Xbar-S Chart

An Xbar-S chart monitors a variable process characteristic with rational subgroups. It uses subgroup means for location and subgroup standard deviations for short-term variation.[1]

Prerequisites

Prerequisites: control chart basics, sample standard deviation, rational subgrouping.

Process Context

Use Xbar-S when subgroup standard deviations are more appropriate than ranges, especially for larger subgroups. NIST notes that range charts are usually satisfactory for small subgroup sizes, while standard deviations are preferable for larger subgroup sizes.[1:1]

Definition

For subgroup i , compute x¯i and sample standard deviation si . The S chart checks whether short-term variation is stable; the Xbar chart checks whether subgroup means are stable.

Assumptions / Requirements

Notation

Symbol Meaning
n Subgroup size
x¯i Mean of subgroup i
si Sample standard deviation of subgroup i
x¯¯ Average of subgroup means
s¯ Average of subgroup standard deviations
A3,B3,B4 Control chart constants based on n

Control Limits / Formula

For equal subgroup size:

UCLX¯=x¯¯+A3s¯,CLX¯=x¯¯,LCLX¯=x¯¯A3s¯,UCLS=B4s¯,CLS=s¯,LCLS=B3s¯.

For n=5 , common constants are A3=1.427 , B3=0 , and B4=2.089 .[2]

Interpretation Rules

Worked Example

Four subgroups of size n=5 have means 10.02,9.98,10.05,10.00 and standard deviations 0.04,0.05,0.03,0.06 . Then x¯¯=10.0125 and s¯=0.045 .

UCLX¯=10.0125+1.427(0.045)=10.0767 LCLX¯=10.01251.427(0.045)=9.9483 UCLS=2.089(0.045)=0.0940,LCLS=0.

All example values are inside the limits, so the example has no control-limit signal.

Common Mistakes

Connections

Related note Use
Control charts Chart selection
Xbar-R chart Alternative using ranges
Control Limits and Specification Limits Avoid limit confusion
Process capability Specification comparison after stability

References


  1. NIST/SEMATECH, e-Handbook of Statistical Methods, "Shewhart X-bar and R and S Control Charts", https://www.itl.nist.gov/div898/handbook/pmc/section3/pmc321.htm ↩︎ ↩︎

  2. Douglas C. Montgomery, Introduction to Statistical Quality Control, 8th ed., Wiley, ISBN 978-1-119-39930-8. ↩︎