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Dataputer Datastat SPC Software
Dataputer's Datastat computer spc software program provides the means to display the production process and highlights when the process violates control limits. Datastat can predict future violations and therefore improve the production process. Datastat has a comprehensive range of data entry options, charting capabilities, reporting functions and other useful features to help the production engineer minimise waste and ensure product quality. |
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Dataputer Datastat SPC CSV Software
Using advanced programming techniques, Dataputer's Datastat CSV (Client Server Version) is a powerful SPC software program, which gives professional results in an easy-to-use package. Using Client/Server technology with open database connectivity (ODBC), Datastat CSV can be linked to existing data and also allows multiple Users to share a common database. Datastat CSV is available in two versions, Administrator and Shopfloor. |
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Dataputer DATA-XLT Software
Data-XLT is a simple to use software package which allows the input of real-time data collected from a variety of devices, including thickness gauges, balances, scales, barcode scanners, laboratory instruments, directly into Microsoft R Excel. Data-XLT can either be used with serial gauges as a stand alone product, or alternatively, serial, analogue and/or MitutoyoR type gauges can be linked to a PC using a Dataputer Multiplexer. |
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Dataputer Fault Analysis Software
Dataputer Fault Analysis software has been designed to record and track all faults or defects. DFA graphically highlights problem areas helping to improve quality. Improving quality improves customer satisfaction. Using the 80:20 rule which states that approximately 80% of the improvements (of a process) come from 20% of the corrections (to a process), DFA answers the question most often asked - what can be done first that will have the greatest improvement? |
Statistical Process Control (SPC) Software
Controlling The Process
For a product to be made without scrap, it must be manufactured within specified limits. But factors can prevent this from happening:
Natural Variation: inherent in the machining process and cannot be changed without using a different process or machine
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Assignable Variation: outside influences that are controllable: temperature, sharpness of the blade, speed of manufacturing, skill of machinist etc.Costly re-work is not always possible
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An Example of Variation - A machine cutting straws to length will give an error from straw-to-straw. This is because of the inherent tolerances of the machine - Natural Variation. This is less significant than someone who cuts the same straws to length, using a ruler - Assignable Variation.
This raises the question - Is the manufacturing process able to manufacture within specification?
Testing The Process Capability
Continuing our example, cut a number of straws to the required length (usually 50). Accurately measure the straw lengths. Plot the lengths on a graph to identify the variation.
Histogram and Capability charts can be used for this purpose. Once it has been determined that the process is capable, the process can be monitored over time.
Monitoring The Process Over Time
In an ideal world, every product that is being made would be measured. In the real world, there is not enough time or resource to do this so a sample group of product is measured on a regular basis. These groups are known as subgroups.
The subgroups of data are plotted on to a graph - in chronological order:
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The average value of each subgroup is then used to generate the Process Control Chart - building up the actual manufacturing process over time, known as an Xbar Chart. |
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Setting Control Limits
In order to prevent scrap, a set of "early warning limits" known as Control Limits are established. These limits are set inside the upper and lower specification limits and warn the operator before scrap is produced. |
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spc - statistical process control & fault analysis software