Industrial Organisation Class Notes uOttawa MCG 5171B

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    EMP5103 Lecture 1 Thursday, January 10, 2013

    EMP 5103 Reliability, Quality and Safety Engineering

    Dhillon, B, Reliaility, !uality and "a#ety #or En$ineers, %R% Press, Boca Raton, &lorida, 200'

    Marks

    Re(ort 30) Mar 2*

    Mid Ter+ 30) &e 2*&inal Ea+ '0) -(r '

    Report Format

    Title

    "u++ary, it is not an introduction to the re(ort. /hat is the +ain hi$hli$ht o# the

    docu+ent /hat is contained in the re(ort

    1. ntroduction #a+iliarie reader on to(ic sections.

    2. Main Body 2.1, 2.2, etc3. %onclusions 4 #uture research and studies.

    '. Re#erences

    Boos

    1. 6or+an, D, 7u+an Reliaility, Pro$ra+ Press, 8e9 :or, 1;*, -?ailale #ro+

    the De(art+ent o# Mechanical En$ineerin$, @ni?ersity o# Atta9a, Antario,

    %anada.

    1

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    EMP5103 Lecture 1 Thursday, January 10, 2013

    Course Outline1. Reliaility ac$round and introductory +athe+atics.

    2. &ailure data collection and "ources3. "tatic Reliaility E?aluation Models

    "eries syste+

    Parallel syste+

    4out4n syste+,

    series4(arallel syste+,

    (arallel4series syste+

    '. Dyna+ic Reliaility E?aluation Models

    E(onential distriution

    /eiull distriution

    "eries, Parallel.

    4out4n,

    series4(arallel,

    (arallel4series,

    "tandy

    5. Redundancy4 Related To(ics. Reliaility and Maintainaility Mana$e+ent

    *. "a#ety Mana$e+ent;. Root Reliaility and "a#ety

    10. !uality Mana$e+ent

    11. !uality %ontrol %harts

    1. Reliability Background and Introductory mathematics

    Reliability Definition

    Reliaility is the (roaility that an ite+ 9ill (er#or+ its #unction adeCuately #or the desired (eriod

    o# ti+e 9hen o(erated accordin$ to s(eci#ied conditions.

    History of Reliability Po9er syste+ (role+s 1;30sF

    /orld /ar =1 and =2 rocetsF

    @.". De(art+ent o# De#ense 1;'541;50F

    -d?isory 6rou( on the Reliaility o# Electronic ECui(+ent -6REEFG1;50

    -6REE re(ort 1;5>F it too -6REE > years to re(ort on the reliailityF

    2

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    2000 hrs

    1000 hrs 1000 hrs

    EMP5103 Lecture 1 Thursday, January 10, 2013

    History of Quality Control

    %.8. &raeo o# Tele(hone Laoratories +ade use o# statistical +ethods in ins(ection

    (role+sG1;1 0 , and 0 & 1 t 0

    nd ' = 0*+ and b = 1 to et t-e #-a!e abo.e for t-e bat-tubb= 0*+ / bat-tub 'ur.e

    b=1 / xtree .a$ue di#tribution

    b,' = #-a!e !araeter#

    , = #'a$e !araeter#t = tie

    Mean $i"e $o #ailure -M$$#.:

    FDli+

    FD

    FDFD

    0

    0

    0

    #R233F

    dttR233F

    dtttf233Ft0

    #

    =

    =

    ==

    E(ponential 'istribution:

    *

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    /arranty %lai+s

    Product #ailurerelated data

    6eneral data(roduct relatedF

    EMP5103 Lecture 1 Thursday, January 10, 2013

    11li+

    1FD

    1

    FD

    1FD

    1FD

    FD

    0

    0

    0

    =+

    =

    +=

    ===

    =

    ===

    =

    #233F

    ##R

    dte233F

    etR

    etF

    dtet233Ft0

    etf

    #

    t

    t

    t

    t

    t

    / #ailure 'ata ollection and Sources

    2.1 Purposes of Collecting Failure Data

    1. To calculate haard rate #ailure rateF o# an ite+.

    2. To +ae decisions re$ardin$ the introduction o# a redundant ite+.

    3. To (er#or+ trade4o## studies cost4reliaility studiesF.

    '. To conduct the ite+s re(lace+ent studies.5. To (er#or+ (re?enti?e +aintenance studies o# the ite+.

    . To deter+ine the +aintenance needs o# a ne9 ite+.*. To (er#or+ li#e cycle cost studies.

    ;. To (redict the reliaility and the a?ailaility o# the ite+.

    10. To reco++end desi$n chan$es #or i+(ro?in$ the ite+s reliaility.11. Etc

    2.2 Data Collection Sources

    1. Past e(erience 9ith si+ilar or identical +aterial.

    2. ns(ection data (roduced y Cuality control and +anu#acturin$ $rou(s.3. &ailure re(ortin$ syste+ de?elo(ed and used y custo+ers.

    '. Re(orts $enerated y the re(air #acility.

    5. Data otained durin$ the readoard or the de?elo(+ent o# the ite+.

    . &actory acce(tance testin$ o# eCui(+ent, +odules, and asse+lies.

