Process control methods are used to ensure quality products. Control sheets, control charts, and statistical reporting are some methods used. Companies must select the best method for the product, department, and time allotted. Control sheets use site reviews and paper documents to create a historical control record. Control charts have specific standards that goods must meet. Statistical process control methods involve creating statistical models to test goods and departments.
Process control methods represent the ways a company can inspect and adjust manufacturing methods in order to manufacture quality products. In some cases, these methods are the only way a business can discover goods or services that do not meet internal standards. Some different process control methods include control sheets, control charts, and statistical reporting. These are just some of the different production control methods that a company can implement in one or more production departments. Companies must select those methods that work best for the product, the department and the time allotted to conduct the inspections.
Control sheets are physical process control methods that use both site reviews and paper documents to create a historical control record. Here, a supervisor or other employee has to visit the production department where the control sheets are located and used for quality control. An inspection is usually required to examine and examine the manufactured goods. Answering the question on the checksheet or filling out short sections or statements is the norm here. The result is a control sheet describing the quality of the goods and the overall process.
Control charts are both similar to and different from control sheets; the biggest difference is that there is a specific standard that the manufactured goods must meet. For example, the control paper may have a lower limit and the goods must fall within the upper limit, with a medium limit representing the expected standard. Process control methods using control charts may work best for testing a batch of goods. For example, testing a select sample of goods to ensure that each falls within the lower and upper limits generally means that the entire batch must meet the company’s internal standards. Tested products that fall outside the control limits may indicate defects in the manufacturing process that need to be fixed.
The statistical process control methods are much more involved than the other two control methods here. Companies need to create statistical models, such as a probability graph defining the success or failure of goods, in which to test both manufactured goods and departments. Any tests that produce results outside the desired or expected error rate are unacceptable. For example, a company can accept a three percent failure rate on 1,000 goods produced; any differences here are unacceptable and need further research. Another type of statistic can be a deviation from acceptable standards; goods that are too far from accepted material usually fail the inspection process.
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