Lean six sigma tools and techniques pdf

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Each Six Sigma project carried out within an organization follows a defined sequence of steps and has specific value targets, for example: reduce process cycle time, reduce pollution, reduce costs, increase customer satisfaction, and increase profits. A six sigma process is one in which 99. Motorola set a goal of “six sigma” for all of its manufacturing operations, and this goal became a by-word for the management and engineering practices used to achieve it. Manufacturing lean six sigma tools and techniques pdf business processes have characteristics that can be defined, measured, analyzed, improved, and controlled.

Achieving sustained quality improvement requires commitment from the entire organization, particularly from top-level management. A clear focus on achieving measurable and quantifiable financial returns from any Six Sigma project. An increased emphasis on strong and passionate management leadership and support. A clear commitment to making decisions on the basis of verifiable data and statistical methods, rather than assumptions and guesswork. 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.

5 sigma created by the psychologist Dr Mikel Harry. He created this figure based on the tolerance in the height of a stack of discs. Six Sigma’s implicit goal is to improve all processes, but not to the 3. 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 organization to prioritize areas of improvement. 17 billion in savings to Six Sigma. Six Sigma initiatives with the aim of reducing costs and improving quality.

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”. Accenture, Verizon, GENPACT, and IBM use Lean Six Sigma to focus transformation efforts not just on efficiency but also on growth. It serves as a foundation for innovation throughout the organization, from manufacturing and software development to sales and service delivery functions. 2011 the first standard “ISO 13053:2011” defining a Six Sigma process. Other “standards” are created mostly by universities or companies that have so-called first-party certification programs for Six Sigma. Lean management and Six Sigma are two concepts which share similar methodologies and tools.

Both programs are Japanese influenced, but they are two different programs. Lean management is focused on eliminating waste and ensuring efficiency while Six Sigma’s focus is on eliminating defects and reducing variability. These methodologies, composed of five phases each, bear the acronyms DMAIC and DMADV. Determine what the relationships are, and attempt to ensure that all factors have been considered. Seek out root cause of the defect under investigation. This process is repeated until the desired quality level is obtained. Within the individual phases of a DMAIC or DMADV project, Six Sigma utilizes many established quality-management tools that are also used outside Six Sigma.

The following table shows an overview of the main methods used. One key innovation of Six Sigma involves the absolute “professionalizing” of quality management functions. Six Sigma identifies several key roles for its successful implementation. CEO and other members of top management. They are responsible for setting up a vision for Six Sigma implementation. They also empower the other role holders with the freedom and resources to explore new ideas for breakthrough improvements by transcending departmental barriers and overcoming inherent resistance to change. Six Sigma implementation across the organization in an integrated manner.

The Executive Leadership draws them from upper management. Champions also act as mentors to Black Belts. Champions, act as in-house coaches on Six Sigma. They assist Champions and guide Black Belts and Green Belts. Apart from statistical tasks, they spend their time on ensuring consistent application of Six Sigma across various functions and departments. Master Black Belts to apply Six Sigma methodology to specific projects.

Six Sigma implementation along with their other job responsibilities, operating under the guidance of Black Belts. 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 mentioned to be used for special cases. Green Belt, Black Belt etc. Following this approach, many organizations in the 1990s started offering Six Sigma certifications to their employees. There is no standard certification body, and different certification services are offered by various quality associations and other providers against a fee. Black Belt applicants to pass a written exam and to provide a signed affidavit stating that they have completed two projects or one project combined with three years’ practical experience in the body of knowledge.

As process standard deviation goes up, or the mean of the process moves away from the center of the tolerance, fewer standard deviations will fit between the mean and the nearest specification limit, decreasing the sigma number and increasing the likelihood of items outside specification. One should also note that calculation of Sigma levels for a process data is independent of the data being normally distributed. In one of the criticisms to Six Sigma, practitioners using this approach spend a lot of time transforming data from non-normal to normal using transformation techniques. It must be said that Sigma levels can be determined for process data that has evidence of non-normality. Graph of the normal distribution, which underlies the statistical assumptions of the Six Sigma model. The greater the standard deviation, the greater is the spread of values encountered.