| PDF Pages<\/th>\n | PDF Title<\/th>\n<\/tr>\n | ||||||
|---|---|---|---|---|---|---|---|
| 1<\/td>\n | BRITISH STANDARD <\/td>\n<\/tr>\n | ||||||
| 2<\/td>\n | Committees responsible for this British\ufffdStandard <\/td>\n<\/tr>\n | ||||||
| 3<\/td>\n | Contents <\/td>\n<\/tr>\n | ||||||
| 7<\/td>\n | Introduction <\/td>\n<\/tr>\n | ||||||
| 8<\/td>\n | 1 Scope 2 Normative references 3 Terms and definitions 4 Principal features of cumulative sum (cusum) charts <\/td>\n<\/tr>\n | ||||||
| 9<\/td>\n | 5 Basic steps in the construction of cusum charts 6 Example 1: measured data 6.1 The process 6.2 Simple plot of results Figure 1a) – Simple plot of motor voltages <\/td>\n<\/tr>\n | ||||||
| 10<\/td>\n | 6.3 Standard control chart for individuals Figure 1b) – Standard control chart for individuals 6.4 Standard moving average graphs <\/td>\n<\/tr>\n | ||||||
| 11<\/td>\n | Figure 1c) – Plot of moving averages of 3 and 10 6.5 Cusum chart: overall perspective Figure 1d) – Cusum chart <\/td>\n<\/tr>\n | ||||||
| 12<\/td>\n | 6.6 Cusum chart: construction Table 1 – Tabular arrangement for determining cusum values from a sequence of individual values <\/td>\n<\/tr>\n | ||||||
| 13<\/td>\n | 6.7 Cusum chart: interpretation Table 2 – Imaginary motor data to illustrate the basic interpretation of a cusum chart <\/td>\n<\/tr>\n | ||||||
| 14<\/td>\n | Figure 2 – Cusum chart of imaginary motor voltage data to illustrate its interpretation <\/td>\n<\/tr>\n | ||||||
| 15<\/td>\n | Table 3 – Average voltages for motors in terms of variable moving average periods 6.8 Manhattan diagram <\/td>\n<\/tr>\n | ||||||
| 16<\/td>\n | Figure 3a) – Manhattan plot of motor data Figure 3b) – Cusum plot of motor data Figure 3c) – Standard plot of original motor data <\/td>\n<\/tr>\n | ||||||
| 17<\/td>\n | 7 Example 2: binomial data 7.1 Introduction 7.2 The process 7.3 Cusum chart construction <\/td>\n<\/tr>\n | ||||||
| 18<\/td>\n | Table 4 – Snapshot of detailed calculation of cusum values for piston pass\/fail results <\/td>\n<\/tr>\n | ||||||
| 19<\/td>\n | Figure 4 – Cusum chart for piston yield in sequence of casting 7.4 Cusum chart interpretation <\/td>\n<\/tr>\n | ||||||
| 20<\/td>\n | 7.5 Manhattan diagram Figure 5 – Manhattan diagram of piston yield 8 Example 3: count data 8.1 Introduction 8.2 The process <\/td>\n<\/tr>\n | ||||||
| 21<\/td>\n | Table 5 – Year by year injuries per month 8.3 Simple plot of results Figure 6 – Direct plot of injuries per month <\/td>\n<\/tr>\n | ||||||
| 22<\/td>\n | 8.4 Cusum chart <\/td>\n<\/tr>\n | ||||||
| 23<\/td>\n | Figure 7 – Cusum with radials indicating average values corresponding to key slopes 9 Example 4: effect of choice of reference value on cusum chart 9.1 Introduction <\/td>\n<\/tr>\n | ||||||
| 24<\/td>\n | 9.2 The process Table 6 – Loss in profits per fortnight due to stock-outs 9.3 Simple plot of results Figure 8a) – Plot of loss of profit per fortnight due to stock-outs of standard items over one year 9.4 Comparison of two cusum plots with different reference values <\/td>\n<\/tr>\n | ||||||
| 25<\/td>\n | Table 7 – Tabulation of cusum values for the sequence of stock-out profit losses Figure 8b) – Cusum chart with reference value of zero (the preferred value) <\/td>\n<\/tr>\n | ||||||
| 26<\/td>\n | Figure 8c) Cusum chart with reference value of \u00a34 792 (the overall average value) 10 Example 5: effect of gradual rather than step change in cusum chart 10.1 Introduction <\/td>\n<\/tr>\n | ||||||
| 27<\/td>\n | 10.2 The process and cusum Figure 9 – Cusum for fuel consumption 11 Case Study: productivity application 11.1 Aims and objectives <\/td>\n<\/tr>\n | ||||||
| 28<\/td>\n | Table 8 – Process productivity data 11.2 Preliminary evaluation of incentive scheme Figure 10 – Cusum of productivity: reference value = 905\ufffdkg per person per week <\/td>\n<\/tr>\n | ||||||
| 29<\/td>\n | 11.3 Final evaluation of incentive scheme Figure 11 – Productivity cusum with slope indicator: reference value = 950 <\/td>\n<\/tr>\n | ||||||
| 30<\/td>\n | Table 9 – Condensed results of effect of incentive scheme on amount and variation in productivity 11.4 Ongoing monitor of productivity 12 Review of cusum fundamentals 12.1 Basic requirements 12.2 Data suitability for cusum charting <\/td>\n<\/tr>\n | ||||||
| 31<\/td>\n | 12.3 Data sequencing for cusum charting <\/td>\n<\/tr>\n | ||||||
| 32<\/td>\n | 12.4 Choice of reference, or target, value <\/td>\n<\/tr>\n | ||||||
| 33<\/td>\n | 12.5 Typical uses of cusum charts 12.6 Summary of advantages of the cusum method <\/td>\n<\/tr>\n | ||||||
| 34<\/td>\n | Table 10 – Derivation of cusum plots of <\/td>\n<\/tr>\n<\/table>\n","protected":false},"excerpt":{"rendered":" Guide to data analysis and quality control using cusum techniques – Uses and value of cusum charts in business, industry, commerce and public service<\/b><\/p>\n |