    *. /arranty clai+sK

    ;

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    EMP5103 Lecture 1 Thursday, January 10, 2013

    6eneral DataK

    o "erial nu+er and identi#ication o# +odel

    o "tartin$ date o# the 9arranty

    o Date o# (roductiono 8a+e o# the (roducin$ (lant

    Product &ailure Related DataK

    o &ailed (art

    o &ailureK date, ty(e, and se?erity

    o %ost o# re(air

    o /arranty co?era$e ty(e

    o -$e o# the (roduct at #ailure

    o Etc

    oern"ent 2ndustry 'ata E(c!ange Progra" -2'EP.Typical Deficiencies in Failure Data Sources:

    1. Non-standardized data reporting.

    2. Poor description of the item in question.3. Time-consuming data feedback.

    4. Lack of accurac in repair times required for man parts.

    !. "nconsistent and #ague definitions and terms on reporting forms.$. %ifficu&t in pinpointing the cause of fai&ure.

    '. (o#ernment securit of compan proprietar c&assification of the data.). *tc+

    Failure Data Forms:

    1. %escription of the item in question.

    2. Location of the hard,are.3. orm number.

    4. eria& number of the fai&ed part.!. Name of the manufacturer.

    $. ai&ure description.'. %ate the fai&ure occurred.

    ). %ate the fai&ure ,as detected./. %ate the fai&ure ,as corrected.

    10. orm comp&etion date.11.eria& number of the rep&aced part.

    12.anufacturer of the rep&aced part.13. Time taken for repair.

    14.perating hours from pre#ious fai&ure.1!.ost of repair.

    1$.Name of the repairperson.

    1'.ignatures.1).*tc+

    See pp. 22 and 23.

    10

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    EMP5103 Lecture 1 Thursday, January 10, 2013

    MIL-HDB-2!": #ery important document t$at includes mat$ematical formulas

    %failure rates&'. Best source for relia(ility %pp 23'.

    Data Sources Information Documents:

    1. %hi&&on 5. echanica& 6e&iabi&it 7merican "nstitute of 7eronautics and 7stronautics8ashington %.. 1/)). Lists o#er !! data sources.

    2. %hi&&on 5. 9uman 6e&iabi&it ,ith 9uman actors Pergamon Press Ne, :ork 1/)$.

    Lists 24 human re&iabi&it re&ated data sources.

    3. %hi&&on 5. 6obot 6e&iabi&it and afet pringer-;er&ag Ne, :ork 1//1. List o#er !!data sources.

    4. %hi&&on 5. Life c&e osting (ordon and 5reach cience Pub&isher. Lists o#er 20 data

    sources.

    See pp. 2).

    MIL-HDB-2!":

    *s constant

    ea= acti#ation energ

    C= constant

    ...e5b FF=

    Fq= the factor ,hich takes into consideration the part qua&it &e#e&

    Fe= the factor ,hich takes into consideration the inf&uence of en#ironment

    ' onstant fai&ure rate

    *

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    EMP5103 Lecture 1 Thursday, January 10, 2013

    Failure ,ate #aluation of uipment:

    =

    =&

    6

    65,6t F51

    FD

    kC the number of different generic part c&assificationsqjC the Ethgeneric part quantit

    FqC the Ethgeneric part qua&it factor

    , C the constant fai&ure rate of the Eth component

    3. Static ,elia(ility #aluation Models:

    Series /onfi0uration:

    Ei= uccessfu& e#ent i

    =

    ==

    ==

    &

    i

    i&S

    ii

    &&

    RRRRRR

    0PR7et

    0P0P0P0000P

    1

    321

    21321

    ...

    FDK

    FDF...DFDF...D

    *2.0;.0*.0 ==SR

    ==

    >&

    i

    iS

    i

    FR

    R8FF

    1

    1

    ;5.0

    @non-identica& unitsB

    8here Fiis the fai&ure probabi&it of unit i.

    or identica& units=

    &FRS = 1

    1 2 3

    E1

    E2

    E3

    E

    1 2

    R2I0.;R

    1I0.*

    12

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    EMP5103 Lecture 1 Thursday, January 10, 2013

    1arallel /onfi0uration:

    =

    =

    =

    =

    =

    ==

    1

    1

    321321

    1

    FDK

    FDF...DFDFDF...D

    i

    i!

    i

    i!

    ii

    !

    FR

    FF

    0PF7et

    0P0P0P0P0000PF

    @for non-identica& unitsB

    or identica& units=

    FR! = 1

    *

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    EMP5103 Lecture 1 Thursday, January 10, 2013

    FR

    FFFFR

    !

    !

    =

    ===

    1

    ;;>

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    EMP5103 Lecture 1 Thursday, January 10, 2013

    not mentioned

    -out-of--unit System:

    R(

    &

    1

    0.;0

    0.*0

    0.>0

    0.5 0.< 0.> 0.* 0.; 1

    I 1

    I 2

    I 3

    I '

    1

    2

    15

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    "to( here

    EMP5103 Lecture 1 Thursday, January 10, 2013

    ( )

    ( )

    RFRRRR

    FRFFRRFR

    FR

    iii

    9-ere

    RRi

    R

    i

    n

    i

    i

    &i

    ii

    &

    =+=

    =+++=+

    =+

    =

    =

    =

    =

    1F.....1D3

    133

    1FD

    FRDR

    R

    1

    23

    32

    32233

    1

    @identica& unitsB

    32233

    32

    3

    3

    33FD

    FSFD1D1

    FSD

    FRFFRRFR

    RR

    #:#te1Para$$e$RR

    #:#te1Serie#RR

    &

    !

