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PAGE
PAGE
5
QualityManagement
ByDr.MaFengcai
Take-HomeProblemSolvingandEssayQuestions
StudentName:
Problem#1-ToolsofTQM
<Problem1-A>
DevelopaParetoanalysisofthefollowingcausesofpoorgradesonanexam:
Reasonforpoorgrade
Frequency
Insufficienttimetocomplete
Latearrivaltoexam
Difficultyunderstandingmaterial
Insufficientpreparationtime
Studiedwrongmaterial
Distractionsinexamroom
Calculatorbatteriesdiedduringexam
Feltillduringexam
16
7
26
2
2
10
1
4
<Problem1-B>
MaryBethMarrs,themanagerofanapartmentcomplex,feelsoverwhelmedbythenumberofcomplaintssheisreceiving.Belowisthechecksheetshehaskeptforthelast12weeks.DevelopaParetochartusingthisinformation.Whatrecommendationswouldmake?
Week
Grounds
Parking/Drives
Pool
TenantIssues
Electrical/Plumbing
1
2
3
4
5
6
7
8
9
10
11
12
√√√
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√
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√
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√
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√
Problem#2-Reliability(SeriesReliabilityandRedundancy)
<Problem2-A>
TheNationalBankofGreeley,Colorado,processesloanapplicationsthroughthreeclerkssetupinseries:
.90
.80
.99
R1
R2
R3
RS
<Questions>
Woulditbebettertoincreasetheworstclerk’sreliabilityfrom.8to.81orthebestclerk’sreliabilityfrom.99to1?
Isitpossibletoachieve90%reliabilitybyfocusingononlyoneofthethreeclerks?
<Problem2-B>
TheNationalBankisdisturbedthatitsloanapplicationsoftheloanprocesspresentedinProblem2-A.
<Questions>
Ifoneadditionalclerkwereavailablewhichwouldbethebestplacetoaddthisclerk?
Whatistheminimumnumberoftotalclerksthatneedtobeaddedinordertoachieveasystemreliabilityof99%?
Problem#3-StatisticalProcessControl(SPC)
<Problem3-A>
Computerupgradeshaveanominaltimeof80minutes.Samplesoffiveobservationseachhavebeentaken,andtheresultsareaslisted.Determineupperandlowercontrollimitsformeanandrangecharts,anddecideiftheprocessisincontrol.
Sample
1
79.2
78.8
80.0
78.4
81.0
11
80.2
81.1
79.8
78.9
79.3
2
80.5
78.7
81.0
80.4
80.1
12
78.9
79.2
79.0
80.4
80.3
3
79.6
79.6
80.4
80.3
80.8
13
80.2
79.6
78.7
80.5
79.3
4
78.9
79.4
79.7
79.4
80.6
14
79.4
78.8
80.4
80.6
80.0
5
80.5
79.6
80.4
80.8
78.8
15
81.0
80.7
79.5
80.6
79.7
6
79.7
80.6
80.5
80.0
81.1
16
80.2
79.8
79.3
80.6
81.0
7
81.0
80.6
79.5
78.6
79.0
17
79.5
80.6
81.0
80.4
79.9
8
81.2
80.9
81.5
81.0
81.1
18
79.5
80.6
81.3
80.8
79.7
9
79.5
78.8
79.4
79.0
81.0
19
80.7
81.0
79.5
80.0
79.0
10
80.3
81.2
79.7
78.9
80.3
20
78.8
79.6
79.6
80.6
80.7
<Problem3-B>
Data-entryclerksatARCOkeyinthousandsofinsurancerecordseachday.Samplesoftheworkof20clerksareshowninthetable.Onehundredrecordsenteredbyeachclerkwerecarefullyexaminedandthenumberoferrorscounted.Thefractiondefectiveineachsamplewasthencomputed.
Setthecontrollimitstoinclude99.73%oftherandomvariationintheentryprocesswhenitisincontrol.
SampleNumber
NumberofErrors
FractionDefective
SampleNumber
NumberofErrors
FractionDefective
1
2
3
4
5
6
7
8
9
10
6
5
0
1
4
2
5
3
3
2
.06
.05
.00
.01
.04
.02
.05
.03
.03
.02
11
12
13
14
15
16
17
18
19
20
6
1
8
7
5
4
11
3
0
4
.06
.01
.08
.07
.05
.04
.11
.03
.00
.04
<Questions>
Hastheprocessbeenincontrol?
Supposeweusea95percentp-chart.Whataretheupperandlowercontrollimits?Hastheprocessgottenmoreoutofcontrol?
Supposethatthesamplesizeusedwasactually120insteadofthe100thatitwassupposedtobe.Howdoesthisaffectthechart?
Whathappenstothechartaswereducethez-value?
Whathappenstothechartaswereducethepercentage?
<Problem3-C>
InaGEinsuranceclaimsprocess,minutes,andminutes.
Thedesignspecificationtomeetcustomerexpectationsis210±3minutes.SotheUpperSpecificationis213minutesandthelowerspecificationis207minutes.
Sincearatioof1.00meansthat99.73%ofaprocess’soutputsarewithinspecifications,thisratiosuggestsaverycapableprocess,withnonconformanceoflessthan4claimspermillion.
<Questions>
Howfarcanthemeanshifttotherightbeforethecurveextendsovertheupperspecification?HowdoesthisaffecttheCpandCpk?
Increasethestandarddeviation.Atwhatvaluewillthecurvecrosstheupperspecification?
<Problem3-D>
AProcessfillingsmallbottleswithbabyformulahasatargetof3±0.15ounces.Two-hundredbottlesfromtheprocessweresampled.Theresultsshowedtheaverageamountofformulaplacedinthebottleswas3.042ounces.Thestandarddeviationoftheamountswas0.034ounces.
<Questions>
DeterminethevalueofCpk.
Roughlywhatproportionofbottlesmeetsthespecifications?
Problem#4-AcceptalbeSamplingandOCCurve
Ashipmentof2,000portablebatteryunitsformicrocomputersisabouttobeinspectedbyaMalaysianimporter.TheKoreanmanufacturerandtheimporterhavesetupasamplingplaninwhichtheαriskislimitedto5%atanacceptablequalitylevel(AQL)of2%defective,andtheβriskissetto10%atLotTolerancePercentDefective(LTPD)=7%defective.WewanttoconstructtheOCcurvefortheplanofn=120samplesizeandanacceptancelevelofc≤3defectives.
Tosolvetheproblem,weturntothecumulativePoissontable,whosecolumnsaresetupintermsoftheacceptancelevel,c.Weareinterestedonlyinthec=3columnforthisexample.Therowsinthetableareλ(=np),whichrepresentsthenumberofdefectswewouldexpectt
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