6.5 Control - Evans Chapter 7; George Chapter 7 M GSC 485...

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MGSC 485 – Business Process Management Moore School of Business University of South Carolina 1 Evans Chapter 7; George Chapter 7
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Control Highlights Purpose: To complete project work and hand off improved process to process owner with procedures for maintaining improvements 2
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Control Charts X-bar R & X-bar S Control Plans 3
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Control Charts 4
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Control Chart Highlights Purpose: Used in variation analysis Detects “special cause variation” Method: Determine data and chart type Establish control limits Data Needs: Time series order Min 25 consecutive subgroups Min 100 consecutive observations 5
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Control Chart Uses Establish a measurement baseline Detect special cause variation Ensure process stability Enable predictability Monitor process over time Confirm impact of process improvement 6
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Control Chart Data Inputs Time series order Similar to a run chart Continuous Data or… Attribute Data Min 25 consecutive subgroups Min 100 consecutive observations 7
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Control Chart Method Steps Determine data type Determine control chart type Calculate average Calculate control limits Interpret results 8
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Determining Control Chart Type c-Chart u-Chart np-Chart p-Chart Imr 9 Poisson distribution Binomial distribution Normal distribution Attribute Data Continuous Data
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Data Type Definitions Continuous Measured on continuum scale Can be infinitely divided Examples (time, cost, physical dimensions, etc.) Attribute Count data (e.g., number of defects per table) Binary (yes/no; pass/fail) Nominal (labels, cannot be rank ordered) Ordinal (label, can be rank ordered) 10
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11 Selecting a Control Chart c - C h a r t F i x e d O p p o r t u n i t y u - C h a r t V a r i a b l e O p p o r t u n i t y D e f e c t s o r n o n c o n f o r m a n c e s C o u n t n p - C h a r t F i x e d O p p o r t u n i t y p - C h a r t V a r i a b l e O p p o r t u n i t y D e f e c t i v e o r n o n - c o n f o r m i n g u n i t s C l a s s i f i c a t i o n A t t r i b u t e D a t a I m R S u b g r o u p S i z e o f 1 S u b g r o u p S i z e o f < 8 - 1 0 S u b g r o u p S i z e > 8 - 1 0 C l a s s i f i c a t i o n D a t a T Y P E O F D A T A
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Control Charts: Context and Examples Chart Context Example C When counting “number of defects” in fixed  sample size each time Number of blemishes in samples of 100  tables; Number of patient falls per month U When measuring “number of defects per  unit” in variable sample sizes Number of dents per car door (don’t need to  sample the same number of doors to do this) nP When measuring “number of defectives” in  each sample (fixed sample size each time Number of rejected shoes from samples of  100 shoes drawn every shift When measuring “percent of  defectives” in  each sample (variable sample sizes Percent of Calls Balking per day (every day  call volume could be different)  X-Bar (r or s) When measuring a continuous variable 
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This note was uploaded on 07/02/2011 for the course MGSC 485 taught by Professor Ahire during the Spring '10 term at South Carolina.

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6.5 Control - Evans Chapter 7; George Chapter 7 M GSC 485...

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