Six Sigma steps are quite simple to be implemented but needs a lot of analysis. It is desirous to employ well qualified Six Sigma professionals having good deal of experience in the field. There are numerous organizations that have followed the stepwise process of Six Sigma and received genuine benefits in terms of quality and profits.
The Six Sigma strategy behind the execution of any process is based on understanding the consumer process and thereby creating excellence in the workplace. It emphasizes mostly on minimizing the errors and thereby maximizing the profit level of the company by improving the quality and productivity of the organization. The working strategy of the Six Sigma process is to rely mainly on the statistical data, related to any problem and, as a matter of fact, find its solution.
Six Sigma online training has become an easy mode of acquiring Six Sigma certification course, in comparatively lesser rates. Six Sigma online training provides the students an option to begin and end the training according to their own schedules. Six Sigma certification can be achieved according to the level of course being acquired.
DMAIC is an abbreviation, which stands for “Design-Measure-Analyze-Implement-Verify”. The Six Sigma DMAIC methodology is a process improvement methodology, which aims at reducing the number of possible defects in an organization, by letting the process operate at a 99.9997% efficiency level. The DMAIC methodology brings about melioration in the process of any firm and thereby defines its outcome.
Six Sigma tutorial is the intensive collection of the Six Sigma course information, which provides an extensive growth to any process and thereby take its success to its pinnacle. Six Sigma tutorial teaches the application of Six Sigma strategic tools for achieving excellence in the corporate sector.
Six Sigma has proved itself the best quality control program, available in the market. Six Sigma is now increasingly used in many fields and sectors and is proving itself as a quality control improvement program. Six Sigma provides a statistical approach for solving any problem and thereby improves the quality level of the product as well as the company.
Six Sigma information can be easily obtained from our site. It is a process improvement method, which provides an efficiency rate of 99.9997% to the process and limits the number of chances of defects to less than 3.4 defects per million opportunities. It aims at improving the quality level of the product as well as the market value of the organization. It is totally a customer oriented quality control program.
Six Sigma handbook is a worldwide popular, comprehensive reference for the Six Sigma course. It offers the main information, direction and the statistical tools one demands to execute any Six Sigma process. Six Sigma handbook covers all the concepts, which are necessary for the effective progress of any process.
Six Sigma education has become the most recent topic for discussion nowadays. Six Sigma education is aimed at imparting knowledge to the students about all respects of Six Sigma. Six Sigma education, based on the Six Sigma process improvement methodology, is meant for creating excellence in the field of academics.
Six Sigma operates at a 99.9997% quality level and limits the number of possibility of defects to less than 3.4 defects per million, by banking heavily on statistical techniques. As a matter of fact, the quality and the productivity of the organization is improved by streamlining the processes. Unlike ISO-9001, which is a quality certification system, Six Sigma is a process improvement methodology meant for reducing the number of defects to a very minute amount and thereby enduring a boon to the market value of the company by unremitting progress.
Critical to Quality (CTQ) includes within its scope, the physical dimensions of height, width, depth and weight. Even the electrical characteristics of a product such as impedance, are also included within the scope of CTQ. Critical to quality study gives a vivid description regarding the requirements of quality in general terms but have deficiency in the specificity to be measurable. Nonetheless, they can be computed through the addition of customer-defined specifications.
Critical to Process (CTP) are the key process input variables. These are the process parameters which influences other critical approaches - Critical to Quality (CTQ), Critical to Delivery (CTD) and / or Critical to Cost (CTC). To illustrate CTP in terms of process, we must mention it as the critical x’s in the function -> y = f(x). It is essential to know what the x’s are - for example, temperature, pressure, humidity, but not essentially their definite setting or level.
Critical to Delivery (CTD) characteristics are services to manufactured goods, and/or transactional characteristics that significantly influence one or more CTSs in terms of Delivery. It represents the customers who have stated needs in relation to delivery. It is of late delivery. However, early delivery might create problem for some of the customers as it may invite excess account requiring payment before the need for such inventory arises. CTDs are transformed into critical requirements of the customer through the quantification of these impact areas.
