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    BASIC CONCEPTS

    OF OPERATIONS

    PREP TEAM

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    List of Interns

    Amazon Aditya Navali

    Tanuj Madan

    Flipkart Ravi Teja Palla

    Phani Kiran

    Global E-Proure!GEP" Rohit Mennon

    Tata #teel #ayantan $a%

    &o%h Abhi%hek Katiyar

    A&G Teja% Kulkarni

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    BASIC CONCEPTS

    OPERATIONS MANAGEMENT

    PROCESS ANALYSIS

    SUPPLY CHAIN MANAGEMENT

    INVENTORY MANAGEMENT

    THEORY OF CONSTRAINTS

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    Operations Manageent

    B!siness f!n"tion responsi#$e forp$anning% "oor&inating an& "ontro$$ingt'e reso!r"es nee&e& to pro&!"e

    pro&!"ts an& ser(i"es for a "opan)*

    Services Manufacturers

    Intangi#$e Pro&!"t Tangi#$e pro&!"t

    No in(entor) In(entor) "osts

    Hig' "!stoer "onta"t Lo+ "!stoer "onta"t

    S'ort response tie Longer response tie

    La#or intensi(e Capita$ intensi(e

    ,i-"!$t) in eas!ringo!tp!t

    .!anti/a#$e o!tp!t

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    Operations an& s!pp$)strateg) Setting #roa& po$i"ies an& p$an for !sing reso!r"es of a /r

    to #est s!pport its $ong ter "opetiti(e strateg)*

    Copetition &iensions "o!$& #e0 Cost or Price

    Ma1e t'e pro&!"t or &e$i(er t'e ser(i"e "'eap Quality

    Ma1e a great pro&!"t or &e$i(er a great ser(i"e

    Delivery Speed

    Ma1e t'e pro&!"t or &e$i(er t'e ser(i"e 2!i"1$)

    Delivery Reliability ,e$i(er it +'en proise&

    Coping with changes in demand

    C'ange its (o$!e

    Flexibility new product introduction speed

    C'ange it

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    Or&er .!a$i/ers 3 4inners

    !rder "uali#ers are t'e #asi" "riteriat'at perit t'e /rs5 pro&!"t to #e"onsi&ere& as "an&i&ates for p!r"'ase

    #) "!stoers

    !rder $inners are t'e "riteria t'at

    &i6erentiates t'e pro&!"ts 3 ser(i"es ofone fro anot'er

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    Pro"ess Ana$)sis 7 Basi" ,e/nitions

    %ottlenec&' Go(erns t'e o!tp!t rate of t'e pro"ess

    Setup (ime'Tie re2!ire& to prepare a a"'ine to a1e anite

    !peration (ime' S! of t'e set!p tie an& r!n tie for a

    #at"' of parts $aiting (ime'Tie spent +aiting to #e ta1en !p for

    operation

    (hroughput (ime' It is t'e a(erage tie for a !nit to o(et'ro!g' t'e s)ste* S! of operation tie an& +aiting tie*

    Cycle (ime'Tie #et+een "op$etion of 8 !nits of o!tp!t

    Capacity' Ma9i! a s)ste "an pro&!"e in a gi(en tieperio&

    Capacity )tili*ation0 A"t!a$ o!tp!t:Capa"it)

    !utput Rate'Tota$ tie:C)"$e Tie

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    Pro"ess C$assi/"ation

    Ma&e to !rder pro"ess is a"ti(ate& on$) inresponse to an a"t!a$ or&er ;

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    Pro"ess 7 S'op F$oor

    ,ob Shop' Mar1e& #) $o+ (o$!e of 'ig'(ariet) of goo&s 3 ser(i"es* 4or1 in"$!&essa$$ >o#s% ea"' +it' soe+'at &i6erent

    pro"essing re2!ireents -ssembly .ine' Use& +'en 'ig'er

    (o$!es of stan&ar&i?e& goo&s or ser(i"esare nee&e&* Repetiti(e pro"essing

    Pro/ect' Mar1e& #) a n!#er of a"ti(itiesto #e perfore& in a &e/ne& se2!en"e*En& of a$$ a"ti(ities ar1 t'e en& of t'e

    pro>e"t* Pro>e"t is t)pi"a$$) a one s'ot

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    Lean Si9 Siga

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    Re&!"ing Variation

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    C$assi/"ations of Operations P$anning

