220 likes | 315 Views
Explore the balance between quality and cost in process monitoring, statistical sampling, and quality assurance techniques. Analyze figures representing probability density, process cycles, control charts, and quality function deployment matrix.
E N D
Chapter Eleven Quality and Assurance
Fig. 11-1 The Trade-Off BetweenQuality and Cost
Fig. 11-2 Probability Density of a Uniform Variate on (0, 1)
Fig. 11-3 Density of the Sum of ThreeUniform Random Variables
Fig. 11-4 Density of the Sum of ThreeUniform Random Variables andthe Normal Approximation
Fig. 11-5 Frequency Histogram of 150 Measurements
Fig. 11-6 Theoretical Normal Curve of Arm Length
Fig. 11-7 Chart for Tracking Arm Data
Fig. 11-8 R Chart for Tracking Arm Data
Fig. 11-9 Preliminary p chart for Xezet floppy disk data (Refer to Example 11.2)
Fig. 11-10 Revised p chart for Xezet floppy disk data (Refer to Example 11.2)
Fig. 11-11 Successive Cycles in Process Monitoring
Fig. 11-12 The Behavior of G(n, k) as afunction of k (Refer to Example 11.5)
Fig. 11-13 The Ideal OC Curve
Fig. 11-14 OC Curve for Spire Records (n = 10)
Fig. 11-15 Revised OC Curve for Spire Records (n = 25)
Fig. 11-16 Two Realizations of a Sequential Sampling Plan
Fig. 11-17 Sequential Sampling Planfor Spire Records (Refer to Example 11.8)
Fig. 11-18 ASN Curve for Spire Records (estimated)
Fig. 11-19 AOQ Curves forSpire Records(Refer to Example 11.9)
Fig. 11-20 The House of Quality:The QFD Planning Matrix