【正文】 Cost of Quality ……………… Cp …………………………… Cpk …………………………… CQ …………………………… CTQ ………………………… Cube Plot …………………… Customer …………………… Data Window ………………… Defect ………………………… Dependent Variable ………… A graph used to analyze experiments of a Central Composite Design. Two X?s prise the axes, and levels of constant Y are shown in the body of graph. Resembles a topographical map. Lines on a Statistical Process Control (SPC) chart that represent decision criteria for taking action on the process. Lines are drawn +/ 3 standard deviations (s) from the mean. A financial reconciliation of all the costs associated with defects (scrap, rework, concessions etc.) Statistic used to measure Process Capability. Assumes data is centred on target. Similar in concept to Statistic used to measure Process Performance. Does not assume centred data. Similar in concept to Commercial Quality. Used to categorize nonmanufacturing projects that impact the consumer and/or customer. CriticaltoQuality characteristic. An aspect of the product or service that is important to the customer/consumer. A graph used for analysis of the results of a factorial designed experiment (DoE). Shows test conditions that optimize the response. The recipient of the output of a process. May be internal (. Assembly is a customer of finishing shops), or external (. Currys, Belling etc.) who then sell our products to consumers. The spreadsheet window in Minitab where data is entered for analysis. Any aspect of a part or process that does not conform to requirements. The output of a process. The “Y” response. Descriptive Statistics ……… Design of Experiments (DoE) Discrete Data ……………… Dotplot ……………………… DPMO ………………………… DPO ………………………… DPU ………………………… e (Exponential Function) …… Entitlement ………………… Executive Summary ……… Ftest ………………………… Mean, Standard Deviation, Variance and other values calculated from sample characteristics. Also includes assorted graphs. A statistical field of study where independent variables (X?s) are systematically manipulated and the response observed. Used to demonstrate which X?s are the Vital Few, and to optimize the response. Data that can only be described by levels, . pass/fail, operator a/b/c, integer values (. number of defects). Data that cannot be broken down into finer increments. Frequency diagram representing data by ?dots? along a horizontal axis. Generally used as an alternative to a histogram for small sample sizes. Defects Per Million Opportunities 1,000,000 multiplied by total number of defects, divided by the total number of opportunities. A metric for defects equivalent to ppm used for defectives. Defects Per Opportunity total number of defects divided by total number of opportunities. Used to enter the Normal Table to obtain Z values. Defects per unit total number of defects divided by total number of units. Used primarily to calculate Rolled Throughput Yield () through the Poisson formula = eDPU. A mathematic constant roughly equal to Mathematical identity: ln(e)=1 The best the process can be. What the process would look like if all Assignable Cause Variation was controlled. The first page of output from the Minitab Process Capability selection. A test to pare variances of 2 or more samples, and to pare the equality of two or more means (in ANOVA). Factorial Experiment ……… Fractional Factorial Experiment. First Pass Yield ……………… FMEA …………………………… Functional Owner …………… GaugeXBR method ………… Gantt Chart …………………… Gauge RR …………………… Green Belt ……………………… Ha ……………………………… Ho ……………………………… A designed experiment (DoE) which involves testing of all possible binations of independent (X) variables. A designed experiment (DoE) which involves testing a fraction of all possible binations of independent (X) variables in a full Factorial experiment. Results in fewer test runs. See ?Classical Yield?. Equal to the number of good units produced divided by the total number of units produced. Failure Mode and Effects Analysis a teambased procedure that identifies and documents all possible failure modes, effects, causes and associated corrective actions. The person with financial responsibility for the process under consideration. Gauge RR method an option in Minitab. A project management tool that graphs milestones vs. the calendar. Bars are used to indicate both planned and actual duration of tasks. A means of determining the acceptability of the variability in the gauging system for use in the process. A person who uses Six Sigma tools and methodology in the course of their work, and who always has a Six Sigma project active in their place of work. Alternate Hypothesis (hypothesis of difference). The hypothesis being proven in a statistical hypothesis test. Null hypothesis (hypothesis of sameness). The starting assumption in a statistical hypothesis test. NB. The null hypothesis cannot be proved! Histogram …………………… Homogeneity of Variance …… Hypothesis test ……………… I/MR Chart ……………………… Independent Variable ………… Inferential statistics …………… Inherent Process Capability … Interaction plot ……………… A frequency diagram posed of rectangular bars whose relative heights indicate the number of counts (or relative frequency) at a particular level. A menu selection in Minitab under which