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1
Chapter12:ManagingUncertaintyinaSupplyChain:SafetyInventory
ExerciseSolutions
1.
L
D=LD=(2)(300)=600
L=LD=2(200)=283
ss=FS-1(CSL)L=FS-1(0.95)283=465(where,FS-1(0.95)=NORMSINV(0.95))
ROP=DL+ss=600+465=1065
ExcelWorksheet12-1illustratesthesecomputations
2.
DL=(T+L)D=(2+3)(300)=1500
L=T+L=2+3(200)=447
D
ss=FS-1(CSL)L=FS-1(0.95)447=736(where,FS-1(0.95)=NORMSINV(0.95))
OUL=D(T+L)+ss=1500+736=2236
ExcelWorksheet12-2illustratesthesecomputations
3.
DL=LD=(2)(300)=600
L=LD=2(200)=283
ESC=(1–fr)Q=(1–0.99)500=5
Weusethefollowingexpressiontodeterminethesafetystock(ss):
ESC=ss[1FS(ss)]+LfS(ss)
LL
ESC=–ss[1–NORMDIST(ss/L,0,1,1)]+LNORMDIST(ss/L,0,1,0).
WeutilizetheGOALSEEKfunctioninEXCELindeterminingsafetystock(ss)byusingssasthechangingvaluethatresultsinanESCvalueof5.
ExcelWorksheet12-3illustratesthesecomputations.
2
GoalSeekset-up:
SETCELL:C29
TOVALUE:5
BYCHANGINGCELL:C27
Thisresultsinassvalueof477andthereorderpointof:
ROP=DL+ss=600+477=1,077
4.
L
D=LD=(2)(250)=500
L=LD=2(150)=212
ss=ROP–ss=600–500=100
CSL=F(DL+ss,DL,L)=F(600,500,212)=NORMDIST(600,500,212,1)=0.68
ESC=ss[1FS(ss)]+LfS(ss)
LL
ESC=–ss[1–NORMDIST(ss/L,0,1,1)]+LNORMDIST(ss/L,0,1,0)=43.86
Fillrate(fr)=1-(ESC/Q)=1-(43.86/1000)=0.96
ExcelWorksheet12-4illustratesthesecomputations
5.
L
D=LD=(2)(250)=500
LDL
=L2+D2s2=21502+25021.52=431
ss=FS-1(CSL)L=FS-1(0.95)431=709(where,FS-1(0.95)=NORMSINV(0.95))
ESC=ss[1FS(ss)]+LfS(ss)
LL
ESC=–ss[1–NORMDIST(ss/L,0,1,1)]+LNORMDIST(ss/L,0,1,0)=9
Fillrate(fr)=1-(ESC/Q)=1-(9/1000)=0.991
3
Standarddeviationofleadtime
1.50
1.00
0.50
0.00
Requiredsafetyinventory
709
539
405
349
ExcelWorksheet12-5illustratesthesecomputations
6.
FollowingaretheevaluationsfortheKhakipants:
DisaggregatedOption:
L
D=LD=(4)(800)=3200
QL=LQD=4(100)=200
Coefficientofvariation=Q/=100/800=0.13
ssperstore=FS-1(CSL)QL=FS-1(0.95)200=329(where,FS-1(0.95)=NORMSINV(0.95))Totalsafetyinventory=(329)(900)=296,074
Totalvalueofsafetyinventory=(296,074)(30)=$8,882,210
Totalannualsafetyinventoryholdingcost=(8,882,210)(0.25)=$2,220,552
Holdingcostperunitsold=2220552/(800)(900)=$3.08
AggregatedOption:
DC=kD=(900)(800)=720000
QC=kQ=900(100)=3000
D
DL=LDC=(4)(800)(900)=2,880,000
QL=LQ=4(3000)=6000
ss=FS-1(CSL)QL=FS-1(0.95)6000=9869(where,FS-1(0.95)=NORMSINV(0.95))
Totalsafetyinventory=9869
4
Totalvalueofsafetyinventory=(9869)(30)=$296,070
Totalannualsafetyinventoryholdingcost=(296070)(0.25)=$74,018
Holdingcostperunitsold=74018/(800)(900)=$0.1
Savingsintheholdingcostperunitsoldfromaggregation=$3.08-$0.1=$2.98
FollowingaretheevaluationsfortheCashmereSweaters:
DisaggregatedOption:
L
D=LD=(4)(50)=200
QL=LQD=4(50)=100
Coefficientofvariation=Q/=50/50=1
ssperstore=FS-1(CSL)QL=FS-1(0.95)100=164(where,FS-1(0.95)=NORMSINV(0.95))Totalsafetyinventory=(164)(900)=147,600
Totalvalueofsafetyinventory=(147,600)(100)=$14,760,000
Totalannualsafetyinventoryholdingcost=$14,760,000)(0.25)=$3,690,000
Holdingcostperunitsold=$3,690,0001/(50)(900)=$82
Note:theabovearealsoincorrectontheworksheet.