    S

    +++=+

    =

    =

    =

    "yste+

    Reliaility

    1

    0.*0

    0.

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    EMP5103 Lecture 1 Thursday, January 10, 2013

    +ample:

    - (arallel syste+ is co+(osed o# three inde(endent and acti?e units. -t least t9o units +ust e

    #unctionin$ success#ully #or syste+ success. The reliaility o# units 1, 2 and 3 is 0.*, 0.; and 0.>res(ecti?ely. %alculate the syste+s reliaility.

    R1 &1FR2 &2FR3 &3F I 1

    RiK is the units reliaility #or iI 1, 2, 3&iK is the units unreliaility #or iI 1, 2, 3

    R1R2R3 R1R2&3 R1R3&2 R2R3&1 R1&2&3 R2&1&3 R3&1&2 &1&2&3I 1

    R2H3 I R1R2R3 R1R2&3 R1R3&2 R2R3&1I R1R2R3 R1R214R3F R1R314R2F R2R314

    R1F I 0.*0.;0.>0.*0.>140.;F..

    SeriesParallel configuration:

    "yste+

    Reliaility

    1

    0.*0

    0.

    R I 0.5

    1>

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    EMP5103 Lecture 1 Thursday, January 10, 2013

    =

    =r

    i

    6i!6 FR1

    1&iK is the

    th susyste+, ithunits unreliaility

    = ==

    ==&

    6

    r

    i

    6i

    &

    6

    !6#! FRR1 11

    F1D

    &or identical unitsK

    [ ]

    &r

    #! FR =1

    Ea+(leK

    - syste+ is co+(osed o# t9o inde(endent, identical and acti?e susyste+s. Each susyste+ consistso# t9o identical units in (arallel. The units #ailure (roaility is 0.2. calculate the syste+s

    reliaility.

    & I 0.2 and r I 2 and I 2

    [ ] [ ] ;21

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    EMP5103 Lecture 1 Thursday, January 10, 2013

    ( )

    = ==

    =

    ==

    =

    r

    6

    &

    i

    6i

    r

    6

    #6!#

    &

    i

    6i#6

    RRR

    RR

    1 11

    1

    1111

    &or identical unitsK

    ( ) r&!# RR = 11 9here R is the units reliailityEa+(leK

    Rs(

    1

    0.*0

    0.

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    EMP5103 Lecture 1 Thursday, January 10, 2013

    I r I 2, & I 0.2

    ( ) ( ) *>0'.0*.01111 22 === r&!# RR ( )r&

    !# RR = 11

    1. Dyna+ic Reliaility E?aluation Models.

    1.1.6eneral Reliaility &unction

    ( )

    =

    tdxx

    etR 0FD

    tK is ti+e and is units hazard rate or the instantaneous failure rate

    =

    ==

    tt

    tdRtR

    dtt

    dt

    tdR

    tRtR

    tft

    00

    FDFD

    1FD

    FD

    FD

    1

    FD

    FDFD

    FD1FD

    1FDFD

    FDFD

    FDFD

    0

    tFtR

    tFtR

    tfdt

    tdF

    dttftF

    t

    =

    =+

    =

    =

    t t=0; R(0) = 1

    0.2

    0.2

    0.2

    0.2

    R(s

    1

    0.*0

    0.

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    EMP5103 Lecture 1 Thursday, January 10, 2013

    ( )

    =

    ==

    =

    t

    dtt

    t

    tRt

    etR

    tRt

    tdRtR

    dtt

    0

    FD

    0

    FD

    10

    FD

    FDlnFD

    FDFD

    1FD

    Ea+(leK

    tdt

    eetR

    t

    t

    =

    =

    =

    0FD

    FD

    1.2.Mean Ti+e To &ailure MTT&F

    FDli+S,

    FDFDS,

    FDli+FDli+

    KS

    FDFDSS

    FDli+

    KSSS

    FDli+

    FD

    0

    0

    0

    0

    0

    0

    #R233F3-en

    #

    #R#fbut

    #f#tf

    tran#for17a!$a'e

    dttRtf%-ere

    dttR233F

    re1e1berto-a.edont

    #R233F

    dttR233F

    #

    #t

    t

    t

    t

    #

    =

    =

    =

    =

    =

    =

    =

    Ea+(leK

    21

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    EMP5103 Lecture 1 Thursday, January 10, 2013

    ( )

    ( )

    =

    ==

    =

    =

    =

    =

    0

    1

    1

    0

    1

    11

    FD

    1

    1

    1

    FD

    K

    SK

    SK

    K

    FDFD

    0

    1

    0

    dtet

    &

    &dte233F

    eeetR

    ti1et

    !ara1eter#'a$e

    !ara1eter#-a!e&

    9-ere

    t&t

    t

    &

    t

    tdt&tdtt

    &

    &

    &

    t&

    t

    Ea+(leK

    >0'>.0F50D

    50

    H00>.0

    K

    1

    1

    F50FD00>.0D ==

    ==

    =

    =

    eR

    -our#t

    -ourfai$ure

    9-ere

    &

    Series configuration:

