Lecture_11_21

Lecture_11_21 - Lecture of Nov 21 HW#10 due today HW#11...

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1 Lecture of Nov 21 Lecture of Nov 21 HW#10 due today. HW#11 assigned and due Nov 30, Thursday. No late homework will be accepted for this assignment. No lab on Dec 1, Friday .
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2 Chapter 6 Chapter 6 Control Charts for Attributes Control Charts for Attributes
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3 Why Attribute Charts? Why Attribute Charts? Why do we need to develop specific charts for attributes - Many data used in QC do not conform to the normal distribution we assumed before. - These data usually take the form of counts and have discrete, integer values. - Attribute data are particularly relevant in health care industry and service industry.
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4 An Example in semiconductor An Example in semiconductor manufacturing manufacturing • Surface defects on a silicon wafer
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5 An Example in semiconductor An Example in semiconductor manufacturing manufacturing Number of defects on batches of wafer surface Normal distribution does not fit! 100021 7 0700 241093011 0 6 0083054153 7404006011 0000020025 400800821 4 3 24601 2 1 1 0223 0140360463 0302300527 2133400039
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6 An Example in Health Care An Example in Health Care Application Application Monitor the hospital mortality for a number of hospitals in a region (the numbers 19, 24, 32, 35 are the ID number assigned to identify a hospital).
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7 Control Chart for Attributes Control Chart for Attributes • The attributes we will study in this course: - # of defective items in samples of size n items (follow a Binomial distribution ); - # of defects in samples of size n inspection units (follow a Poisson distribution ). - Chart No. 4-7 in the control chart table .
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8 1 General Control Chart Model (for charting statistic w, with L-sigma control limits): Distribution Parameters Known Distribution Parameters Unknown UCL = µ w + L σ w
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This note was uploaded on 02/14/2011 for the course ISEN 314 taught by Professor M during the Fall '10 term at Texas A&M.

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Lecture_11_21 - Lecture of Nov 21 HW#10 due today HW#11...

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