Glossar
Num
| 1,5 Sigma-Shift | The shift of the mean or the results of a process, which is to be expected in the long-term, due to a study by Motorola |
A
| ANOVA | Acronym for: ANalyze Of VAriances |
| AQL | Acronym for: Acceptable Quality Level (Sampling procedures for inspection by attributes ISO 2859) |
B
C
| C&E-Matrix | Acronym for: Cause & Effect-Matrix, This is an extension of the cause-and effect diagram (fishbone or Ishikawa diagram). With the help of the matrix are the potential causes of a problem prioritized |
| Confidence Interval | |
| Champion | Champion (Also the project sponsor, client, promoter) is usually a member of middle management and clients for individual Six Sigma projects in companies. The Champion, "power promoter". It is often the process owners (Process Owner) for the process to be improved. |
| Chi² Distribution |
Distribution model, which is used when shares are compared |
| Control Plan | Summary of activities at the end and get after the completion of a Six Sigma project to the improved status over time. (Eg process and process instructions, SPC, …) |
| COPQ | Acronym for: Cost of Poor Quality: Describes the additional costs incurred when a product is not the customer requirements (specifications, delivery,.) Met: eg rework, increased storage costs, additional material consumption, additional import, .... (To the COPQ not include the costs incurred, for example, for the normal quality checks.) |
| Cause-effect diagram | See Ishikawa Diagram |
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Acronym for: Capability of Process; Process Capability; At an centered process this value describes the ratio of specification zur "random variation" |
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Acronym for: Capability of Process- Critical (Process capability with Offset)
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| CRM | Acronym
for: Customer Relationship Management |
| CtQ | Acronym for: Critical-to-Quality-characteristic. Quality criterion which a product must meet in order to meet the needs of the customer. (Critical "Y") |
D
E
| Elevators Pitch | Often, too, "Elevator Speech" is the well-prepared "sales pitch" for your concern. The essentials should be taught in 30 sec. |
| IPO principle | Acronym for: Input, Processing, Output (the basic format of the electronic data processing) |
| EVOP | Acronym for: Evolutionary Operations - permanent improvements on the fly using DoE methods |
F
| Fishbone-Diagram | See Ishikawa-Diagram
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| FMEA | Acronym for: Failure Mode and Effects Analysis |
| FPY / FTY |
Acronym for: First Pass Yield / First Time Yield The percentage of the products or services that the "first attempt" were successful. |
| FTA | Acronym for: Fault-Tree-Analysis Here, potential incidents can be simulated and tries to analyze their causes. The aim here is a statement about the system with respect to reliability, availability and security obtained. The methodology is expected to damage probabilities. The individual components of the damage the tree are combined using Boolean operators (and, or, not, ...). |
| F-Test | Acronym for: A statistical test, which is based on the Fischer-distribution. With the help it can be decided on the basis of samples, if two populations differ regarding your distribution. The risk of a wrong decision is limited. The F-test assumes normally distributed data. |
| Function cost analysis | See Value Analysis |
G
| Gage R&R | Measurement System Analysis "Repeatability & Reproducibility" |
| Green Belt (GB) |
A project manager for Six Sigma projects, which approximately two weeks has been trained in the DMAIC methodology, analytical problem-solving. A Green Belt works part-time in Six Sigma projects and Six Sigma techniques to apply in his department. He works on projects "smaller" scale and supports Black Belt projects. Green Belts are typically rooted in the line organization |
H
I
| ICRA | Acronym for: Innovate, Configure, Realize, Attenuate. A Procedure for the "Design for Six Sigma (DFSS). |
| IDDOV | Acronym for: Identify, Define, Design, Optimize, Verify
One of the practices in "Design for Six Sigma" (DFSS) |
| IDOV | Acronym for: Identify, Design, Optimize, Verify |
| Ishikawa-Diagram | Also "Fishbone" or cause-effect diagram called. It is structured brainstorming tool for determining the root causes of hypotheses. It was named after his "developers," the Japanese: Kaoru Ishikawa. |
K
| Kano-Model | The 70 in the years of the Japanese Noriaki Kano developed procedures for recording and analysis of customer requirements |
| CIP | Acronym for: Continuous Improvement Process |
L
| LCL | Acronym for: Lower Control Limit |