Critical to Cost (CTC) analysis is the input to the Quality Function Deployment activity designed for the satisfaction of customers’ requirements. This is the process of analyzing the inputs and outputs and find out the path that influence the cost of process outputs. CTC are similar to CTQ but the former deals entirely with the impact of cost on the customer. This is the way to compute numbers and an overall project.
A critical to quality (CTQ) is the flowchart process of identifying quality features or characteristics in regard to the customer and to identify the problems. This is the process of analyzing the inputs and outputs and find out the path that influence the standard or quality of process outputs. CTQ analysis consists of the physical measurement of height, width, depth and weight. They depict the necessities of quality but have deficiency in the specificity to be measurable.
CPM (Critical Path Method) is considered as an important project management technique that regulates the existing projects, plans, schedules and undertakes new and complex projects for various industrial processes. The technique helps management in controlling the work of the project. CPM has twofold streams, one for industrial process and the other military.
The CPM (Critical Path Method) or the Critical Path Analysis is a popular mathematic based algorithm considered to schedule a set of project activities. Scholars of six sigma tag this as a vital tool for efficient project management. CPM was developed by the DuPont Corporation in 1950’s. Currently, it is applied to all forms of projects such as plant maintenance, engineering, product development, research projects, software development etc.
Process Capability Index (Cpk) measures the process potential and performance of processes. Process capability evaluates the productivity of an in-control process to the requirement limits by using capability indices. It can be applied only when the output response displays a normal distribution.
Process Capability (Cp) is the indices used to measure how closely and consistently the process can reach the optimum level of satisfaction of customers. Six sigma is the vast commercial way to drive away errors which are resulted by all processes at levels of performance. It takes in all the possible elements and tools including Cp, needed for assuring improved quality products and services.
Correlation has a significant place in six sigma. Correlation measures relation between two or more variables. It investigates the relationship between two quantitative and continuous variables. If the value of one variable increases when the value of the other also increases, they are said to be positively correlated. If the value of one variable decreases when the value of other variable is increasing, it is said to be negatively correlated. If one variable does not affect the other, they are not correlated.
A Cost of Quality (COQ) constructs a chart displaying prevention, appraisal, and failure costs over time in order to demonstrate the cost of poor quality. The Cost of Quality can be categorized into two divisions: The Cost of Poor Quality (COPQ), and The Cost of Good Quality (COGQ). The cost of poor quality looks over the entire internal as well as the external costs which is the outcome of the product imperfection. Alternatively, the cost of good quality is the prevention costs that are used in prevention and assessment such as, quality planning, error proofing, quality education, Six Sigma training etc.
Control plan process is meant to control the features of product and the connected process variables to guarantee capability and stability of the manufactured goods over time. It is a management device to make out and to check the activity which is mandatory for controlling the critical inputs or key outputs for a process in order that the process will continually meet its product or service goals.
Control chart for given values is used when the process is fixed and the mean and standard deviation are known. The control chart, also known as the Shewhart Chart, is a statistical tool for monitoring a business or manufacturing process in order to maintain or improve quality. It is one of the vital methods of Statistical Process Control (SPC), which assures the business process to be in a state of statistical stability.
A control chart is a significant tool applied to monitor and improve quality. It is one of the effective seven basic statistical tools often applied in Six Sigma along with scatter diagram, flowchart, pareto chart, cause-and-effect diagram, check sheet and histogram. All the tools are used to evaluate business or manufacturing process in an effective way.
Continuous distribution is a distribution of random variables which may assume any value in the number line whether integer or not. It is also known as continuous probability distributions and applied in six sigma to evaluate the processes in an improved manner. It is applied when the characteristic being examined are found to be a continuous variable.
Continuous data refers to data that can be measured on a measurement scale with other data. It is also known as variable data and can be subdivided into smaller measurements limited by the recording or measurement system. It can have any numeric value and can be divided into precision.