AggregatedOption:
DC=kD=(900)(50)=45000
QC=kQ=900(50)=1500
D
DL=LDC=(4)(50)(900)=180000
QL=LQ=4(1500)=3000
ss=FS-1(CSL)QL=FS-1(0.95)3000=4935(where,FS-1(0.95)=NORMSINV(0.95))
Totalsafetyinventory=4935
Totalvalueofsafetyinventory=(4935)(100)=$493,456
5
Totalannualsafetyinventoryholdingcost=(493456)(0.25)=$123,364
Holdingcostperunitsold=123364/(50)(900)=$2.74
Savingsintheholdingcostperunitsoldfromaggregation=$82.84-$2.74=$79.50Centralizationresultsinsavingsforbothproducts,butitisevidentthatsavingsinholdingcostperunitsoldfromaggregatingCashmereSweatersishigherthanKhakipants.So,CashmereSweatersarebetterforcentralization.
ExcelWorksheet12-6illustratesthesecomputations.
7.
DisaggregatedOption:
France:
L
D=LD=(8)(3000)=24000
L=LD=82000=5657
ssatFrance=FS-1(CSL)L=FS-1(0.95)5657=9305
(where,FS-1(0.95)=NORMSINV(0.95))
Thessattheotherfivecountriesisevaluatedinasimilarmanner,whichresultsinatotalssfor
Europeof48,384
AggregatedOption:
ii=1
DC=6D=3000+4000+2000+2500+1000+4000=16500
62=
i
i=1
20002+22002+14002+16002+8002+24002=4445.22
C=
D
DL=LDC=(8)(16500)=132,000
L=L=8(4445.22)=12573
ss=FS-1(CSL)L=FS-1(0.95)12573=20,681(where,FS-1(0.95)=NORMSINV(0.95))
6
Inventorysavingsfromaggregation=48,384–20,681=27,704
ExcelWorksheet12-7illustratesthesecomputations.
8.
(a)
DisaggregatedOption:
Fromthepreviousproblem,weknowthatthetotalssforEuropeis48,384
Holdingcost=(200)(0.25)(48384)=$2,419,200
AggregatedOption:
ss=20,681
Holdingcost=(200)(0.25)(20681)=$1,034,036
Savingsfromaggregation=$2,419,200-$1,034,036=$1,385,164
(b)Ifthe$5/unitadditionalcostofassemblyfromcentralizationthenthetotaladditionalcosts=(132000)(52)(5)=
Savings=$1,385,164-So,itisnoteconomicaltoaggregate
(c)Iftheleadtimechangesto4weeks,weevaluatethesafetystocksandassociatedcostsinasimilarmanner.
Theholdingcostfromthedisaggregatedoption=(200)(0.25)(34213)=$1,710,650
Theholdingcostfromtheaggregatedoption=(200)(0.25)(14623)=$731,150
Savingsfromaggregation=$1,710,650-$731,150=$979,500
ExcelWorksheet12-8illustratesthesecomputations.
9.
Sincethedemandatvariouslocationsisnotindependent,weutilizethefollowingexpressionsfortheaggregatedoption:
DC==1Di
var(DC)=σ+2pijij
i=1i>j
=var(DC)
7
Forp=0.2
=var(DC)=20002+...+24002+2(0.2){(2000)(2200)+...+(800)(2400)
L=L=20002+...+24002+2(0.2){(2000)(2200)+...+(800)(2400)}8
=17307
ss=FS-1(CSL)L=FS-1(0.95)17307=28467(where,FS-1(0.95)=NORMSINV(0.95))Inventorysavingsfromaggregation=48,384–28,467=19,918
Holdingcostsavingsfromaggregation=(200)(0.25)(19918)=$995,900
Thefollowingtableshowsthesavingsasthecorrelationcoefficientincreasesfrom0to1withincrementsof0.2
ReplenishmentLeadTime(Weeks)
4
$979,474$704,191$489,462$307,211$146,047
$0
6
$1,199,606$862,454$599,466$376,255$178,870
$0
8
$1,385,185$995,876$692,203$434,462$206,542
$0
10
$1,548,684$1,113,424 $773,907 $485,743$230,921
$0
12
$1,696,498$1,219,694 $847,772 $532,105$252,961
$0
Corr.Coeff.
995876.3
0
0.2
0.4
0.6
0.8
1
ExcelWorksheet12-9illustratesthesecomputations.
10.
