Tools of Total Quality: An Introduction to Statistical Process Control
P. Lyonnet · 1991
1 General questions and concepts.- 1.1 Introduction.- 1.2 Why quality?.- 1.3 What is total quality?.- 2 Reliability in the choice of technology.- 2.1 Quantitative analysis.- 2.2 Qualitative analysis.- 3 Controlling the manufacturing process.- 3.1 Variability in manufactured products.- 3.2 Monitoring the manufacture.- 3.3 Interval between control actions.- 4 Quality control of goods received.- 4.1 Control by attributes.- 4.2 Sequential testing.- 4.3 Control by measured properties.- 4.4 Sampling procedures.- 5 Cause-and-effect analysis.- 5.1 The Ishikawa cause-effect diagram.- 5.2 Pareto or ABC analysis.- 5.3 Rank correlation: Spearman's coefficient.- 5.4 Analysis of variance.- 5.5 Experimental designs of type 2n.- 6 Basic mathematics.- 6.1 Probability: theory, definitions.- 6.2 Probability laws.- 6.3 Confidence interval for the mean.- 6.4 Linear regression.- Exercises.- Solutions.- Appendices (Tables).- 1. Gaussian (normal) distribution.- 4. The F (Fisher-Snedecor) distribution.- 5. MTBF for a system following the Weibull law.- 6. Median ranks (Johnson's table).- 7. Laplace transforms.- 8. Random numbers.- 9. Gamma law.