ES - 92 Project Management

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    Project Management

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    Introduction Project Management can be used to

    manage complex projects

    Alm os t e ve ry in du s t ry worrie s a bou t how to

    m a n a g e la rge -sca le ,

    com p lica te d p ro je ct s

    e f e ct ive ly. It is a d i cu lt

    p rob le m , a nd the s ta ! e s

    a re h ig h .

    " h e # r s t s t e p in p la n n in g a n d

    s ch e d u lin g a p r o je c t is t o d e ve lop t h e wor ! b r e a ! d own s t r u c t u r e .

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    "his involves identi$ying the activities that must beper$ormed in the project. "here may be varyinglevels o$ detail, and each activity may be bro!eninto its most basic components. "he time, cost,resource re%uirements, predecessors, andperson&s' responsible are identi#ed $or each

    activity.

    ( o r ! ) r e a ! d own * t r u c t u r e .

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    *teps o$ P " and PM

    /e#ne the project and all o$ its signi#cantactivities or tas!s.

    01

    /evelop the relationships among the activities./ecide which activities must precede others.2

    /raw the networ! connecting all o$ theactivities.

    3 Assign time and4or cost estimates to each

    activity.5 ompute the longest time path through thenetwor! 6 critical path .7

    8se the networ! to help plan, schedule,monitor, and control the project.0

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    +uestions answered byP "

    (hen will the entire project be completed;1 (hat are the critical activities or tas!s in the

    project, that are, the ones that will delay theentire project i$ they are late;

    2

    (hich are the noncritical activities, that are, theones that can run late without delaying the

    entire project

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    +uestions answered byP "

    At any particular date, is the project on schedule,behind the schedule, or ahead o$ schedule;7

    =n any given date, is the money spent e%ual to,less than, or greater than the budgeted amount;0

    Are there enough resources available to #nishthe project on time;

    >

    I$ the project is to be #nished in a shorteramount o$ time, what is the best way toaccomplish this at the least cost;

    ?

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    /rawing the P " :etwor! "wo common techni%ues@

    Activity-on-node &A=:'

    nodes represent the activities

    1

    Activity-on-arc &A=A'arcs represent the activities

    2

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    Activity-on-node &A=:' In constructing, there should be one

    node representing the start o$ theproject and one node representingthe #nish o$ the project.

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    eneral 9oundry, Inc. xample

    eneral 9oundry, Inc., a metalwor!s plant in ebuity, has long been trying to avoid the expense o$

    installing a air pollution control e%uipment. "he local

    environmental protection group has recently giventhe $oundry 10 wee!s to install a complex air #ltersystem on its main smo!estac!. eneral 9oundrywas warned that it will be $orced to close unless thedevice is installed in the allotted period. "he PlantManager, wants to ma!e sure that installation o$ the#ltering system progresses smoothly and on time.

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    eneral 9oundry, Inc. xample

    ACTIVITY DESCRIPTION IMMEDIATEPREDECESSORS

    A )uild internal components --) Modi$y roo$ and Boor --

    onstruct collection stac! A

    / Pour concrete and install $rame )

    )uild high-temperature burner9 Install control system

    Install air pollution device /,

    C Inspect and test 9,

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    eneral 9oundry, Inc. xample

    *tart

    A)uild

    Internalomponents

    )Modi$y oo$

    and 9loor

    onstructollection

    *tac!

    /Modi$y oo$

    and 9loor

    9Installontrol

    *ystem

    InstallPollution/evice

    )uild)urner

    CInspect and

    "est9inish

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    Activity "imes Optimistic Time (a) D time an activity will ta!e i$

    everything goes as well as possible. "here should be only a small

    probability &say, 141EE' o$ thisoccurring.

    Pessimistic Time (b) D time an activity would ta!eassuming very un$avourable

    conditions. "here should also be only asmall probability that the activity willreally ta!e this long

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    Activity "imes Most likel time (m) D most realistic time

    estimate to complete the activity.

    ! P " o$ten assumes that time estimates $ollow thebeta probabilit distribution"

    Probability o$ 1 in1EE o$ a occurring

    P r o

    b a b i l i t

    y

    Most =ptimistic

    "ime&a'

    Most Fi!ely "ime

    &m'

    Most Pessimistic "ime

    &b'

    Probability o$ 1 in1EE o$ b occurring

    Activity "ime

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    Activity "imes "he e#pected activit time (t) , $rom beta

    distribution@

    t D &a G 5m G b' 4 0 "he variance o$ activit completion time%

    variance D H&b 6 a' 4 0 2

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    "ime estimates &(ee!s' $or eneral 9oundry, Inc.

    Activity

    Optimistic, a MostPro a le,

    m

    Pessi!mistic,

    b

    E"pecte#

    Time, t

    Variance

    A 1 2 3 2 5430) 2 3 5 3 5430

    1 2 3 2 5430

    / 2 5 0 5 10430

    1 5 > 5 30430

    9 1 2 J 3 054303 5 11 7 05430

    C 1 2 3 2 5430

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    A 2

    :etwor! with xpected Activity "imes $or eneral 9oundry, Inc.

    *tart

    B 3

    C 2

    D 4

    F 3

    E 4

    G 5

    H 2

    9inish

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    9inding the ritical Path Critical Path 6 longest time path route through the

    networ!.

