100-Metodos-de-Qualidade-Total

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DATA COLLECTION, ANALYSIS AND DISPLAY 217 Benefits It can be difficult to separate out random variation (often called common cause or non-assignable variation) from real variation caused by changes to the process. Control charts allow <strong>de</strong>cisions to be ma<strong>de</strong> about processes on the basis of fact rather than gut feeling. Example Figure 1 (on page 218) shows how to select the correct type of control chart according to type of data and sample size. Reference 1.S. Oakland and R.F. Followell (1990) Statistical Process Control. London: Butterworth/ Heinemann.
i'J ... 00 ... o m 0.. m Yes Xand MR chart Variables rn Attributes , INPl G;J s: m -i I o o CJ) ." o ::lJ -i o r o C l> r s: l> z l> G) m s: m Z -i Figure 1 Choosing the right control chart
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100 METHODS FOR TOTAL QUALITY MANAG
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© Gopal K. Kanji and Mike Asher 19
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PREFACE An essential part of the de
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2 100 METHODS FOR TOTAL QUALITY MAN
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THE ROLE OF TQM METHODS Total quali
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LIST OF METHODS (BY CATEGORY) Manag
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12 100 METHODS FOR TOTAL QUALITY MA
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MANAGEMENT METHODS Method 1 Accepta
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co 0 CD Q. CD Figure 1 Type of
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-- -- Component no: .:.V:..: A"R"IO
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100 100 METHODS FOR TOTAL QUALITY M
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CD Q. CD Q Fo..II.'n"J c1oJ-Jn r-
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DATA COLLECTION, ANALYSIS AND DISPL
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Page 241 and 242: REFERENCES Akao, Y. (1991) Hoshin K
Page 243 and 244: INDEX acceptable quality level (AQL
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100-Metodos-de-Qualidade-Total

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