3360 Unit 03.2 2014-I-01
Transcript of 3360 Unit 03.2 2014-I-01
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ENGR 3360U Winter 2014
Unit 3.4-5
Engineering Costs and Cost Estimating
Dr. J. Michael Bennett, P. Eng., PMP,
UOIT,
Version 2014-I-01
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Unit 3 Engineering Costs and Cost Estimating
Change Record
2014-I-01 Initia Creation
!e"t re#erence Cha$ter 2
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3.4 Estimating 'odes
) *er-Unit 'ode + Uses a $er-,nit #actor e.g. cost $er s/,are #oot
) egmenting 'ode
+ &iide and Con/,er a$$roach + Indiid,a com$onent estimates are added together
) Cost Inde"es
+ istorica change in costs as a ratio reationshi$
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E"am$e ,sing Inde"es
7 8,iding cost 95.25' to 8,id in 2000. !he
Constr,ction Cost Inde" then :as 3;46. In 2010 it
:as 5260.
a :hat is the 2010 estimate<5.255360=3;46 > ;.5'
8 :hat :o,d it 8e #or 2016<
Estimate # the ann,a ? increase # > 5360=3;461=10 -1 > 3.45?
E!15 > 5.251.03515 > @.;3'
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Estimating 'odes contd.
) A!riang,ation + 7$$roaching the estimate #rom di##erent $ers$ecties and so,rces + Using di##erent so,rces to arrie at the estimate
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Unit 3 Engineering Costs and Cost Estimating
Cost Ca$acitB E/,ations
CERs ,se design aria8es to $redict costs.
CERs are more /,antitatie in nat,re than cost inde"es.
&eeo$ed #rom statistica a$$roachesUs,aB inear or non-inear regression modes.
7 common modeCost-Capacity Equation or CCE
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CCEs cont..
7 mode that reates the cost o# an asset or
actiitB to its ca$acitB.
Dther names*o:er-a: or
iing modes.
7ss,me t:o di##erent ca$acitB eesCa$acitB ee F1
Ca$acitB ee F2
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Cost Ca$acitB E/,ations
CCE is
Where x is the
correlating exponent
NormaB 0 x 1.
Hor x 1 the economies o#scae are a$$ied.
Hor x > 1 the mode is inear.Hor x 1 a arger sie ise"$ected to 8e more costBthan a inear mode.
I# x is ,nJno:n common toass,me a a,e o# 0.6
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am$e E"$onents
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Component sizeexpone
nt
Activated sludge plant 1-100MGD 0.84
aerobic digester 0.-40 MGD 0.!4
"lo#er 1000-$000 %t&min 0.4'
centri%uge 40-'0 in 0.$1
c(lorine plant000-)0000 tons per*ear 0.44
clari+er -100 MGD 0.,8
compressor !00-!100 (p 0.,1
c*clone separator !0-8000 cu%t&min 0.'4dr*er 1)-400 s%t 0.$1
+lter sand/ 0.)-!00 MGD 0.8!
(eat exc(anger )00-000 s%t 0.))
(*drogen plant )00-!0000 c%d 0.)'
laborator* 0.0)-)0 MGD 1.0!
lagoon aerated 0.0)-)0 MGD 1.1reactor )0-400 al 0.$4
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Com8ining CCEs :ith Inde" a,es
Com8ining the cost-inde" a$$roach :ith CCEsadd the time adL,stment #actor to 8etter estimate
costs that change oer time.
$eci#icaB C2 > C1F2=F1 x
It=I0
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E"am$e
!he tota design and constr,ction o# a ne:
aero8ic digester to hande a #o: o# 0.5
'G& :as 91.;' in 2000. Estimate the cost
todaB #or a #o: rate o# 2.0 'G&. !he costinde" in 2000 :as 131 and todaB 225. !he
e"$onent #or 0.2 to 40 'G& >0.24
C > 1;000002.0=0.50.24225=131 > 35461;@
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Mi#e-CBce Costs
) Goods and serices are designed and $rogress thro,gh a i#e-cBce.
) Mi#e-cBce costing + Considers the costs oer the entire i#e-cBce
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Estimating (ene#its
) Economic anaBsis o#ten re/,iresconsidering the 8ene#its as :e as the
costs.
) 'anB o# the same methods ,sed tocac,ate costs can 8e ,sed to cac,ate
8ene#its.
) (ene#its are tB$icaB in the #,t,re :hichsometimes maJes them more di##ic,t to
estimate.
