BS 2564:1955

Foreword
Part One: Quality Control Charts for Quantitative Data
Introduction
A. How to construct the first control chart using
     measurements
B. Control chart technique when manufacturing to
     specification
1. Process variability and control chart for sample
     range
2. Classification of manufacture by process
     variability
     (i) Range out of control
     (ii) Range in control: Relative precision index
           (RPI) for low, medium and high relative
           precision
3. Rules for construction of control charts for
     sample average
     (i) Range out of control
     (ii) Range in control: Low relative precision
                             Medium relative precision
                             High relative precision
     Schedule I (for consultation in particular cases)
4. Discussion, with examples of manufacturing
     processes classified as in Section B2
     General
     (i) Range out of control
     (ii) Range in control:
           a. Low relative precision; low to medium
               precision; border-line case
           b. Medium relative precision
           c. High relative precision
           d. Medium and high relative precision,
               special case requiring higher assurance
               against accepting defective product;
               random sampling and batching the product
           e. High relative precision; special case
               requiring higher assurance against
               manufacturing defective product
Part Two: Quality Control Charts for Qualitative Data
Introduction
A. How to construct the first control chart for
     number defective
B. Control chart technique when manufacturing to
     specification requirements (qualitative data)
1. General
2. Rules for the determination of suitable inspection
     limits or gauges
     Schedule II
3. Rules for constructing control charts for number
     defective, including recommendation for size of
     sample
     (i) Specification with two limits
     (ii) Specification with one limit
4. Discussion, with examples illustrating how control
     charts for defectives can be used to estimate the
     precision of a process relative to a specification
     (i) Defectives all of one kind in a succession
           of samples
     (ii) Defectives of both kinds in the majority of
           samples
     (iii) Defectives of both kinds occasionally found
           in a sample
     (iv) Defectives in a succession of samples well
           in control with samples occasionally or
           frequently containing no defectives
     (v) Accumulated number of defectives, when the
           average number expected per sample is less
           than unity
Appendices
A. Definitions
B. Tables
C. Miscellaneous comments on sampling procedure,
     measurement, etc.
D. Sensitivity of a control chart scheme
E. Discussion of low relative precision case