UsingSeaTransportation:
Averagebatchsize=DT=(5000)(20)=100,000
L=LD=36(4000)=24,000
ss=FS-1(CSL)L=FS-1(0.99)24000=55832(where,FS-1(0.99)=NORMSINV(0.99))
Daysofsafetyinventory=55832/5000=11.17days
Averagecycleinventory=batchsize/2=100000/2=50,000
Daysofcycleinventory=50000/5000=10days
8
Totalinventorycost(cycle+safety)=(50000+55832)(100)(0.2)=$2,116,640
Transportationcostperyear=(0.5)(5000)(365)=$912,500
AnnualHoldingCost+TransportationCost=$2,116,640+$912,500=$3,029,140
In-TransitInventory=DL=(5000)(36)=180,000
CostofHoldingIn-TransitInventory=(180000)(100)(0.2)=$3,600,000
TotalCosts(includingin-transitinventory)=$3,029,140+$3,600,000=$6,629,140
UsingAirTransportation:
Averagebatchsize=DT=(5000)(1)=5,000
L=LD=4(4000)=8,000
ss=FS-1(CSL)L=FS-1(0.99)8000=18,611(where,FS-1(0.99)=NORMSINV(0.99))
Daysofsafetyinventory=18611/5000=3.72days
Averagecycleinventory=batchsize/2=5000/2=2,500
Daysofcycleinventory=2500/5000=0.5days
Totalinventorycost(cycle+safety)=(2500+18611)(100)(0.2)=$422,220
Transportationcostperyear=(1.5)(5000)(365)=$2,737,500
AnnualHoldingCost+TransportationCost=$422,220+$2,737,500=$3,159,720
In-TransitInventory=DL=(5000)(4)=20000
CostofHoldingIn-TransitInventory=(20000)(100)(0.2)=$400,000
TotalCosts(includingin-transitinventory)=$3,159,720+$400,000=$3,559,720
Basedontheresultsairtransportationwouldbetheoptimalchoice,butifMotoroladoesnothavetheownershipofin-transitinventorythenseatransportationistheoptimalchoice.
ExcelWorksheet12-10illustratesthesecomputations.
9
11.
UsingSeaTransportation:
Averagebatchsize=DT=(5000)(20)=100,000
L=L+T=36+20(4000)=29,933
D
ss=FS-1(CSL)L=FS-1(0.99)29933=69,635(where,FS-1(0.99)=NORMSINV(0.99))Daysofsafetyinventory=69635/5000=13.93days
OUL=D(T+L)+ss=5000(36+20)+69635=349,635
Averagecycleinventory=batchsize/2=100000/2=50,000
Daysofcycleinventory=50000/5000=10days
Totalinventorycost(cycle+safety)=(50000+69635)(100)(0.2)=$2,392,700
Transportationcostperyear=(0.5)(5000)(365)=$912,500
AnnualHoldingCost+TransportationCost=$2,392,700+$912,500=$3,305,200
In-TransitInventory=DL=(5000)(36)=180,000
CostofHoldingIn-TransitInventory=(180000)(100)(0.2)=$3,600,000
TotalCosts(includingin-transitinventory)=$3,029,140+$3,600,000=$6,905,200
UsingAirTransportation:
Averagebatchsize=DT=(5000)(1)=5,000
L=L+T=4+1(4000)=8,944
D
ss=FS-1(CSL)L=FS-1(0.99)8944=20,807(where,FS-1(0.99)=NORMSINV(0.99))
Daysofsafetyinventory=20807/5000=4.16days
OUL=D(T+L)+ss=5000(1+4)+20807=45,807
Averagecycleinventory=batchsize/2=5000/2=2,500
Daysofcycleinventory=2500/5000=0.5days
10
Totalinventorycost(cycle+safety)=(2500+20807)(100)(0.2)=$466,150
Transportationcostperyear=(1.5)(5000)(365)=$2,737,500
AnnualHoldingCost+TransportationCost=$466,150+$2,737,500=$3,203,650
In-TransitInventory=DL=(5000)(4)=20000
CostofHoldingIn-TransitInventory=(20000)(100)(0.2)=$400,000
TotalCosts(includingin-transitinventory)=$3,203,650+$400,000=$3,603,650
Basedontheresultsairtransportationwouldbetheoptimalchoice.EvenifMotoroladoesnothavetheownershipofin-transitinventory,airtransportationistheoptimalchoice.
ExcelWorksheet12-11illustratesthesecomputations.
12.
ss=ROP–DL=750–300(2)=750-600=150
L=LD=2(100)=141.42
CSL=F(DL+ss,DL,L)=F(750,600,141.42)=NORMDIST(ss/L,0,1,1)=85.56%
ESC=一ss[1一FS(ss)]+LfS(ss)
LL
ESC=–ss[1–NORMDIST(ss/L,0,1,1)]+LNORMDIST(ss/L,0,1,0)=10
Fillrate(fr)=1-(ESC/Q)=1-(10/1500)=0.993
IftheROPincreasedfrom750to800thefillratewillincreaseto0.996
ExcelWorksheet12-12illustratesthesecomputations.