    &or ,

    =

    ===

    &

    i

    t&

    i

    #ietRtR

    1

    1

    1

    FDFD as 9e ha?eK tdtdtt eeetR

    tt

    10 10

    11

    FDFD

    ===

    =

    =

    ==

    =

    =

    = &i

    i

    t&

    i

    t

    ## dtedtedttR233F

    &

    i ii

    1

    0

    1

    0 1

    1

    01

    1FD 1

    11

    1

    =

    22

    1

    =

    33

    1

    =

    &&

    1=

    22

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    EMP5103 Lecture 1 Thursday, January 10, 2013

    ==

    &

    ii

    # tR1

    11FD

    t #or

    i

    1t F U 0.05

    %a&ard rate:

    =

    =

    =

    =

    =

    ==

    =

    =

    &

    i

    i#

    t

    t

    &

    i

    i

    #

    i

    i

    #

    ##

    ##

    &

    i

    i

    &

    i

    i

    e

    e

    t

    $et

    dt

    tdR

    tRtR

    tft

    1

    1 FDFD

    1K

    FD

    FD

    1

    FD

    FDFD

    1

    1

    05.01

    KSK1

    1FD

    FD

    1

    1

    1

    =

    =

    =

    tfortruettR

    etR

    i

    &

    i i

    #

    &

    i

    ti

    Series Syste" ononstant #ailure Rate:

    tt 666 +=FD

    V1

    V2

    V3

    V

    1 2 3

    23

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    EMP5103 Lecture 1 Thursday, January 10, 2013

    ( )

    ( )

    [ ] [ ]

    ===

    =

    =

    =

    +

    +=

    ++=

    =

    =

    =

    =

    +

    +

    =

    =

    +

    =

    =

    +

    ++

    =

    ++

    &

    6

    i

    6

    6

    66

    t

    t

    tot#

    tot

    &

    6

    itot

    &

    6

    itot

    tottot

    tot#

    &

    6

    &

    6

    6

    6#

    t

    t&

    i

    #

    tt

    6

    dtt

    ettR

    ,a11at

    $et

    tR

    t

    ttR

    etR

    etR

    etR

    1

    1

    1

    0

    e(e(FD

    K

    K

    1e(FD

    1e(FD

    FD

    FD

    FD

    1

    1

    1

    1

    1

    1

    1

    1

    1

    FD

    Mean $i"e $o #ailure for 6arious Si"ple 7nit and Series Syste"s:

    Syste" Structure M$$#

    1

    &2

    11

    1

    1F1D

    1

    1+

    ++

    +

    1

    1

    &1

    1

    =

    n

    i11

    1

    WtFIV

    WtFI#

    WtFI#+

    W1IV

    1W

    2IV

    2W

    3IV

    3

    2'

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    EMP5103 Lecture 1 Thursday, January 10, 2013

    1

    11

    11

    1F1D

    1

    1

    +

    =

    ++

    +

    1n

    i

    1

    &

    11

    Parallel et8or4:

    ( )

    =

    =

    =

    =

    =

    =

    1

    1

    1

    1FD

    K05.0K

    11FD

    FD

    FD1FD

    ii!

    i

    i

    t!

    ti

    ii!

    ttR

    tfor

    etR

    etR

    tFtR

    i

    i

    &or identical units

    ( )-our#fai$ure#

    etR t

    !

    H005.0

    11FD

    =

    =

    E$K V I 0.005 #ailuresHhr t I 100 hours

    *'5.011F100D F100FD005.0D == eR!2 redundancy can e the est increasin$.

    F1D1FD

    t! etR

    =

    1t&

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    EMP5103 Lecture 1 Thursday, January 10, 2013

    Mean $i"e $o #ailure -M$$#.:

    =0

    FD dttR233F

    R(tF

    1

    0.*0

    0.

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    EMP5103 Lecture 1 Thursday, January 10, 2013

    ( )

    [ ]

    ( )

    ( )

    2121

    0

    2121

    0

    FD

    FD

    111

    FD

    111FD

    2121

    2121

    2121

    21

    ++=

    ++

    +

    =

    +=

    +=

    =

    +

    +

    +

    ttt

    ttt!

    ttt!

    tt!

    eee

    dteee233F

    eeetR

    eetR

    ( )( )

    +

    =

    +++

    +=

    +++

    0

    1

    2121

    1

    FD

    1111

    1

    1

    11

    11

    11

    dtet

    &&&&1

    1233F

    t

    1

    1

    111

    Reliability and M$$# #unctions for 6arious Actie onfigurations for E(ponentially

    'istributed #ailure $i"es 9 2dentical o"ponents:

    Reliaility %on#i$uration

    V1

    V2

    1t+

    2t+

    2>

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    EMP5103 Lecture 1 Thursday, January 10, 2013

    n233F

    1=

    =

    =1

    i i

    233F1

    11

    = =

    +

    =

    n

    6

    61

    i

    6

    i6

    n233F

    1 1

    1 1F1D1

    1 2 3 n

    V V V V

    V

    V

    V1

    2

    +

    V

    V

    V1

    2

    +

    V

    V

    V1

    2

    +

    V

    V

    V1

    2

    +

    1 / n

    2*

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    EMP5103 Lecture 1 Thursday, January 10, 2013

    12

    11=233F

    =

    =1

    i in

    233F

    1

    11

    =

    =1

    &i

    233F

    1ofout&

    1

    11

    SSS

    Syste" Reliability Plots for 6arious onfigurations:

    1

    2

    +

    1 / n

    V

    V

    V1

    2

    +

    V

    2;

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    EMP5103 Lecture 1 Thursday, January 10, 2013

    Standby Syste":

    -ssu+(tionsK1;. s9itch (er#ectX

    20. standy units re+ain as $ood as ne9

    21. unit #ailures are inde(endent22. identical units

    =

    ==

    =

    0

    1

    0

    FD

    R

    FDFD

    &dttR233F

    6

    tetR

    #

    &

    6

    tt

    #

    Appro(i"ate Reliability Euations for 4outofn type of Syste"s 9 2dentical o"ponents:

    Reliaility

    1

    0.*0

    0.