| LEAN | Slim. In the sense that was eliminated when making any "waste". |
| LEAN-Six Sigma | Combination of the improvement approaches Lean and Six Sigma. Please do not confuse with a "stripped-Six Sigma" |
| LEAN-Six Sigma Master Black Belt | Responsible for the Lean Six Sigma activities within the company. He also advises Checks and Black Belts. Master Black Belts are full-time positions. The Master Black Belt is "the" process promoter in the company |
| Leveens-Test | A statistical test can be decided with the help on a test basis, whether two populations differ regarding your distribution. The risk of a wrong decision is limited. The levees test does not require normally distributed data. |
| Long-term process capability. A moment in the stable process is subject to fluctuations in the long run. Therefore, a distinction is made between short-and long-term process capability. |
|
| LSL |
Acronym for: Lower Specification Level |
M
N
| Normal distribution | An occurrence distribution, which continuous data describes. The distribution is: symmetric and bell-shaped. . |
O
P
Q
R
| Reorganization | Reorganization of processes and organizations. This is always required if the context has changed. |
| RPN | Acronym for: Risk Priority Number (Weighted risk in a FMEA). It helps to prioritize the causes. The higher the number, the more critical is the potential error. There is a number for the assessment of each potential error. The RPN is the product of importance x probability of occurrence x detection probability. |
| RTY | Acronym for: Rolled Throughput Yield. It describes the probability with which a certain output happened a number of measuring points without error. It is produced by multiplying the individual values FTY (First Time Yield) determined for each process step. The key figure: RTY can be made both for quality characteristics as well as for yield calculations. |
S
| Short Term Capability | Short term process capability: it describes the process capability for viewing a short period (usually 50 values) |
| Sigma [σ] | σ (pronounced: sigma) is a letter from the Greek alphabet. He describes the standard deviation of a population. It is a measure of the dispersion of population (the population). (In normal distribution: the distance of the turning point of the envelope from the mean) |
| SIPOC | Acronym for: Supplier-> Input-> Process-> Output-> Customer The SIPOC chart is a graphic representation of a process or system (process visualization on high level) |
| Six Sigma Method |
A Quality niveau of Six Sigma is achieved when the process mean 6 standard deviations away from the specification limits. |
| SMART | Acronym for: Specific - Measurable - Achievable - Relevant - Time bounded |
| SPC Statistical Process Control | Statistical process control or control. It is the use of basic statistical and graphical methods for measuring, analyzing and controlling the variation within a process. The evaluation is done in so-called quality control charts. |
| Statistical distribution | See occurrence distributions |
T
V
| Value analysis | The value analysis (functional cost analysis) is an approach for products or services at cost to detect and eliminate. The method is strictly based on value, respectively, the functions.. |
| Value Stream Design |
Method for the preparation and planning of material and information flows across the value chain. Main focus of this method is to reduce the lead time and avoidance of non-value adding work (Non-Value-Add). |
| Variance (σ², s²) |
Square of the scattering: Sigma or ? (? ² s ²) |
| Variance Analysis |
See ANOVA |
| Variation | Differences between individual measurements. The variation is based on their causes. Variation from ordinary causes (common causes): These variations can not normally be influenced by the operator, but through the various factors within the process. Variation due to specific causes (Special Causes): These systematic variations due to process disturbances, which can be removed by the operator for detection again. With the help of the SPC (Statistical Process Control) can be distinguished by systematic random process variation. |
| VoC | Acronym for: Voice Of the Customer Voice of the Customer, which reflects the spoken and the unspoken needs and desires of the customer. |
W
X
| X | Is often used for the description of independent variables. So are the factors in the description of processes that share. |
Y
| Yellow Belt (YB) |
Employees who have been trained about two days in the Six Sigma methodology. He knows the philosophy and approach of Six Sigma. A Yellow Belt is a member of Team Six Sigma projects and supports them with his project work. |
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Glossar