13.
Fillrate(fr)=1-(ESC/1500)=0.999
So,ESC=1.5
ESC=一ss[1一FS(ss)]+LfS(ss)]
LL
ESC=–ss[1–NORMDIST(ss/L,0,1,1)]+LNORMDIST(ss/L,0,1,0)=1.5
11
WeusetheGOALSEEKfunctionindeterminingthesafetystock(ss)byusingssasthechangingvaluethatresultsinanESCvalueof1.5.
GoalSeekset-up:
SETCELL:A15
TOVALUE:1.5
BYCHANGINGCELL:D12
Thisresultsinanssvalueof271andareorderpointof=300(2)+271=871
ExcelWorksheet12-13illustratesthesecomputations.
14.
(a)
DisaggregatedOption:
=L+T=3+7(50)=158
L+TD
ssperstore=FS-1(CSL)L=FS-1(0.99)158=367.83
(where,FS-1(0.99)=NORMSINV(0.99))
Totalsafetyinventory=(367.83)(25)=9195.7
AggregatedOption:
DC=kD=(25)(300)=7500
var(DC)=σ+2pijij
k
i=1i>j
=var(DC)
C=k=25(50)=250(weareassumingthatp=0.Ifpisnot0thenthecovariance
D
termshavetobeincluded)
=
L+T
L+TC=3+7(250)=791
D
ss=FS-1(CSL)L=FS-1(0.99)791=1839.14(where,FS-1(0.99)=NORMSINV(0.99))
12
Unitssavingsfromaggregation=9195.7–1839.14=7356.56
Inventorysavings=(7356.56)(10)=$73,566
Annualholdingcostsavings=(73,566)(0.2)=$14,712
Increaseindeliverycost=(300)(25)(365)(0.02)=$54,750
Sincetheincreaseintransportationcostsoutweighsthesavingsreceivedfromaggregation,wedonotrecommendaggregationforthiscase.
(b)
Weutilizethesameapproachasin(a)bychangingthedailydemandmeanandstandarddeviationto5and4,respectively
Unitssavingsfromaggregation=735.66–147.13=588.52
Inventorysavings=(588.52)(10)=$5885.2
Annualholdingcostsavings=($5885.2)(0.2)=$1177
Increaseindeliverycost=(5)(25)(365)(0.02)=$913
Sincetheincreaseintransportationcostsdoesnotoutweighthesavingsreceivedfrom
aggregation,werecommendaggregationforthiscase.
(c)Yes.Thebenefitfromaggregationdecreasesaspincreases.Whenp=0.5,wedonotrecommendaggregationinbothcases.
ExcelWorksheet12-14illustratesthesecomputations.
15.
(a)
PopularVariantatLargeDealer:
Decentralized:
ss(ateachlargedealer)=FS-1(CSL)LD=FS-1(0.95)4(15)=49.35
ss(acrossalllargedealers)=(5)(49.35)=246.73
PopularVariantatSmallDealer:
Decentralized:
ss(ateachsmalldealer)=FS-1(CSL)LD=FS-1(0.95)4(5)=16.45
ss(acrossallsmalldealers)=(30)(16.45)=493.46
(b)
PopularVariantallInventoriesCentralized:
Lowvolumevariantwithoutcomponentcommonality:
13
Demandperperiod=demandatlargedealers+demandatsmalldealers
=(50)(5)+(10)(30)=550
Standarddeviationofdemandperperiod=5(15)2+30(5)2=43.30
ss(atregionalwarehouse)=FS-1(CSL)LD=FS-1(0.95)4(43.30)=142.45reductioninsafetyinventoryfromcompleteaggregation=246.73+493.46–142.45=597.74
holdingcostsavingsperyear=(597.74)(20000)(0.2)=$2,390,942.52
production+transportationcostincreaseperyear=(550)(100)(52)=$2,860,000
(c)
PopularVariantonlySmallDealerInventoriesCentralized:
Demandperperiod=demandatsmalldealers
=(10)(30)=300
Standarddeviationofdemandperperiod=30(5)2=27.39
ss(atregionalwarehouse)=FS-1(CSL)LD=FS-1(0.95)4(27.39)=90.09
reductioninsafetyinventoryfromsmalldealercentralization=493.46–90.09=403.36
holdingcostsavingsperyear=(403.36)(20000)(0.2)=$1,613,440
production+transportationcostincreaseperyear=(300)(100)(52)=$1,560,000
(d)Centralizinginventoriesfromsmalldealersanddecentralizingatlargedealersistheoptimalstrategy
(e)Similaranalysiscanbeperformedfortheuncommonvariant(SeeEXCELWorksheet12-15formoredetails)
(f)Forthepopularvariant,centralizeinventoriesfromsmalldealersanddecentralizeatlargedealers.Fortheuncommonvariant,centralizeallinvento
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