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    EMP5103 Lecture 1 Thursday, January 10, 2013

    Situation #or"ula R-t. Appro(i"ation R-t.

    1 unit o# 2 +ust

    e 9orin$ #orsuccess

    tt ee 22 ( ) 21 t

    1 unit o# 3 +uste 9orin$ #or

    success

    ttt eee 3233 + ( ) 31 t

    1 unit o# ' +ust

    e 9orin$ #or

    success

    tttt eeee '32 '

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    EMP5103 Lecture 1 Thursday, January 10, 2013

    &ault Tree "y+olsK

    A' ate:

    The -8D $ate denotes that an out(ut e?ent occurs i# and only i# all the in(ut e?ents occur.

    ;R ate:

    The AR $ate denotes that an out(ut e?ent occurs i# any one or +ore o# the in(ut e?ents occur.

    Resultant eent:

    - rectan$le denotes an e?ent 9hich results #ro+ the co+ination o# #ault e?ents throu$h the in(ut o#

    a lo$ic $ate.

    +asic fault eent:

    out(ut

    in(uts

    out(ut

    in(uts

    32

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    EMP5103 Lecture 1 Thursday, January 10, 2013

    - circle re(resents a asic #ault e?ent or the #ailure o# an ele+entary co+(onent. The #ailure

    (ara+eters such as una?ailaility (roaility, #ailure and re(air rates o# a #ault e?ent are otained

    #ro+ the e+(irical data or other sources.

    Ea+(leK

    Build the constant a #ault tree o# a si+(le syste+ concernin$ a roo+ containin$ a s9itch and a li$htul. -ssu+e the s9itch only #ails to close. n addition, the to( e?ent is dar roo+.

    ( )

    =

    =

    ++++

    =++++

    +=+

    n

    iin

    n

    iin

    XPXXXXP

    XPXXXXP

    BP)PBP)PB)P

    1321

    1321

    FDF...D

    FD11F...D

    FDFDFDFDFD

    FDFDF.D BP)PB)P =

    Ea+(leK

    Dar Roo+

    "9itch #ails

    to close

    Po9er o## Bul urnt

    out

    &use #ailurePo9er#ailure

    out(ut

    in(uts

    33

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    EMP5103 Lecture 1 Thursday, January 10, 2013

    1 2

    3 '

    >

    *

    5 1

    3.1.Reliaility De?elo(+ent and De+onstration Testin$

    The oecti?es o# reliaility and de+onstration tests areK1. To deter+ine i# the desi$n +ust e i+(ro?ed to +eet the reliaility reCuire+ent

    2. To indicate any desi$n chan$es needed

    3. To ?eri#y i+(ro?e+ents in desi$n reliaility

    3.2.!uali#ication and -cce(tance Testin$

    The oecti?es o# Cuali#ication and acce(tance tests areK1. To deter+ine i# a (art, asse+ly, or an end ite+ should e acce(ted or reected either on an

    indi?idual or lot asisF2. To deter+ine i# a (articular desi$n should e considered as Cuali#ied #or its intended

    a((lication

    3.3.A(erational Testin$

    perational Testin0:

    '0

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    EMP5103 Lecture 1 Thursday, January 10, 2013

    The obEecti#es of operationa& testing=

    To #erif the re&iabi&it ana&sis performed during the proEect.

    To pro#ide data indicating necessar modifications of operationa& procedures and

    po&icies as the affect re&iabi&it and maintainabi&it.

    To pro#ide information to be used in &ater acti#ities.

    Tests for t$e alidity of 4ssumed Failure Time Distri(utions:

    5art&ett test @e

    ln

    12

    ,here it is the ithtime to fai&ure and & is the tota& number of fai&ures in the samp&e.

    7 samp&e of at &east 20 fai&ures is necessar for the test to discriminate effecti#e&. "f the fai&ure

    times are e

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    EMP5103 Lecture 1 Thursday, January 10, 2013

    20 4! 111 1)!

    1/ $3 112 2$$

    34 $4 141 2$'

    Ta(le !

    ( )

    ( ) '3.1'

    1F20FD>D

    20

    *311.*2F10.;

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    EMP5103 Lecture 1 Thursday, January 10, 2013

    To estimate confidence inter#a&s there are t,o cases to consider= @1B the test is terminated at a

    specified time Mt and @2B the test is terminated at a specified number of fai&ures.

    Test Terminated at Time6 Mt :

    ( )

    +

    f!

    f!

    2,2

    1

    2,

    22,2

    2

    22

    Test Terminated at Specified Failures6 Mf :

    f!

    f!

