Industrial Organisation Class Notes uOttawa MCG 5171B
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Transcript of Industrial Organisation Class Notes uOttawa MCG 5171B
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7/25/2019 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.
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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
*