    .ong Range Planning 0 @ )ears

    Medium Range Planning 0 )ear Short Range Planning 0 $ess t'an )ear ;SDU

    Le(e$=

    T'e e&i! range p$anning ;"riti"a$= is tere&as -ggregate Production Planning ;APP=* In

    s!"' "ases t'e &ean& is ass!e& to #e&)nai"*

    (he goal of aggregate planning is to achievea production plan that will e0ectively utili*e

    the organi*ation1s resources to satisfyexpected demand*

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    Pro&!"tion P$anning Frae+or1

    ,ean&Fore"asti

    ng

    APPAggregat

    ePro&!"tio

    nP$anning

    MPSMaster

    Pro&!"tion

    S"'e&!$ing

    MRPMateria$

    Re2!ireent

    P$anning

    ,a) to,a)

    S"'e&!$ing

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    Porter5s @ For"es Porter5sVa$!e "'ain

    ' Frae+or1 to ana$)?e"opetition

    ' To 1no+ attra"ti(enessof In&!str)

    ' C'ain of a"ti(ities in a /r' Stri(e for Copetiti(e a&(antage a= Cost 3 #= ,i6erentiation

    a&(antage

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    S!pp$) C'ain Manageent

    Supply Chain 2SC3't'e se2!en"e of#!siness pro"esses an& inforationt'at pro(i&es a pro&!"t or ser(i"e fros!pp$iers t'ro!g' an!fa"t!ring an&&istri#!tion to t'e !$tiate "!stoer*

    Supply Chain Management 2SCM3'is a set of approa"'es !ti$i?e& toe-"ient$) integrates!pp$iers%an!fa"t!res% +are'o!ses% an& stores%so t'at er"'an&ise is pro&!"e& an&

    &istri#!te& at rig't 2!antities% to t'erig't $o"ations% an& at t'e rig't tie% inor&er to inii?e system wide costs+'i$e satisf)ing service levelre"uirements

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    E(o$!tion of S!pp$) C'ain P'i$osop')

    SCM P+4.!S!P+5' T'e entire s!pp$)

    "'ain is a sing$e%integrate& entit)

    ' T'e "ost% 2!a$it) 3&e$i(er)re2!ireents

    are "entra$

    ' S!pp$) t!ne& to&ean&

    '

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    Iss!es in SCM

    ,e"isions in SCM

    A* Operationa$ $e(e$ 0 &a) to &a) &e"isions E9 0 S"'e&!$ing% $oa&ing

    B* Ta"ti"a$ $e(e$ 0 E(er) 2!arter 3 )ear E9 0 P!r"'asing% in(entor)

    C* Strategi" $e(e$ 0 Long $asting e6e"t E9 0 Pro&!"t&esign%o!tso!r"ing

    .Fe+ Iss!es in SCM

    o.,istri#!tion net+or1 "on/g!rationo.

    In(entor) Contro$o.S!pp$) Contra"tso.S!pp$) C'ain Integration an& Strategi" Partneringo.O!tso!r"ing an& O6 so!r"ingo. Inforation Te"'no$og) an& ,e"ision s!pport s)steso.S!pp$) si&e an& ,ean& si&e ris1s

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    Ne+ Con"epts 3 Tren&s inSCM

    ERP ;MRP= S)stes% S!pp$ier S"ore"ar&s

    O6s'ore o!tso!r"ing

    Ven&or Manage& In(entor)

    ISO "erti/e& s!pp$iers

    RFI, ; Ra&io Fre2!en") I&enti/"ation=

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    In(entor) Manageent 0 4')

    E"onoi"s in(o$(e& in pro&!"ing orp!r"'asing in #at"'es

    Un"ertaint) in #ot' &ean& an& s!pp$)

    Seasona$it) in &ean& pattern A(ai$a#i$it) of &i6erent transportation

    an& &istri#!tion o&e$s

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    In(entor) Manageent 0 T)pes 3 De) Ters

    In(entor) in S!pp$) C'ain 0

    a= Ra+ Materia$ In(entor)

    #= 4or1 In Pro"ess ;4IP= In(entor)

    "= Finis'e& Pro&!"t

    De) Ters 0

    Ser(i"e $e(e$ Safet) sto"1

    Cost of o(er sto"1ing

    Cost of !n&er sto"1ing

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    E6e"ti(e In(entor) Po$i") Fa"tors

    C!stoer ,ean& 7 Fore"asting%Varia#i$it)