    2,2

    1

    2,

    2,2

    2

    22

    The tpe of test determines the #a&ue of for e mean time bet,een fai&ures and mean &ife upper and &o,er confidence &imits ,ith

    /0G confidence &e#e&.ai&ed repaired back to its as good as ne, state=

    1*

    1500

    hours1500F100FD15D

    =====

    ==

    ==

    f

    !

    '3

    lo9erli+it

    u((erli+it

    lo9er

    li+it

    u((er

    li+it

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    EMP5103 Lecture 1 Thursday, January 10, 2013

    Hpper &imit= [ ] hours;.3> )./1 10.12 30.14 32.)!

    2= /.!/ 10.)! 31.41 34.1'

    2! 12.40 13.)! 3$.42 3/.3$

    Handout 2: Ta(le ".! < /$i-Suare Distri(ution

    De0reesof

    Freedom

    1ro(a(ility

    =.>"? =.>? =.>= =.=? =.=2? =.=!

    2 0.0! 0.10 0.21 !.// '.3) /.21

    ; 0.4) 0.'1 1.0$ /.4! 11.14 13.2)

    @ 1.24 1.$4 2.20 12.!/ 14.4! 1$.)1

    ) 2.1) 2.'3 3.4/ 1!.!1 1'.!3 20.0/!= 3.2! 3./4 4.)' 1).31 20.4) 23.21

    !2 4.40 !.23 $.30 21.03 23.34 2$.22

    !; !.$3 $.!' '.'/ 23.$/ 2$.12 2/.14

    !@ $./1 './$ /.31 2$.30 2).)! 32.00

    !) ).23 /.3/ 10.)' 2).)' 31.!3 34.)1

    2= /.!/ 10.)! 12.44 31.41 34.1' 3'.!'

    ". ,elia(ility and Maintaina(ility Mana0ement

    1. %hi&&on 5. *ngineering 6e&iabi&it anagement "*** Aourna& on e&ected 7reas inommunications ;o&. 4 1/)$ pp. 101!-102!.

    2. %hi&&on 5. 6eiche 9. 6e&iabi&it M aintainabi&it anagement ;ari Nostrand 6einho&dNe, :ork 1/)!.

    History:

    1/!) D H7 D 6e&iabi&it Program anagement %ocument *

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    EMP5103 Lecture 1 Thursday, January 10, 2013

    8estinghouse *&ectric orporation.

    7ppoint a manager to &ook after re&iabi&it.

    %irect the manager to re#ie, present effort.

    *stab&ish a high &e#e& re&iabi&it pane& composed of sa qua&it contro& engineering

    purchasing and manufacturing managers.

    %efine the pane&>s responsibi&ities D ha#e it report to top management.

    *stab&ish an o#era&& re&iabi&it and maintainabi&it po&ic of the compan. Pro#ide training to peop&e in re&iabi&it.

    et re&iabi&it goa&s and refine them as necessar.

    %esign products that are re&iab&e.

    onduct #erification ana&sis of product re&iabi&it.

    Produce the products that are re&iab&e.

    7udit re&iabi&it program on regu&ar basis.

    ake use of ser#ices pro#ided b the centra& re&iabi&it staff.

    ,elia(ility n0ineerin0 Department ,esponsi(ilities:

    *stab&ishing re&iabi&it po&ic p&an and procedures.

    6e&iabi&it a&&ocation.

    6e&iabi&it prediction @"L-9%5F-21'B.

    pecification and design re#ie,s ,ith respect to re&iabi&it.

    6e&iabi&it gro,th monitoring.

    Pro#iding re&iabi&it re&ated inputs to design specification and proposa&s.

    6e&iabi&it demonstration @"L-T%-4'1B.

    Training re&iabi&it manpo,er and performing re&iabi&it-re&ated research and

    de#e&opment ,ork.

    onitoring subcontractors> if an re&iabi&it acti#ities.

    7uditing the re&iabi&it acti#ities.

    ai&ure data co&&ection and reporting.

    ai&ure data ana&sis.

    onsu&ting.

    *tc+

    TasAs of a ,elia(ility n0ineer:

    To be continued ne

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    EMP5103 Lecture 1 Thursday, January 10, 2013

    3).*tc+

    ,elia(ility /ost /ate0ories:

    6e&iabi&it cost C P 7 " *P= Pre#ention ost

    7= 7ppraisa& ost"= "nterna& ai&ure ost

    *= *s cost.4'.pare parts in#entor.

    4).*tc+

    +ternal Failure /ost:4/.ost to fai&ure or repair.

    !0.6ep&aced parts cost.

    !1.ost of fai&ure ana&sis.!2.8arrant administration and reporting cost.!3. Liabi&it insurance.

    !4.*tc+

    ,elia(ility 1ro0ram /ost stimation:

    ,4M %,elia(ility and Maintaina(ility' 1ro0ram 1lan %in man $ours':C 2.'3 @NTB2

    8here NT C number of "L-T%-')! tasks required.

    in D 4

    a< D 22

    ,elia(ility Modelin0 and 4llocation:

    C 4.0! @7B2@N;B8here=

    7= ode&&ing and 7&&ocation omp&e

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    EMP5103 Lecture 1 Thursday, January 10, 2013

    in D 'a< D 44!

