STATISTICAL QUALITY CONTROL

STATISTICAL QUALITY CONTROL, A LOSS MINIZATION APPROACH

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Abstract
Statistical quality characteristics of the components are determined process can be selected for manufacture of the components. In mass production, products are assembled using parts or components manufactured or processed on different process or machines. This requires complete interchangeability of parts while assembling them, on the other hand, there will always be variations in the quality characteristics [length, weight, thickness etc.] because of the inherit variability introduced by the machines, tools, raw materials and operators. The presence of unavoidable variation and the necessity of interchangeability require that some limits be specified for the variation for any quality characteristic. A statistical control and loss minimization approach is a way of using statistical methods to minimize the total cost of quality including the cost of the defects and cost of controlling the process. this approach involves setting quality standards, collecting data on product or services characteristics, analysing the data to detect problems and then correcting these problems. This approach also helps organization achieve the highest possible quality at the lowest possible cost. The need of Statistical quality control in product and services cannot be over emphasized, as it helps in the improvement of manufacturing process to meet customer satisfaction.
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