Download presentation
Presentation is loading. Please wait.
1
Rev. 09/06/01SJSU Bus 140 - David Bentley1 Chapter 10 – Quality Control Control process, statistical process control (SPC): X-bar, R, p, c, process capability
2
Rev. 09/06/01SJSU Bus 140 - David Bentley2 SPC – The Control Process Define Measure Compare to a standard Evaluate Take corrective action (if necessary) Evaluate corrective action
3
Rev. 09/14/01SJSU Bus 140 - David Bentley3 Variation Random, chance, or common cause (natural) Assignable, non-random, or special cause (due to some specific change) Sampling used to detect non-random Sampling assumes a normal distribution Sample statistics calculated: Mean Range
4
Rev. 02/25/04SJSU Bus 140 - David Bentley4 Control Charts Control limits When is a process out of control? Charts for variables Mean (X-bar) charts Range (R) charts Charts for attributes Proportion or percentage (p) charts Number [or defects per unit] (c) charts
5
08/29/02SJSU Bus 140 - David Bentley5 Type I and Type II Errors Type I Conclusion: non-randomness is present and the process is out of control Reality: randomness is present and the process is in control Type II Conclusion: randomness is present and the process is in control Reality: non-randomness is present and the process is out of control
6
Rev. 09/13/01SJSU Bus 140 - David Bentley6 Mean & Range Control Charts Take required number of samples Mean (X-bar) charts (see Table 10-2) Calculate mean (X-bar) for each sample Calculate grand mean (X-double-bar) Calculate range (R) for each sample Calculate mean of all sample ranges (R-bar) Calculate UCL and LCL for means Plot grand mean and control limits on X-bar chart
7
Rev. 09/13/01SJSU Bus 140 - David Bentley7 Mean & Range Control Charts Range (R) charts (see Table 10-2) Calculate UCL and LCL for ranges Plot range mean and control limits on R- chart Plot additional samples and determine if within range limits Note: factors based on the size of the sample, not the number of samples!
8
Rev. 09/06/01SJSU Bus 140 - David Bentley8 Run tests and charts Counting above/below the median Counting “ups” and “downs”
9
01/22/02SJSU Bus 140 - David Bentley9 Process Capability Ratios Non-centered process (general case): c pk = the lower of: Upper spec – process mean ---------------------------------- or 3 Process mean – lower spec ---------------------------------- 3
10
Rev. 10/01/02SJSU Bus 140 - David Bentley10 Process Capability Ratios Centered process (special case): specification width c p = ---------------------------- process width Upper spec limit – lower spec limit = ----------------------------------------- 6
Similar presentations
© 2025 SlidePlayer.com. Inc.
All rights reserved.