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Cash Ho: &iagrams
) Costs and (ene#its oer time can 8e re$resented 8B a cash#o: diagram
) Cash #o:s are ass,med to occ,r at the end o# each $eriod.
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3.5 D8serations on Engineering Estimation
(acJ-o#-the-eneo$e
Ain-the-8a$arJ estimates
Reisit the chess8oard and :heat
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R,es o# !h,m8s
'B UnceOs e"am$e
!he R,e o# 3
!he (acJ o# the Eneo$e
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!he R,e o# i"
normaB ,se the aerage
the WCP4"ECP(C = 6 is 8etter
&est > WC-(C=6 8e reaistic #actor in time o# Bear
i 3 i i C d C i i
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!he R,e o# 3
3 $eo$e in mB ho,se
30 cose neigh8o,rs
300 on mB Logging ro,te
3000 in mB schoo dra:
30000 in mB :ard
300000 in Mondon
6000000 in Dntario-!oronto
30000000 in Canada
300000000 in N7 - 'e"ico
3000000000 Qcons,mersQ in the :ord
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R,es o# !h,m8s Lon 8enteB
o: m,ch :ater #o:s o,t o# the
'ississi$$i Rier in one daB c, mies<
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R,e o# ;2
E"$onentia are di##ic,t
'ost o# o,r $ro8ems 7RE e"$os
I# Bo, inest a s,m that m,st do,8e in yBears at an interest rate o# r $ercent=Br then
r*y > ;2 hods. RUME DH ;2
E"am$e ho: ong :i it taJe #or 91000 todo,8e at 6?< ;2=6>12 Bears 92012
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R,es o# 2
210 > 1024 or a8o,t a 1000
220 > a8o,t a miion
230
> a 8iion240> a triion
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E"am$e
7 $rogram taJes 10 seconds #or sie n>40
Increasing n 8B 1 increases time 8B 12?
e"$oR,e-o#-;2 saBs R! do,8es :hen n
increases 8B 6
(B 60 then 1000(B 160 10; seconds
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e$
o: (IG is 10; anB:aB<
7ct,aB 3.155"10; seconds in a Bear
Dr π seconds in a nanocent,rB264 > 100000000 don,ts=sec #or 5000
Bears
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7 Mitte F,i thanJs Son
gie 1P4P1 con#idence imits1. Canadian $o$,ation San 120012. Tear o# Na$oeonOs 8irth
3. Mength o# the Great MaJes=t Ma:rence:atershed
4. 'a"im,m taJeo## :eight o# a ;4; $ds
5. 'ass o# the earth6. N,m8er o# Hathers o# Con#ederation
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;. Matit,de o# Mondon Engand
@. N,m8er o# air$anes in the air at this
min,teK. N,m8er o# *Cs in Canada
10. N,m8er o# 8ones in the ad,t h,man
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Wisdom o# Cro:ds
E"am$e #rom 8ooJ #a #airs
o: manB dogs are there in Canada<
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Genera Estimating cont..
maJe s,re Bo, hae a com$ete DW
tatement o# WorJ
:orJ o,t the W( WorJ (reaJdo:ntr,ct,re com$eteB
hand o## to the $erson res$onsi8e to
estimate and costcoect them in the *reiminarB *an
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Genera Estimating cont..
WBSLevelWBSDescriptionLowRisk%HighRisk1 Progra! "# $#-1002 Pro%ect 20 #0-$0
3 Tas& 10 20-"04 '()tas& # 10-1#5 *or&+ac&age2 #-10
Esti!ation e+ens on is&
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ome E"am$es o# *it#as
misinter$retation o# DW
sco$e omissions
im$ro$erB de#ined sco$e
8ad sched,e
inacc,rate W(
missing sJisets
missed risJs
in#ation
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!hings to 7oid
:arm #,ies
too-ne: technoogies
8iggiestoo-o$timistic estimates
MINE7RI!T
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Summary
+ !here are manB tB$es o# costs) !hese inc,de c,rrent costs #,t,re costs and
#oregone costs
) Costs #or design and $rod,ction #oo: a i#e-cBce
+ Estimates) Cost and 8ene#it estimates
) Estimate modes can 8e a$$ied
) Estimates re/,ire reso,rces and so,rces to $rod,ce + Cash Ho: &iagrams
) Re$resent Pe and +e #o:s oer time
2014 I 013 31 %& 'i h (