Contingency tables are used in the application of the chi-square test that is implemented to evaluate the connection between two variables. This table provides an effective way of arranging attribute data while permitting us to eagerly find out relative probabilities. To quote an example, contingency tables can be made to use in place of the fraction out of the ordinary control chart to analyze a group of preliminary samples for not having enough of control.
Consumer risk or consumer's risk is a potent risk that can be found in all consumer-oriented commodities or product that the commodities might fail to meet the standards of quality. It might also pass undetected through the manufacture’s system of quality control and enter the marketplace for consumers. It is the risk that a consumer will recognize as a lot of inferior quality in comparison with the Limiting Quality Level.
Consensus criteria method is one of the several tools used in improving process by prioritizing items and portraying them in terms of weighted criteria. This process is made to use by combining a tree and matrix diagramming methods to carry out a pair-wise assessment of items resulting to narrowing down to a most preferred or most effectual priority wise sequence of events.
Confidence interval is one of the common concepts used in statistical studies. There are quite a number of cases where this concept yields great results. This is used to obtain a value which is almost equal to the universal value of any given mathematical problem.
Completely Randomized Design
Completely randomized design is one of the most competent statistical tools which are widely used in solving the statistical as well as management problems. This design is perfect in analyzing and calculating the experimental designs without fail. The hands on experience help the professionals to use these designs for problem solving and also in improving the current infrastructural problems.
Complementary probability is a popular concept mainly used in statistics. This is derived from the basics of probability theory. The principle of complementary probability is that a set of two complementary events cannot happen at the same time. The concept is studied by not only the students of statistics but also the six sigma professionals as probability is included in their green belt certification courses.
Comparing proportions is the statistical method to find out if one proportion is truly different from another. This comparison of proportion from two or more samples is carried out by implementing the chi-square statistics. The comparison is made by contrasting the experimental proportions to the proportion which are estimated to find out whether there are any variations between the samples. If the experimental result is larger than the estimated result, it is said that there is a considerable difference in the sample proportions.
Six Sigma statistics is a compilation of the time-tested management strategies, which has always proved to be beneficial for the overall improvements of the companies. There are certain tools which are widely used to reduce the number of defects from a system.
Six Sigma Calculation is an important part of the system when it comes to evaluating the current and future situation of a system. There are various types of calculators that are used as a tool to perform the Six Sigma calculations without fail. The number of defects occurring in the set up is calculated first and then the expected yields from the strategies are chalked out efficiently. Some of the frequently used Six Sigma calculators are “Process Sigma calculators”, “Sample Size Calculators” and “Sigma Level Calculators”. The Six Sigma calculations can provide excellent yields in terms of customer satisfaction or great product quality.
Six sigma tools are very effective in improving the products and customer services. Six sigma is not just a couple of strategies to manage the organizations and their departments. These quality management tools are extremely useful for all levels of six sigma project. These are discussed in the six sigma training courses. Contract management software, brainstorm, affinity diagrams, QFD, fishbone diagrams, Pareto charts, run charts etc are some of the popular six sigma tools.
Monte Carlo simulation is an important application used in six sigma projects. The consultants use this particular approach to tally the collected data with the hypothetical results to be obtained. In the regular DMAIC projects Monte Carlo simulation is used to analyze the collected data and also make related improvements in required fields. The results are prepared on the basis of the given variable inputs. The curves drawn from the analysis can take different shapes and sizes which are used to estimate the result and success level of the six sigma projects.
Pareto chart is one of the most important tools used by the six sigma consultants during the implementation of the projects. It was described by Vilfredo Pareto who was a renowned Italian economist. Categorization of the data is important for creating the Pareto charts correctly. The results are obtained in the form of graphs. This, unlike bar graphs, shows the output as frequency points.
ANOVA in six sigma stands for analysis of variation in six sigma courses. Six sigma is an aid for the organizations that need improvements in various departments and this is why, all the time-tested strategies of management are included in the methodologies of six sigma. The black belts and master black belts are coached thoroughly on this particular topic as this involves the statistical analysis of the data fluctuations. The consultants should understand the concept of ANOVA by heart in order to become successful in six sigma project implementations.