    Rep$enis'ent $ea& tie 7 "ertain or

    !n"ertain N!#er of &i6erent Pro&!"ts:SDUs

    Ser(i"e $e(e$ re2!ireents

    T'e $engt' of t'e p$anning 'ori?on Costs 7 a= Or&er "ost 7$arge or&er %

    sa$$er pri"e

    #= In(entor) Ho$&ing Cost E9 0

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    In(entor) Contro$ Po$i"ies

    In(entor) "ontro$ ans+ers t'e fo$$o+ing2!estions 4'at s'o!$& #e t'e or&er 2!antit) ;.=

    4'en s'o!$& an or&er #e p$a"e&% "a$$e&reor&er point ;ROP=

    Ho+ !"' safet) sto"1 ;SS= s'o!$& #e

    aintaine&T+o "ategories of In(entor) "ontro$

    po$i"ies

    4nventory ControlPolicy

    ContinuousReview

    Periodic Review

    !rder Quantity Constant Varia#$e

    (ime betweenorders

    Varia#$e Constant

    $hen to !rder6 4'en in(entor) At t'e en& of T

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    E"onoi" Or&er .!antit);.= Or&er 2!antit) of in(entor) t'at inii?es tota$

    "ost of in(entor) anageent

    Ba$an"es t+o "osts in(entor) "arr)ing "osts an&or&ering "osts

    Tota$ in(entor) "ost Or&ering "ost Carr)ing"ost

    ,ri(es $o+ or&ering "osts &!e to 'ig' #at"' si?es

    Ma) $ea& to 'ig' in(entor) $e(e$s t'at in"rease0 Re+or1 "osts

    Lost or #ro1en ites

    O#so$es"en"e

    Ass!ptions ,i6erent Mo&e$s

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    ABC Ana$)sis

    C$assi/"ation of a$$ "ons!ption ites% #ase& ont'e 7Consumption 8alue9

    Cons!ption Va$!e , C

    , ann!a$ &ean& in !nits C "ost per !nit in Rs* Base& on CV% in(entor) of a n!#er of ites "an

    #e separate& into A% B an& C "$asses

    - items'Top ites a""o!nt for :;< of C8

    % items'Ne9t 8 ites a""o!nt for =;< of C8 C items' Botto J ites a""o!nt for >;< of

    C8

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    Pareto R!$e ;K:8=

    Named a(ter the )talian eonomi%t* Vilfredo Pareto

    + ,e ob%erved that ./ o( the inome in )taly* 0a% reeived by

    1./ o( the )talian population2

    + Thi% beame the (amou% 80/20 rule

    + 1./ o( lient% are re%pon%ible (or ./ o( %ale% volume

    + ./ o( %tok movement% are (or 1./ o( our produt%

    The a%%umption i% that 3most of the results in any situation are

    determined by a small number of causes.

    + Are mo%t o( our problem% !proe%% variation" au%ed by a

    limited number o( thin4% !variable%"5

    + Pareto analy%i% an help %ee i( thi% i% true

    + Note6 $on7t think that the perenta4e% 0ill al0ay% be .81.

    + 9ou7re ju%t lookin4 (or %omethin4 that stands out

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    =?

    THEORY OFCONSTRAINTS

    S'ortter Capa"it) Optii?ation

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    =:

    T'eor) of Constraints

    Signi/"an"e of #ott$ene"1s Ma9i! spee& of t'e pro"ess is t'e spee&

    of t'e s$o+est operation

    An) ipro(eents +i$$ #e +aste& !n$esst'e #ott$ene"1 is re$ie(e& Bott$ene"1s !st #e i&enti/e& an& ipro(e& if

    t'e pro"ess is to #e ipro(e&

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    =@

    T'eor) of Constraints

    P!rpose is to i&entif) #ott$ene"1s or ot'er"onstraints an& e9p$oit t'e to t'e e9tentpossi#$e I&enti/"ation of "onstraints a$$o+s anageent to

    ta1e a"tion to a$$e(iate t'e "onstraint in t'e f!t!re Re&!"e ")"$e tieTie fro re"eipt of "!stoer or&er to s'ipent

    Ipro(e an!fa"t!ring ")"$e e-"ien") ;MCE= Pro"essing tie : tota$ ")"$e tie

    Ass!es "!rrent "onstraints "annot #e "'ange& int'e s'ortr!n 4'at s'o!$& #e pro&!"e& no+% +it' "!rrent

    reso!r"es% to a9ii?e pro/ts

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    =A

    T'eor) of Constraints

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    B;

