: 1140: 1137: 1132:Main article: 1129: 1126: 1124: 1123: 1118: 1109: 1103: 1077: 1072: 1062: 1056: 1043: 1030: 1028:Stratification 1021: 1016: 1011: 1002: 995: 986: 981: 980: 979: 974: 969: 964: 959: 954: 949: 941: 935: 929: 926: 902:Main article: 899: 896: 888: 887: 881: 880:for Six Sigma. 874: 868: 862: 831: 828: 827: 826: 817: 808: 799: 778: 737:Main article: 734: 731: 720: 719: 702: 681: 672: 663: 646:Main article: 635: 632: 631: 630: 623: 603: 600: 583: 582: 579: 576: 569: 568: 565: 562: 542: 539: 525:)—between the 475: 472: 469: 449: 446: 443: 423: 391: 375:{\textstyle 0} 371: 352: 349: 338:Lean Six Sigma 290: 287: 236: 235: 233: 232: 225: 218: 210: 207: 206: 205: 204: 199: 194: 186: 185: 181: 180: 179: 178: 175: 170: 165: 160: 152: 151: 147: 146: 145: 144: 139: 134: 129: 124: 119: 114: 109: 104: 96: 95: 91: 90: 89: 88: 83: 78: 73: 71:Job production 68: 60: 59: 55: 54: 46: 45: 39: 38: 37:of articles on 15: 9: 6: 4: 3: 2: 3914: 3903: 3900: 3898: 3895: 3893: 3890: 3888: 3885: 3883: 3880: 3878: 3875: 3874: 3872: 3859: 3854: 3848: 3845: 3843: 3840: 3838: 3835: 3833: 3830: 3829: 3827: 3825:Control phase 3823: 3817: 3814: 3812: 3809: 3808: 3806: 3804:Improve phase 3802: 3796: 3793: 3791: 3788: 3786: 3783: 3782: 3780: 3778:Analyse phase 3776: 3770: 3767: 3765: 3762: 3760: 3757: 3756: 3754: 3752:Measure phase 3750: 3744: 3741: 3739: 3736: 3734: 3731: 3729: 3726: 3725: 3723: 3719: 3714: 3707: 3702: 3700: 3695: 3693: 3688: 3687: 3684: 3675: 3671: 3667: 3665:0-566-08374-4 3661: 3657: 3656: 3650: 3646: 3642: 3638: 3632: 3628: 3627: 3621: 3617: 3613: 3609: 3607:0-13-008457-3 3603: 3599: 3598: 3592: 3588: 3584: 3580: 3574: 3570: 3569: 3563: 3560: 3556: 3552: 3548: 3546:0-07-135806-4 3542: 3537: 3536: 3529: 3525: 3521: 3517: 3515:0-930011-84-8 3511: 3507: 3506: 3500: 3497: 3493: 3489: 3485: 3481: 3479:0-07-142227-7 3475: 3471: 3470: 3464: 3460: 3456: 3452: 3450:0-471-26572-1 3446: 3442: 3441: 3436: 3432: 3428: 3424: 3420: 3418:0-7506-7523-3 3414: 3410: 3409: 3403: 3402: 3389: 3383: 3378: 3377: 3368: 3353: 3349: 3342: 3328:on 2010-03-05 3327: 3323: 3316: 3309: 3305: 3303:0-07-135806-4 3299: 3295: 3290: 3289: 3279: 3277: 3268: 3262: 3258: 3254: 3248: 3237: 3231: 3222: 3207: 3200: 3192: 3190:0-7619-5205-5 3186: 3181: 3180: 3171: 3163: 3157: 3152: 3151: 3142: 3134: 3132:0-202-30879-0 3128: 3124: 3117: 3109: 3103: 3099: 3092: 3084: 3080: 3074: 3066: 3060: 3049: 3043: 3026: 3020: 3018: 3003:on 2007-10-25 2999: 2992: 2985: 2970: 2963: 2948: 2941: 2932: 2925: 2920: 2916: 2912: 2908: 2904: 2900: 2894: 2887: 2885: 2879: 2875: 2871: 2870:San Francisco 2867: 2863: 2857: 2842: 2838: 2834: 2827: 2819: 2815: 2811: 2807: 2800: 2785: 2784: 2779: 2772: 2756: 2749: 2743: 2735: 2731: 2724: 2717: 2706: 2705: 2697: 2689: 2685: 2681: 2677: 2673: 2669: 2665: 2661: 2654: 2646: 2642: 2638: 2634: 2627: 2625: 2623: 2621: 2612: 2606: 2602: 2598: 2593: 2592: 2583: 2575: 2573:0-7645-6798-5 2569: 2565: 2561: 2554: 2546: 2540: 2536: 2529: 2515:on 2009-12-17 2514: 2510: 2506: 2502: 2496: 2482: 2476: 2472: 2471: 2463: 2449: 2443: 2439: 2438: 2430: 2416: 2410: 2406: 2405: 2397: 2395: 2393: 2378: 2372: 2368: 2367: 2359: 2352: 2351:0-471-25124-0 2348: 2344: 2338: 2323: 2319: 2313: 2305: 2303:0-385-49437-8 2299: 2295: 2294: 2286: 2272: 2266: 2262: 2261: 2253: 2239:on 2006-01-28 2238: 2234: 2228: 2220: 2218:0-566-08374-4 2214: 2210: 2209: 2201: 2199: 2197: 2195: 2193: 2191: 2189: 2187: 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Index

Sigma 6 (disambiguation)
5S (methodology)
a series
Machine industry
Mill
Batch production
Job production
Flow production
Lean manufacturing
Agile manufacturing
PLM
RCM
TPM
VDM
QRM
TOC
Six Sigma
TQM
ZD
ISA-88
ISA-95
ERP
IEC 62264
PLC
DCS
SCADA
v
t
e
Bill Smith

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