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| Word |
Description |
| add |
Attribute data collection method. Accepts subtotals of defective units or defects and, once all subtotals are collected, adds them. |
| Admin |
The only user account built into WinSPC. Admin can not be denied any permission anywhere in WinSPC. The only user that can access 'System Settings'. The 'Super-User'. |
| ASCII |
Acronym for American Standard Code for Information Interchange. A 7-bit standard code adopted to facilitate the interchange of text between various types of data processing and data communications equipment.
Most software packages use this coding scheme to create text-only data files. Many gauges also use this coding scheme to communicate over serial connections. |
| assignable cause |
A notation assigned to a subgroup of data indicating the cause of that subgroup's process state. Usually applied to subgroups that violate one or more control tests.
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| attribute |
An attribute is a characteristic of a part or process that can be measured qualitatively. This is often a count of defective units or a list of possible defects. An example of an attribute would be the count of the number of units that had a particular visual defect, such as scratches or dents. Attributes are represented in WinSPC by a 'A' inside a blue diamond. Attributes use chart types such as 'p', 'np', 'u', 'c', or a Pareto. |
| baud rate |
Unit for measuring data transmission speed. One baud is one bit per second. Serial gauges and other devices usually have predefined, manufacture-specified Baud Rates. |
| box & whisker |
Chart that shows the relationship between two parameters, usually a response and a factor, in terms of measure of centrality and one of dispersion. A choice may be made between the median with quartile limits or the mean with limits expressed in standard deviations. |
| capability |
Process Capability is the ability of a process or machine to make product to the customer specified tolerance over a given period of time. Can only be determined on a process that is in statistical control. Usually measured by comparing the customer specifications against your process spread (six sigma, or 99.73% of your data). |
| characteristic |
Variable, Attribute or Short Run |
| clipboard |
A portion of computer memory set aside to store data being transferred from one location in a file or application to another. |
| collection plan |
WinSPC object that contains the configuration information necessary for an user to collect data. This includes, among other options, an ordered list of characteristics as well as the definition of how the data is collected (i.e., from a serial connection or text file). |
| constraint |
A constraint is a condition or an item that is used in list filters within a data set. Examples of constraint types include 'at least', 'at most', 'assignable cause', 'corrective action', etc.
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| control test template |
A Control Test Template is a WinSPC administrator object that contains a list of active tests and triggers (actions that take place in response to a test). The template allows you to setup your list of tests and triggers once and re-use them through applying a template or through control test template links (WinSPC 8.0 or later only). |
| defect |
Types of non-conformity observed in a part. A single part can have many defects. |
| device |
A device is an object (configured by an administrator) that allows WinSPC to collect data from external sources (such as a serial gauge, text file, network gauge, or database). |
| DSN |
Stands for "Data Source Name" and is the configuration settings that allow a computer to connect to a database through the ODBC protocol. |
| EWMA |
Exponentially Weighted Moving Average. Used to monitor the man of the process. |
| EWMS |
Exponentially Weighted Moving Sigma. Used to monitor the standard deviation of the process. |
| EWMV |
Exponentially Weighted Moving Variance. Used to monitor the standard deviation of the process. |
| EWRMS |
Exponentially Weighted Root Mean Square. Used to monitor the standard deviation of the process. |
| lambda |
λ. The weight given to the most recent rational subgroup mean. Used for EWMA, EWMV, EWMS and EWRMS charts. |
| lot size |
For attribute data. The total amount of items/units being checked for defects or defective units. |
| ODBC |
Stands for "Open DataBase Connectivity" and is a specific protocol that allows for communication with a database. |
| p-chart |
A standard SPC control chart for attribute data. It is used when counting defective units of varying lot sizes. |
| password mask |
A set of rules that controls the format of a password, defined in the WinSPC "System Settings". |
| RAVE |
Report Authoring Visual Environment. WinSPC's visual report building tool that can be used to create new report templates or modify existing ones. RAVE allows the creation of banded reports, similar to other reporting tools such as Crystal Reports. |
| report book |
Object in WinSPC under the Queries/Reports node in the Administrator Tree. Also available from the Navigator window and from within Data Collection mode. Report Books are shortcut for users run run reports that associates exactly 1 Report Template to exactly 1 Data Set |
| run chart |
Also known as line chart or line graph. Plots data over time, allowing for the identification of trends and anomalies. |
| sample |
An individual reading. Samples compose subgroups. |
| sigma |
σ, used to designate standard deviation. |
| SMTP |
Simple Mail Transfer Protocol is a standard for email transmission. |
| station |
A WinSPC station is an object in WinSPC that represents a WinSPC installation on a specific computer. Each station has a unique name (determined during the WinSPC installation process). |
| subgroup |
A point plotted on a control chart. Subgroups are composed of samples. |
| subgroup size |
For variables. The number of samples/readings averaged together and actually plotted on the control chart. |
| tag |
Object in WinSPC that is attached to a part/process to store metadata. Used during data collection to collect pieces of information that you want stored with your raw data, to be used for data filtering in reports. Tag examples include: Lot Number, Shift, Batch, Material ID, or Serial Number. Tags entries can be numeric or alphanumeric. |
| tally down |
Attribute data collection method. Assumes all samples are bad and decrements the count of defects by one each time the space bar is pressed. |
| tally up |
Attribute data collection method. Assumes all samples are good and increments the count of defects by one each time the space bar is pressed. |
| totals |
Attribute data collection method. Accepts the total number of defective units or defects as a single entry. |
| tree |
Administrator tree is the organizational structure of the Administrator Window inside WinSPC. It mimics the functionality of Windows Explorer |
| trigger |
A trigger is an action that occurs in response to a control test. For example, sending an email or displaying a message box to the operator when a point is out of control are examples of triggers. |
| variable |
A variable is a characteristic of a part or process that can be measured quantitatively. For example, height, temperature, and viscosity are all variable characteristics. Variables are represented in WinSPC by a 'V' inside a green diamond. Variables use chart types such as 'X-bar & R', 'X-bar & S', or 'X & MR'. |
| Variable Analyzer |
WinSPC tool that allows a user to analyze a single variable against specific data, based on active data filters. Can be launched by double-clicking a variable in a data set in any tab, by right clicking on the variable and selecting the 'Query' option in the Administrator Tree, or from within data collection mode for a variable by selecting the 'Data Sets' button and selecting 'Current characteristic'. |
| X-Bar & R |
A standard compound SPC control chart for variable data. The upper chart plots the average of the samples of a subgroup. The lower chart plots the range between the largest and smallest samples within the plotted subgroup. |
| X-Bar & S |
A standard compound SPC control chart for variable data. The upper chart plots the average of the samples of a subgroup. The lower chart plots the standard deviation of the samples within the plotted subgroup. |
| Zone A |
Industry standard statistical zone. Range between 2 and 3 standard deviations from your process mean. The outer bound(s) of Zone A is/are your control limit(s). |
| Zone B |
Industry standard statistical zone. Range between 1 and 2 standard deviations from your process mean. |
| Zone C |
Industry standard statistical zone. Range between 0 and 1 standard deviations from your process mean. The inner bound(s) of this zone is your process mean. |