    T'eor) of Constraints

    Constraining reso!r"e !st #e a9ii?e& A$$ ot'er operations !st #e geare& to+ar& t'is goa$

    Ma) re2!ire s!#optii?ation in ot'er areas Upstrea operations !st pro(i&e on$) +'at t'e "onstraint

    "an 'an&$e ,o+nstrea operations +i$$ on$) re"ei(e +'at t'e "onstraint

    "an p!t o!t

    Constraint !st #e 1ept operating at its f!$$ "apa"it) If not% t'e entire pro"ess s$o+s f!rt'er

    Fo"!s is on a9ii?ing t'ro!g'p!t Sa$es 7 tota$$) (aria#$e "osts

    A$$ ot'er "osts treate& as /9e& operationa$ e9penses Cannot (ar) !"' in t'e s'ortr!n

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    B>

    T'eor) of Constraints

    Base& on t'e "on"epts of &r!% #!6er an& ropes

    ,r!

    O!tp!t of t'e "onstraint is t'e &r!#eat

    Sets t'e tepo for ot'er operations

    Te$$s !pstrea operations +'at to pro&!"eTe$$s &o+nstrea operations +'at to e9pe"t

    B!6er Sto"1pi$e of +or1 in pro"ess in front of "onstraint

    Pre"a!tion to 1eep "onstraint r!nning if !pstrea operations areinterr!pte&

    Rope Se2!en"e of pro"esses prior to an& in"$!&ing t'e "onstraint

    4ant to p!$$ t'e rope at t'e a9i! spee& Spee& of t'e "onstraint

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    B=

    T'eor) of Constraints

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    BB

    Steps in t'e TOC Pro"ess

    Interna$ Pro"ess "onstraints

    Ma"'ine tie% et"*

    Po$i") "onstraints No o(ertie% et"*

    E9terna$

    Materia$"onstraints Ins!-"ient

    ateria$s

    Mar1et "onstraints Ins!-"ient &ean&

    * I&entif) t'e s)ste "onstraints

    Ho+ is a "onstraint i&enti/e&

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    B

    Steps in t'e TOC Pro"ess

    8* ,e"i&e 'o+ to e9p$oit t'e "onstraint Pro&!"e t'e ost pro/ta#$e pro&!"t i9

    4ant it +or1ing at Ho+ !"' of a #!6er

    Ho$&ing "osts In"$!&ing ris1% 2!a$it) "osts

    Sto"1o!t "osts

    * S!#or&inate e(er)t'ing e$se to t'e pre"e&ing

    &e"ision P$an pro&!"tion to 1eep "onstraint +or1ing at

    Ma) nee& to "'ange perforan"e eas!res to"onfor !pstrea a"ti(ities to t'e rope spee&

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    B

    Steps in t'e TOC Pro"ess

    Produt : Produt 1$emand per month :*... ;..Prie per unit ..=Material o%t per unit ?..= ..=

    Te%t omponent% .21> .2?.A%%emble omponent% :2.. :2>.)n%tall eletroni% .2>. .2>.Final in%petion and te%t :21> :2..Paka4e and %hip .2:. .2:.

    )denti(y the on%traint

    Produt : Produt 1 Total

    ,our%available

    per month#lakhour%

    Te%t omponent% 1>. 1?. ?.A%%emble omponent% :... . ;.. :>. :;. !

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    B?

    Steps in t'e TOC Pro"ess

    )denti(y the be%t u%e o( the on%traint

    Prie per unit =..Material o%t per unit =?.. =..Throu4hput per unit =>.. =..Con%taint time per unit :21> :2..

    Throu4hput per hour =?.. =..

    )denti(y the mo%t pro(itable produt miD

    Total demand :*... ;..nit% produed in be%t miD

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    B:

    Steps in t'e TOC Pro"ess

    * A$$e(iate t'e "onstraint ,eterine 'o+ to in"rease its "apa"it)

    @* Repeat t'e pro"ess A$+a)s a ne+ "onstraint

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    BA

    E(a$!ation of TOC

    ,isa&(antages Negati(e ipa"t on non"onstraine& areas

    ,i(erts attention fro ot'er areas t'at a) #e

    t'e ne9t "onstraintTeptation to re&!"e "apa"it)

    Ignores $ongr!n "onsi&erations Intro&!"tion of ne+ pro&!"ts

    Contin!o!s ipro(eent in non"onstraine&areas

    Ma) $ea& organi?ation a+a) fro strateg)