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A Presentation on

Control Charts

Presented By

Salvi Mandar

Chaughule Pradip


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INDEX

What is a Control Chart ?

What do these charts do ?

Its advantages and purposes !ypes o" Control Charts

#o$ to plot a certain %ind o" chart

Case Study "or a particularproduct


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Control Chart

Control chart is graphicalrepresentation o" the collectedin"or&ation

It pertains to the &easured orother$ise 'udged (uality

characteristics o" the ite&s orsa&ples


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What do these charts do

It detects variations in the processingand $arns i" there is any departure"ro& the speci)ed tolerance li&its

It is pri&arily a diagnostic techni(ue

It depicts $hether there is any changeon the characteristics o" ite&s sincethe start o" the production run


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Purpose and advantages

* A control chart indicates $hether aprocess is in control or out o" control

+ It deter&ines processes varia,ility and

detects unusual variations ta%ingplace in a process

- It ensures product (uality level

. It $arns in ti&e and i" the process is

recti)ed in ti&e scrap percentagecan ,e reduced


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Purpose and advantages

/ It provides in"or&ation a,out theselection o" process and setting o"tolerance li&its

0 Control charts ,uild up the reputation o"the organi1ation through custo&er2ssatis"action


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!ypes o" control charts

Controlcharts

3aria,le or&easure&ent

charts

X4Bar 54,ar

Attri,utecharts

Controlcharts

3aria,le or&easure&ent

charts

X4Bar 54,ar

Attri,utecharts


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Co&parison o" varia,le and

attri,ute chart* 3aria,le charts involve the&easure&ent o" the 'o, di&ensions$hereas an attri,ute chart only

di6erentiates ,et$een a de"ectiveite& and a non4de"ective ite&

+ 3aria,le charts are &ore detailed andcontain &ore in"or&ation as

co&pared to attri,ute charts- Attri,ute charts is ,ased on 789 and N9

892 data re(uire co&paratively,igger sa&ple si1e

. 3aria,les charts are e:pensive


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X4,ar chart

* It sho$s changes in process and isa6ected ,y changes in processvaria,ility

+ It is a chart "or the &easure o" centraltendency

- It sho$s erratic or cyclic shi"ts in theprocess

. It detects steady progress changes; li%etool $ear

/ It is &ost co&&only used varia,les

chart


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X4,ar chart

0 When used along $ith 54,ar chart INA S!EP

Ma%e a reco&&endation to yourco&pany

!he process is capa,le

!he process is not capa,le

!he "ollo$ing errors $ere "ound

!he process needs i&prove&ent

!he variations are nor&al in thesyste& and $e &ust accept the&


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Control Charts

!he "ollo$ing control chart sho$sthe i&prove&ent o" a process

!he standard deviation decreasesas the process ,eco&es &orecapa,le


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E:a&ple o" Control Charts


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E:a&ine the process

A process is considered to ,esta,le and in a state o" control;

or under control; $hen theper"or&ance o" the process "alls$ithin the statistically

calculated control li&its ande:hi,its only chance; orco&&on causes


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CASE S!@D 9N#9SPI!AI! IND@S!5

CASE S!@D

By ent Bauer;In"or&ation Manage&entMaga1ine; August *; +/

May and Fune issues o" DM Review.
http://i/authors/32172.htmlhttp://i/authors/32172.html


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>95M@AS


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Interpret control chart

results 5ange chart )rst to ensure sta,ility

o" PI &etric process< ,ecause noranges are outside the 5C or5@C; the $ait ti&e process is incontrol


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Interpret control chartresults 5ule violation * 4 "our consecutive data

points in a ro$ trending up or do$n

&erits a caution !his occurs insu,groups * to .

5ule violation + 4 one individual data

point outside a control li&it is aserious pro,le& !his occurs "orsu,group G


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Case study o" hotel &anage&ent ,y ent Bauer is the &anaging director; Per"or&anceManage&ent Practice at 85! Corporation in Sta&"ord; C! #e has &ore than +

years o" e:perience in &anaging and developing C5M; data,ase &ar%eting; data&ining and data $arehousing solutions "or the )nancial; in"or&ation services;healthcare and CP8 industries Bauer recent articles and $or%shops have "ocusedon PI develop&ent

http


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!#AN 9@

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