    ,elia(ility 1rediction:

    C 4.!4@L%B2@6B2@PB8here=

    L%= Le#e& of detai&1 D Prediction e

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    EMP5103 Lecture 1 Thursday, January 10, 2013

    Safety 1eriodicals:$). Aourna& of ccupationa& 7ccident

    $/.Professiona& afet'0.oncern

    '1. Aourna& of afet 6esearch'2.Protection

    '3.Nationa& afet Ne,s'4.Nuc&ear afet

    '!.7ccident Pre#ention'$.7ccident acts

    ''.afet anagement Aourna&').*tc+

    Selecti#e Te+ts on Safety:1. 9einrich 9.8. "ndustria& 7ccident Pre#ention c(ra, 9i&& Ne, :ork 1)312. 9and&e "ndustria& afet 9andbook c(ra, 9i&& Ne, :ork 1/$/

    3. (&oss %. "ntroduction to afet *ngineering 8i&e Ne, :ork 1//4

    4. 9ammer 8. Product afet and *ngineering Prentice 9a&& Ne, Aerse 1/)0!. %hi&&on 5. afet 7ssessment 7 Juantitati#e 7pproach Le,is Pub&ish Ne, :ork.

    1//4

    Safety-,elated Data Sources:

    '/.(o#ernment "ndustr %ata *

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    EMP5103 Lecture 1 Thursday, January 10, 2013

    System Safety 4nalysis Met$ods:101. au&t tree ana&sis.

    102. ai&ure ode and *ffect 7na&sis @*7B.103. *#ent tree ana&sis.

    104. Aob safet ana&sis.10!. ing&e point fai&ure ana&sis.

    10$. *tc+

    Fault tree analysis in Safety Studies:

    %hi( in eye 6rindin$F

    Person 9ithout sa#ety $lasses other thano(erator s close to o(eration

    A(erator #ailsto 9ear sa#ety

    $lasses

    Peo(le in thearea +oti?e to

    $o into area y

    non o(eratorF

    Machineo(eratin$

    "a#ety $lassesnot 9orn

    A(erator

    #ails to

    sto(oeration

    52

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    EMP5103 Lecture 1 Thursday, January 10, 2013

    Formulas C Models ,elated to Safety:10'. 7merican Nationa& tandard "nstitute @7N"B Q-1$01 1/)!. Tit&e= ethod of

    6ecording and 8ork "nEur *

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    EMP5103 Lecture 1 Thursday, January 10, 2013

    %"6 C %isab&ing "nEur e#erit 6ate% C Tota& number of das charged

    S$ortcomin0s:

    10). Not sensiti#e enough to ser#e to ser#e as accurate indicator of safeteffecti#eness.

    10/. The sma&&er the ,ork force the &ess re&iab&e the frequenc rate se#erit rate.110. an accidents particu&ar& the &ess se#ere ones are ne#er reported.

    111. *tc+

    >. ,o(ot ,elia(ility and Safety

    112. !000 D *gptians bui&t ,ater-po,ered c&ocks. hinese and (reeks bui&t ,ater and

    steam po,ered tos.113. 7ristot&e= K"f e#er instrument cou&d accomp&ish its o,n ,ork obeing or

    anticipating the ,i&& of others+114. 1)1) D an he&&e ,rote the science fiction Krankenstein Kachine onster

    11!. 1/20 D Far& apek ,rote the science fiction K6ossums Hni#ersa& 6obots.11$. 1/42 D 7simo# D 3 &a,s=

    o 7 robot ma not inEure a person nor through inaction a&&o, a person to come to

    harm.

    o 7 robot must a&,as obe orders from peop&e e

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    EMP5103 Lecture 1 Thursday, January 10, 2013

    13$. Te

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    EMP5103 Lecture 1 Thursday, January 10, 2013

    1$3. eta& ,orking @1$ accidentsB1$4. thers @3 accidentsB

    7.. 4ccidents:

    1$!. 2$23 robots1$$. ur#e 3' robot sstems different designs

    1$'. 7ppro

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    EMP5103 Lecture 1 Thursday, January 10, 2013

    Some Solutions to Safety-,elated 1ro(lems:4 "mpro#ing robot re&iabi&it.

    4 "mpro#ing design of mechanica& hard,are components.

    4 Pro#iding appropriate safet training to peop&e concerned ,ith maintenance operation

    and testing.

    4 %e#e&oping an effecti#e sensor detection capabi&it of the robots.

    4 Paing proper attention to human factors during the design of human ,orkstation&aout.

    4 Paing more attention to human factor during the design of the robot sstems.

    4 *tc+

    ,o(ot ,elia(ility:

    4 *

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    EMP5103 Lecture 1 Thursday, January 10, 2013

    =RP

    >3>3RPPAR23RP

    =

    P96 is the production hours of the robot.

    N6P is the number of robot-re&ated prob&ems.%T%T6P is the do,ntime due to robot-re&ated prob&ems e

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    EMP5103 Lecture 1 Thursday, January 10, 2013

    !!ffo!fo

    !!ffo!foo

    t

    !!ffo!foo

    tPtPtP

    dt

    tdP

    tPtPtPt

    tPttP

    ttPttPttPtPttP

    FDFDFDFDFD

    FDFDFDFDFDFD

    li+

    FDFDFDFDFDFD

    0

    +++=

    +++=

    +

    +++=+

    0F0DF0D,1F0D,0SS

    FDFDFD

    FDFDFD

    ====

    =+

    =+

    f!o

    fofff

    !o!!!

