Aggregate and Sales Planning

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    McGraw-Hill/Irwin Copyright 2009 by The McGraw-Hill Companies, Inc !ll rights reser"e#

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    Sales and Operations Planning

    The Aggregate Operations Plan

    Examples: Chase and Levelstrategies

    OBJECTIVES

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    1-4

    Process planning

    Strategic capacityplanning

    Sales and operations(aggregate) planning

    Salesplan

    Aggregateoperations

    plan

    Supply networkplanning

    Forecasting anddemand management

    Master sc eduling

    Material re!uirements

    planning

    "rder sc eduling

    #e icle capacityplanning

    #e icle loading#e icle dispatc ing

    $are ousereceipt

    planning

    $eeklywork%orcesc eduling

    &aily work%orcesc eduling

    Manu%acturing 'ogistics Ser ices

    'ongrange

    Mediumrange

    S ortrange

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    Sales and "perations Planning Acti ities

    Long-range planning * Greater than one year planning hori on * !s"ally per#ormed in ann"al in$rements

    %edi"m-range planning * Six to eighteen months * !s"ally &ith &ee'ly( monthly or )"arterly

    in$rements

    Short-range planning * One day to less than six months * !s"ally &ith &ee'ly or daily in$rements

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    , e Aggregate "perations Plan

    %ain p"rpose: Spe$i#y the optimal$om*ination o# * prod"$tion rate +"nits $ompleted

    per "nit o# time, * &or'#or$e level +n"m*er o# &or'ers, * inventory on hand +inventory

    $arried #rom previo"s period, Prod"$t gro"p or *road $ategory

    +Aggregation, This planning is done over an

    intermediate-range planning period o# to1. months

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    alancing Aggregate &emandand Aggregate Production .apacity

    0

    2000

    4000

    6000

    8000

    10000

    Jan Feb Mar Apr May Jun

    45005500

    7000

    10000

    8000

    6000

    0

    2000

    4000

    6000

    8000

    10000

    Jan Feb Mar Apr May Jun

    4500 4000

    90008000

    4000

    6000

    S"ppose the #ig"re tothe right represents#ore$ast demand in"nits

    /o& s"ppose thislo&er #ig"re representsthe aggregate $apa$ityo# the $ompany tomeet demand

    0hat &e &ant to do is*alan$e o"t theprod"$tion rate(&or'#or$e levels( andinventory to ma'ethese #ig"res mat$h "p

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    ey Strategies %or Meeting &emand

    Chase

    Level

    Sta*le &or'#or$e

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    Aggregate Planning 5 amples7 8nit &emand and .ost &ata

    Materials $5/unitHoldin !osts $1/unit per "o#Mar inal !ost o sto!%out $1#25/unit per "o#Hirin and trainin !ost $200/&or%er 'ayo !osts $250/&or%er 'abor (ours re)uired #15 (rs/unit*trai (t ti"e labor !ost $8/(our +e innin in,entory 250 units-rodu!ti,e (ours/&or%er/day 7#25

    -aid strai (t (rs/day 8

    S"ppose &e have the #ollo&ing "nit

    demand and $ost in#ormation:.e"and/"o Jan Feb Mar Apr May Jun

    4500 5500 7000 10000 8000 6000

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    Jan Feb Mar Apr May JunDays/mo 22 19 21 21 22 20Hrs/worker/mo 159.5 137.75 152.25 152.25 159.5 145Uni s/worker 10!3.33 91".33 1015 1015 10!3.33 9!!.!7

    #/worker #1$40" 1$21! 1$344 1$344 1$40" 1$2"0

    -rodu!ti,e (ours/&or%er/day 7#25-aid strai (t (rs/day 8

    .e"and/"o Jan Feb Mar Apr MayJun

    4500 5500 7000 10000 8000

    6000

    Given the demand and $ost in#ormation *elo&( &hatare the aggregate ho"rs2&or'er2month( "nits2&or'er( anddollars2&or'er3

    7#25 22

    7#25 0#15 48#

    84# 22 106 #22 8(rs $8 $1408

    .ut-and-,ry 5 ample7 &eterminingStraig t 'a:or .osts and "utput

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    . ase Strategy(;iring < Firing to meet demand)

    J anDays/mo 22Hrs/worker/mo 159.5Uni s/worker 1$0!3.33#/worker #1$40"

    J anDeman% 4$500&e'. in). 250*e re+. 4$250,e+. workers 3.997Hire%Fire% 3-orkore 4

    n%in' in)enory 0

    Lets ass"me o"r $"rrent &or'#or$e is 4&or'ers5

    irst( $al$"late net re)"irements #orprod"$tion( or 7899- 89;7 89 "nits

    Then( $al$"late n"m*er o# &or'ersneeded to prod"$e the netre)"irements( or7 892196 5 ; 5

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    J an Feb Mar Apr May JunDays/mo 22 19 21 21 22 20Hrs/worker/mo 159.5 137.75 152.25 152.25 159.5 145Uni s/worker 1$0!3 91" 1$015 1$015 1$0!3 9!7#/worker #1$40" 1$21! 1$344 1$344 1$40" 1$2"0

