Showing posts with label D. Show all posts
Showing posts with label D. Show all posts
DPU(Defect Per Unit)
Defects per unit (DPU) represents the number of defects divided by the number of products.
DPO(Defect Per Opportunity)
Defects per opportunity (DPO) represents total defects divided by total opportunities.
DPO is a preliminary calculation to help you calculate DPMO (defects per million opportunities). Multiply DPO by one million to calculate DPMO.
DPO is a preliminary calculation to help you calculate DPMO (defects per million opportunities). Multiply DPO by one million to calculate DPMO.
DPMO(Defect Per Million Opportunity)
converse into DPO number * 1,000,000
DPO*1,000,000
Can be transferred as Six Sigma Scale
DPO*1,000,000
Can be transferred as Six Sigma Scale
dpmo
Defects per million opportunities, always the long-term process performance. It covers both dispersion and centring of the characteristic measured.
Double sided test
A statistical considertion where, for example, the mean of a population is to be equal to a criterion, as stated in a null hypothesis.
Document
A document is a collection of information or instructions presented to perform some activity in a process / procedure.
A document is an output of manual or electronic documentation of data or information used for documenting events, processes, procedures or activities and utilized as a testimony to verify performance.
A document is an output of manual or electronic documentation of data or information used for documenting events, processes, procedures or activities and utilized as a testimony to verify performance.
DMAIC
Define, Measure, Analyze, Improve, Control. Incremental process improvement using Six Sigma methodology. Pronounced (Duh-May-Ick).
DMAIC refers to a data-driven quality strategy for improving processes, and is an integral part of the company's Six Sigma Quality Initiative. DMAIC is an acronym for five interconnected phases: Define, Measure, Analyze, Improve, and Control.
DMAIC refers to a data-driven quality strategy for improving processes, and is an integral part of the company's Six Sigma Quality Initiative. DMAIC is an acronym for five interconnected phases: Define, Measure, Analyze, Improve, and Control.
DMADV
Define, Measure, Analyze, Design, Verify. Design for Six Sigma or new product/service introduction.DMADV is a data-driven quality strategy for designing products and processes, and it is an integral part of a Six Sigma Quality Initiative. DMADV consists of five interconnected phases: Define, Measure, Analyze, Design, and Verify.
Distribution
Distribution refers to the behavior of a process described by plotting the number of times a variable displays a specific value or range of values rather than by plotting the value itself.
Dispersion(of a statistical sample)
The tedency of the values of the elements in a sample to differ from each other. Dispersion is commonly expressed in terms of the range of the sample(difference between the lowest and highest values) or by the standard deviation.
Discrete Data
Discrete data is information that can be categorized into a classification. Discrete data is based on counts. Only a finite number of values is possible, and the values cannot be subdivided meaningfully. For example, the number of parts damaged in shipment.
Attribute data (aka Discrete data) is data that can't be broken down into a smaller unit and add additional meaning. It is typically things counted in whole numbers. There is no such thing as "half a defect." Population data is attribute because you are generally counting people and putting them into various catagories (i.e. you are counting their "attributes"). I know, you were about to ask about the "2.4 kids" statistic when they talk about average house holds. But that actually illustrates my point. Who ever heard of .4 of a person. It doesn't really add addition "meaning" to the description.
Attribute data (aka Discrete data) is data that can't be broken down into a smaller unit and add additional meaning. It is typically things counted in whole numbers. There is no such thing as "half a defect." Population data is attribute because you are generally counting people and putting them into various catagories (i.e. you are counting their "attributes"). I know, you were about to ask about the "2.4 kids" statistic when they talk about average house holds. But that actually illustrates my point. Who ever heard of .4 of a person. It doesn't really add addition "meaning" to the description.
Detectable Effect Size
When you are deciding what factors and interactions you want to get information about, you also need to determine the smallest effect you will consider significant enough to improve your process. This minimum size is known as the detectable effect size.
Design Risk Assessment
A design risk assessment is the act of determining potential risk in a design process, either in a concept design or a detailed design. It provides a broader evaluation of your design beyond just CTQs, and will enable you to eliminate possible failures and reduce the impact of potential failures. This ensures a rigorous, systematic examination in the reliability of the design and allows you to capture system-level risk.
Design of experiments(DOE)
A Design of Experiment (DOE) is a structured, organized method for determining the relationship between factors (Xs) affecting a process and the output of that process (Y).
Other Definitions:
1 - Conducting and analyzing controlled tests to evaluate the factors that control the value of a parameter or group of parameters.
2- "Design of Experiments" (DoE) refers to experimental methods used to quantify indeterminate measurements of factors and interactions between factors statistically through observance of forced changes made methodically as directed by mathematically systematic tables.
Other Definitions:
1 - Conducting and analyzing controlled tests to evaluate the factors that control the value of a parameter or group of parameters.
2- "Design of Experiments" (DoE) refers to experimental methods used to quantify indeterminate measurements of factors and interactions between factors statistically through observance of forced changes made methodically as directed by mathematically systematic tables.
Descriptive statistics
Descriptive statistics is a method of statistical analysis of numeric data, discrete or continuous, that provides information about centering, spread, and normality. Results of the analysis can be in tabular or graphic format.
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