'Control charts\r'

'Control Charts Control Charts are use to distinguishes between specializes or common-cause of variation that Is give In a process. There are both basic types of control charts:- Variables Quantitative entropy (Measured) Attributes qualitative data (Counted) Variable Control Charts Use positive measurements for charting Types:- comely & value charts Median & Range charts Average & Standard deviation charts Individual & Moving Range charts Run Charts Attribute Control Charts use melt down/fall or go/no-go appraisal Type improvement.To determine the process capability. For decisions In cypher to growth specifications. For current decisions in regard to lately produced items. Average & Range charts (0 and R) Guidelines for subgroup sizes (n):- As n increases the CLC get going closer to central line. 2. As n increases the reappraisal cost per subgroup increases. 3. Distributions for averages of subgroups are nearly normal for n = 4 4. If n = 10 use t he s -chart instead of R-chart . N = 5 commonly existence used in industry 6.The percentage of product that falls within any pair of set may be predicted with the highest degree of assurance. It permits the consumer to use the producers data The operator is performing satisfactorily from a calibre viewpoint. PROCESS IN CONTROL (Natural pattern of variation) nigh 34% of the plotted points in an imaginary passel between one standard deviation on both sides of the central line roughly 13. 5% of the plotted points in an imaginary circumstances About 2. 5% of the plotted points in an imaginary band\r\n'