    Jan Feb Mar Apr May JunDeman% 4$500 5$500 7$000 10$000 "$000 !$000&e'. in). 250

    *e re+. 4$250 5$500 7$000 10$000 "$000 !$000,e+. workers 3.997 5.9"9 !."97 9."52 7.524 !.207Hire% 2 1 3Fire% 3 2 1-orkore 4 ! 7 10 " 7n%in' in)enory 0 0 0 0 0 0

    >elo& are the $omplete $al$"lations #or the remainingmonths in the six month planning hori on

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    Jan Feb Mar Apr May Jun

    Deman% 4$500 5$500 7$000 10$000 "$000 !$000&e'. in). 250*e re+. 4$250 5$500 7$000 10$000 "$000 !$000,e+. workers 3.997 5.9"9 !."97 9."52 7.524 !.207Hire% 2 1 3

    Fire% 3 2 1-ork ore 4 ! 7 10 " 7n%in' in)enory 0 0 0 0 0 0

    Jan Feb Mar Apr May Jun ossMaeria #21$250.00 #27$500.00 #35$000.00 #50$000.00 #40$000.00 #30$000.00 203$750.00abor 5$!27.59 7$2"2.7! 9$2!".97 13$241.3" 10$593.10 7$944."3 53$95".!2Hirin' os 400.00 200.00 !00.00 1$200.00Firin' os 750.00 500.00 250.00 1$500.00

    ?:69(79.56:

    >elo& are the $omplete $al$"lations #or the remaining months inthe six month planning hori on &ith the other $osts in$l"ded

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    'e el $ork%orce Strategy (Surplus and S ortage Allowed)

    J anDeman% 4$500&e'. in). 250*e re+. 4$250-orkers !

    ro%uion !$3"0n%in' in)enory 2$130urpus 2$1306ora'e

    Lets ta'e the same pro*lem as*e#ore *"t this time "se theLevel 0or'#or$e strategy

    This time &e &ill see' to "sea &or'#or$e level o# 6 &or'ers

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    >an Fe: Mar Apr May >un&emand )?+99 +?+99 /?999 19?999 2?999 6?999eg@ in(@ =+9 =?139 =?1)9 1?=39 -=?629 -1?399et re!@ )?=+9 3?3/9 )?269 2?//9 19?629 /?399$orkers 6 6 6 6 6 6Production 6?329 +?+19 6?949 6?949 6?329 +?2995nding in(entory =?139 =?1)9 1?=39 -=?629 -1?399 -1?+99Surplus =?139 =?1)9 1?=39S ortage =?629 1?399 1?+99

    ote? i% we recalculate t is s eet wit / workerswe would a e a surplus

    >elo& are the $omplete $al$"lations #or the remainingmonths in the six month planning hori on

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    >an Fe: Mar Apr May >un)?+99 +?+99 /?999 19?999 2?999 6?999

    =+9 =?139 19 -419 -3?419 -1?6=9)?=+9 3?3/9 )?269 2?//9 19?629 /?399

    6 6 6 6 6 66?329 +?+19 6?949 6?949 6?329 +?299=?139 =?1)9 1?=39 -=?629 -1?399 -1?+99=?139 =?1)9 1?=39

    =?629 1?399 1?+99

    >an Fe: Mar Apr May >unB2?))2 B/?=46 B2?96) B2?96) B2?))2 B/?629 B)2?999@9931?499 =/?++9 39?)+9 39?)+9 31?499 =4?999 121?=+9@99

    =?139 =?1)9 1?=39 +?+99@993?3+9 1?6=+ 1?2/+ 6?2+9@99

    ?:71(699599

    Belo" are the complete calculations for theremaining months in the six month planninghori'on "ith the other costs included

    /ote( total$osts "nderthis strategyare less thanChase at? 69579.56

    'a:or MaterialStorageStockout

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    Cuestion owl

    Sales and Operations Planninga$tivities are "s"ally $ond"$tedd"ring &hi$h planning time hori on

    a5 Long-range

    *5 =ntermediate-range$5 Short-ranged5 @eally short-rangee5 /one o# the a*ove

    %ns"er( b) Intermediate*range +i)e), - to

    ./ months0

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    Cuestion owl

    0hi$h o# the #ollo&ing are Prod"$tionPlanning Strategies $an involve trade-o##s among the &or'#or$e si e( &or'ho"rs( inventory( and *a$'logs3

    a5 Chase strategy

    *5 Sta*le &or'#or$e-varia*le &or' ho"rs$5 Level strategyd5 All o# the a*ovee5 /one o# the a*ove

    %ns"er( d) %ll of the abo e

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    16 =9

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    Cuestion owl

    0hi$h o# the #ollo&ing are $onsideredrelevant $ostsB in the AggregateProd"$tion Plan3

    a5 Costs asso$iated &ith $hanges in theprod"$tion rate

    *5 =nventory holding $osts$5 >a$'ordering $osts

    d5 >asi$ prod"$tion $ostse5 All o# the a*ove

    %ns"er( e) %ll of the abo e

    16-=9

    16 =1

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    Cuestion owl

    0hi$h o# the #ollo&ing AggregatePlanning Te$hni)"es $an *e per#ormed"sing simple spreadsheets3

    a5 C"t-and-try*5 Linear programming

    $5 Transportation methodd5 All o# the a*ovee5 /one o# the a*ove

    %ns"er( a) Cut*and*try +The other t"o in ol e morecomplex computational effort than simple

    spreadsheets)0

    16-=1

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    End o# Chapter 16

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