    9inding the critical path, we need to determine the$ollowing %uantities $or each activity in the networ!@

    Earliest start time ( *'@ the earliest time an activity canbegin without violation o$ immediate predecessor

    re%uirements

    1

    Earliest &nish time ( 9'@ the earliesttime at which an activity can end.

    2

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    arliest "imes

    earliest #nish time D earliest start time G expected activitytime 9 D * G t

    1

    earliest start D largest o$ the earliest #nishtimes o$ immediate predecessors * D largest 9 o$ immediatepredecessors

    2

    !be$ore an activit can be started all o$ its predecessorsactivities must be completed *n other words we search $or thelargest E+ $or all o$ the immediate predecessors in determiningE,"

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    arliest "imes

    A t=2

    ES = 0 EF = 0 + 2 = 2

    *tart

    B t=3

    ES = 0 EF = 0 + 3 = 3

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    A 2

    0 2

    arliest *tart & *' K arliest 9inish & 9' "imes $or eneral 9oundry, Inc.

    *tart

    B 3

    0 3

    C 2

    2 4

    D 4

    3 7

    F 3

    4 7

    E 4

    4 8

    G 5

    8 13

    H 2

    13 15 9inish

    "he #nish time $or the project will be 17 wee!s, which is the 9 $oractivity C.

    8sing +orward Pass through the networ!@

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    A 2

    0 2

    0 2

    arliest *tart & *' K arliest 9inish & 9' "imes $or eneral 9oundry, Inc.

    *tart

    B 3

    0 3

    1 4

    C 2

    2 4

    2 4

    D 4

    3 7

    4 8

    F 3

    4 7

    10 13

    E 4

    4 8

    4 8

    G 5

    8 13

    8 13

    H 2

    13 15

    13 15

    9inish

    9or activity , which is the immediate predecessor $or two activities & K9', the latest #nish time is the smaller o$ the latest start times &5 K 1E'$or K 9 activit .

    8sing -ackward Pass through the networ!@

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    *lac! in ritical Path$or eneral 9oundry, Inc.

    Activity

    EarliestStart,

    ES

    Earliest$inish,

    E$

    %atestStart,

    %S

    %atest$inish,

    %$

    Slac& OnCriticalPath'

    A E 2 E 2 E Les

    ) E 3 1 5 1 :o

    2 5 2 5 E Les

    / 3 > 5 ? 1 :o

    5 ? 5 ? E Les

    9 5 > 1E 13 0 :o

    ? 13 ? 13 E LesC 13 17 13 17 E Les

    Activities A, , , , and C have no slac! time this means thatnone o$ them can be delayed without delaying the entire project.

    "hese are called, critical activities and are said to be on criticalath .

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    A 2

    0 2

    0 2

    ritical Path $or eneral 9oundry, Inc.

    *tart

    B 3

    0 3

    1 4

    C 2

    2 4

    2 4

    D 4

    3 7

    4 8

    F 3

    4 7

    10 13

    E 4

    4 8

    4 8

    G 5

    8 13

    8 13

    H 2

    13 15

    13 15

    9inish

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    Probability o$ Project ompletion P " uses the variance o$ critical path activities to

    help determine the variance o$ the overall project.I$ the activity times are statistically independent,the project variance is computed by summing thevariances o$ the critical activities@

    project variance D N variances o$ activities on the critical path

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    Probability o$ Project ompletion

    Cence, the project variance isproject variance D 5430 G 5430 G 30430G 05430 G 5430 D 3.111

    CriticalActivity

    Variance

    A 5430

    5430

    30430

    05430

    C 5430

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    Probability o$ Project ompletion

    17 (ee!s& xpected ompletion

    "ime'

    *tandard /eviation D1.>0 (ee!s

    project standard deviation D σ T D &projectvariance' 142

    D &3.111' 142 D 1.>0 (ee!s

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    Probability o$ Project ompletion

    O D &due date 6 expected date o$completion' ÷ σ T

    D &10 -17 (ee!s ' ÷ 1.>0D E.7>

    eneral 9oundry,Inc. E#ample

    where . is the number o$ standard

    deviations the due date or target datelies $rom the mean or expected date

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    Probability o$ eneral 9oundry *tandard/eviation

    10 (ee!s "ime

    xpected "i me is 17 (ee!s

    Probability&" 10

    (ee!s'is >1.0Q

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    (hat P " was able to Provide

    "he project

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    (hat P " was able to Provide

    "hree activities &), /, 9' are not critical buthave some slac! time built in. "his means thatresources can be borrowed, i$ needed,

    possibly to speed up the entire project.

    5

    A detailed schedule o$ activity starting andending dates has been made available.

    7

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    *ensitivity Analysis andProject Management

    Predecessor /ctivit 0 one that must be completedbe$ore the given activit can be started

    ,uccessor /ctivit 0 an activit that can be started

    onl a$ter the given activit is &nished

    Parallel /ctivit 0 an activit that does not directldepend on the given activit

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    *ensitivity Analysis andProject Management

    ActivityTime

    S(ccessorActivity

    Parallel Activity Pre#ecessorActivity

    arliest *tart Increase&decrease'

    :o change :o change

    arliest9inish

    Increase&decrease'

    :o change :o change

    Fatest *tart Increase&decrease'

    Increase&decrease'

    :o change

    Fatest 9inish Increase&decrease'

    Increase&decrease'

    :o change

    *lac! :o change Increase&decrease'

    :o change