    PPPtti1e)t

    tPtPdt

    tdP

    tPtPdt

    tdP

    =0

    FDFD

    KS

    dtt!e#!

    tran#for17a!$a'e

    #t

    FDt! FD#!

    at

    e

    a#+1

    dt

    td! FD F0DFD !##!

    ina& #a&ue Theorem= FDli+FDli+00

    ##ftf#t

    =

    [ ][ ]

    BP

    BP

    B

    ##PP)

    #)

    ##P

    #)

    ##P

    ##)

    ###

    ###P

    #P#P#P##P

    #P#P#P#P##P

    f!f

    !ff

    !ff!!f

    !ff!!f

    !fo

    #o##

    f!f

    !f!

    !ff!!ff!!f

    !ff!!ff!!f

    !f

    o

    ff!!o!fo

    ff!!o!foo

    =

    =

    ++=

    ++===

    +=

    +=

    +++++++=

    +++++++

    ++=

    +=++

    +=++

    FDli+

    FDFD

    FDFD

    FD

    FD

    FFDDFD

    FDFDFDFD1FD

    FDFDFDFDFDFD

    0

    2

    2

    5;

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    EMP5103 Lecture 1 Thursday, January 10, 2013

    2

    FD'FDFD,

    FDFDFD

    FDFDFD

    FD

    FFDD

    FD

    FFDDFD

    2

    21

    212

    2

    211

    1

    21

    212

    2

    211

    1

    21

    212

    22

    211

    11

    21

    21

    21

    21

    !ff!!ff!!f!ff!

    t&ft&!ff!ff

    t&ft&f!!f!!

    t&f!t&f!!fo

    &&

    e&&&

    &e

    &&&

    &

    &&tP

    e&&&

    &e

    &&&

    &

    &&tP

    e&&&

    &&e

    &&&

    &&

    &&tP

    ++++++++=

    +

    ++=

    +

    ++=

    ++

    +++=

    Ma+imiin0 Income of a ,o(ot System Su(Gect to Failure and ,epair:

    0F0D,1F0D,0SS

    FDFDFD

    FDFDFD

    10

    011

    100

    ===

    +=

    +=

    PPtti1e)t

    tPtPdt

    tdP

    tPtPdt

    tdP

    $it:una.ai$abietPt"

    t:a.ai$abi$ietPt)

    t

    t

    =++==

    =+

    ++

    ==

    +

    +

    FD1

    FD0

    FDFD

    FDFD

    Root @(

    0

    Root Do9n

    1

    V

    Y

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    EMP5103 Lecture 1 Thursday, January 10, 2013

    do9nti1eu!ti1e

    u!ti1e

    233F233R

    233F

    233R233F

    233R)## +=

    +=

    +=

    +=

    11

    1

    Periodic ost of the robot sstem maintenance cre, is gi#en b=

    233R

    &&24 ==

    ,here=k is the robot sstem maintenance cost @constantB depending on the nature of the robot

    sstem.

    The e

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    EMP5103 Lecture 1 Thursday, January 10, 2013

    ( ) ( )

    ( )1

    M

    0

    2H1

    22

    =

    =++

    =

    +

    =

    =

    &

    233F8

    233F233R

    233R

    &

    233R233F

    233F8

    d233R

    d=8

    233R

    &

    233R233F

    233F8=8

    2408=8

    r

    !=. Euality Mana0ement.

    Euality /ontrol:

    This is a management function ,hereb contro& of the qua&it of manufactured item and ra,materia&s is e qua&it requirements ha#e been rising at a a&arming rate

    4 5ecause of the abo#e factors present methods and practices associated ,ith qua&it are

    rapid& becoming outmoded.

    Functions of t$e Euality /ontrol n0ineerin0:4 Process qua&it contro& @manufacturing aspectB

    4 Jua&it contro& in ne, design

    4 Jua&it contro& of incoming materia&

    4 "n#entor e#a&uation qua&it contro&

    4 pecia& studies concerning qua&it contro&

    Euality /ontrol Manual:

    4 5enefits=

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    EMP5103 Lecture 1 Thursday, January 10, 2013

    o "t becomes usefu& ,hen making qua&it-re&ated decisions.

    o "t ser#es as a reference document.

    o "t can be used as a te

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    EMP5103 Lecture 1 Thursday, January 10, 2013

    t!ur'-a#e3-e4

    t5ua$it:.endor3-e4

    indexe!erfor1an't5ua$it:t-eofBa$ueC8

    4

    44C8

    !

    .5

    !

    !.5

    cosSSK

    cosSSSK

    SScosSSSSK

    +=

    QIC 1.1 or more indicates that there is an immediate need for correcti#e measures.*

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    EMP5103 Lecture 1 Thursday, January 10, 2013

    Euality /ontrol /$arts:

    1. The p-chart.

    2. The X-chart

    3. The 6-chart4. The c-chart

    T$e p-c$art:omponents ,ith defects #ersus components free of defects.Hpper contro& &imit= HLp C 3X

    Lo,er contro& &imit= LLp C - 3X= the mean of the binomia& distribution

    X= the standard de#iation of the binomia& distribution

    1

    ==

    8here =

    N= is the tota& number of defecti#es in c&assification

    3\3\

    ;;.>)

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    EMP5103 Lecture 1 Thursday, January 10, 2013

    m= is the size of the samp&e

    = is the number of samp&es

    ( ) 21

    1

    =

    1

    *