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How to use a control chart to increase productivityThe control chart or Shewhart control chart, as it is sometimes called, is named after W. A. Shewhart who is generally credited as being the first to introduce the methods of using a chart to express or illustrate the extent to which our products meet specifications.Dr. Shewhart created what is now commonly used for statistical control in the everyday production of goods. Shewhart's carefully designed experiments lead modern production to its ability to ensure quality even with massive amounts of goods being produced. When a process is in complete control and deviations are caught before too much damage is done, future production predictions can more accurately be made and the entire output process can be managed at a capacity that is economically sound. The use of a control chart can in effect assess the nature or behavior of variation in any given process and use that knowledge of variation to forecast future deviations and manage them.This way, rejecting products due to faults are reduced, time is not spent restarting processes and ultimately productivity is increased.
Product quality and productivity can be effect largely by deviations and variations from target specifications.So what the quality control team can do to eliminate these problems is extract samples of a certain size from the ongoing production process, produce control charts of the variability in those samples, and consider their closeness to target specifications.If the specifications are not met within the pre-specified limits that the process is immediately re-evaluated and corrected.Using control charts provide a way to detect small problems and fix them before they get worse. A control chart is a run chart of a sequence of quantitative data with five horizontal lines drawn on the chart to represent the samples.The lines on the control chart are defined as follows: Depending on the variable attributes to be measured the control chart may be referred to by another name.Below are some examples of different variables for attribute measuring control charts and their definitions: Simply put, control charts are used to increase productivity by eliminating mistakes.Increased productivity brings with it other favorable attributes such as guaranteed quality, fewer production shut downs and happier customers. . |
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