Algorithmic Construction of Efficient Fractional Factorial Designs With Large Run Sizes

Fractional factorial (FF) designs are widely used in practice and typically are chosen according to the minimum aberration criterion. A sequential algorithm is developed for constructing efficient FF designs. A construction procedure is proposed that allows a design to be constructed only from its m...

Full description

Saved in:
Bibliographic Details
Published inTechnometrics Vol. 51; no. 3; pp. 262 - 277
Main Author Xu, Hongquan
Format Journal Article
LanguageEnglish
Published Alexandria, VA Taylor & Francis 01.08.2009
The American Society for Quality and The American Statistical Association
American Society for Quality and the American Statistical Association
American Society for Quality
Subjects
Online AccessGet full text
ISSN0040-1706
1537-2723
DOI10.1198/tech.2009.07120

Cover

Abstract Fractional factorial (FF) designs are widely used in practice and typically are chosen according to the minimum aberration criterion. A sequential algorithm is developed for constructing efficient FF designs. A construction procedure is proposed that allows a design to be constructed only from its minimum aberration projection in the sequential buildup process. To efficiently identify nonisomorphic designs, designs are categorized according to moment projection pattern. A fast isomorphism checking procedure is developed by matching the factors using their delete-one-factor projections. This algorithm is used to completely enumerate all 128-run designs of resolution 4, all 256-run designs of resolution 4 up to 17 factors, all 512-run designs of resolution 5, all 1024-run designs of resolution 6, and all 2048- and 4,096-run designs of resolution 7. A method is proposed for constructing minimum aberration (MA) designs using only a partial catalog of some good designs. Three approaches to constructing good designs with a large number of factors are suggested. Efficient designs, often with MA, are tabulated up to 40, 80, 160, 45, 47, and 65 factors for 128, 256, 512, 1024, 2048, and 4,096 runs, respectively.
AbstractList Fractional factorial (FF) designs are widely used in practice and typically are chosen according to the minimum aberration criterion. A sequential algorithm is developed for constructing efficient FF designs. A construction procedure is proposed that allows a design to be constructed only from its minimum aberration projection in the sequential buildup process. To efficiently identify nonisomorphic designs, designs are categorized according to moment projection pattern. A fast isomorphism checking procedure is developed by matching the factors using their delete-one-factor projections. This algorithm is used to completely enumerate all 128-run designs of resolution 4, all 256-run designs of resolution 4 up to 17 factors, all 512-run designs of resolution 5, all 1024-run designs of resolution 6, and all 2048- and 4,096-run designs of resolution 7. A method is proposed for constructing minimum aberration (MA) designs using only a partial catalog of some good designs. Three approaches to constructing good designs with a large number of factors are suggested. Efficient designs, often with MA, are tabulated up to 40, 80, 160, 45, 47, and 65 factors for 128, 256, 512, 1024, 2048, and 4,096 runs, respectively.
Fractional factorial (FF) designs are widely used in practice and typically are chosen according to the minimum aberration criterion. A sequential algorithm is developed for constructing efficient FF designs. A construction procedure is proposed that allows a design to be constructed only from its minimum aberration projection in the sequential buildup process. To efficiently identify nonisomorphic designs, designs are categorized according to moment projection pattern. A fast isomorphism checking procedure is developed by matching the factors using their delete-one-factor projections. This algorithm is used to completely enumerate all 128-run designs of resolution 4, all 256-run designs of resolution 4 up to 17 factors, all 512-run designs of resolution 5, all 1024-run designs of resolution 6, and all 2048- and 4,096-run designs of resolution 7. A method is proposed for constructing minimum aberration (MA) designs using only a partial catalog of some good designs. Three approaches to constructing good designs with a large number of factors are suggested. Efficient designs, often with MA, are tabulated up to 40, 80, 160, 45, 47, and 65 factors for 128, 256, 512, 1024, 2048, and 4,096 runs, respectively. [PUBLICATION ABSTRACT]
Author Xu, Hongquan
Author_xml – sequence: 1
  givenname: Hongquan
  surname: Xu
  fullname: Xu, Hongquan
BackLink http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=21859142$$DView record in Pascal Francis
BookMark eNp9kN9rWyEYhmV0sDTb9a4KMujlSf30eNTelTTZBoHBftDLg8doajjRVg2l_etnmq4Xg-3KD33ez5fnFJ2EGCxCH4HMAJS8KNbczighakYEUPIGTYAz0VBB2QmaENKSBgTp3qHTnLeEAKNSTNDN1biJyZfbnTd4HkMuaW-KjwFHhxfOeeNtKHiZ9POtHvGyTjVRp2ub_SZkfFPjeKXTxuLv-4B_-Ceb36O3To_Zfng5p-jXcvFz_qVZffv8dX61agwTUBrtiKLDIDXYNeWyNUaZjjMAZ7lyslPOgDASZKtbQdQauHAdH-hg5QBKGTZFn45771K839tc-m3cp9oz9xRYJxgTokLnL5DORo8u6WB87u-S3-n0WEHJFbS0chdHzqSYc7LuFQHSHyT3B8n9QXL_LLkm-F8J44s-mCpJ-_E_ubNjbpurzNdvWsJl19XiU3R5fPfBxbTTDzGN677oxzGmP_XZv5b_BoAWoHk
CODEN TCMTA2
CitedBy_id crossref_primary_10_1016_j_jspi_2009_10_013
crossref_primary_10_1080_00401706_2018_1473798
crossref_primary_10_1002_sim_5526
crossref_primary_10_1080_00224065_2021_1991863
crossref_primary_10_1002_qre_1810
crossref_primary_10_1080_00401706_2012_676956
crossref_primary_10_1080_00401706_2013_822425
crossref_primary_10_1093_jrsssc_qlad031
crossref_primary_10_1016_j_csda_2020_107059
crossref_primary_10_1198_TECH_2010_08020
crossref_primary_10_1080_00401706_2018_1513381
crossref_primary_10_1016_j_csda_2022_107678
crossref_primary_10_1016_j_jspi_2010_04_009
crossref_primary_10_1016_j_spl_2017_06_029
crossref_primary_10_1093_biomet_ast073
crossref_primary_10_1016_j_jspi_2011_08_003
crossref_primary_10_1080_00224065_2021_1916412
crossref_primary_10_1016_j_jco_2011_04_001
crossref_primary_10_1214_13_AOS1160
crossref_primary_10_1016_j_jco_2013_04_002
crossref_primary_10_1007_s00362_017_0886_8
crossref_primary_10_1109_TAP_2012_2186272
crossref_primary_10_1214_08_SS040
crossref_primary_10_4236_ojapps_2025_152030
crossref_primary_10_1080_00401706_2015_1054436
crossref_primary_10_1080_24725854_2019_1655608
crossref_primary_10_1002_cjs_11494
crossref_primary_10_1002_widm_1046
crossref_primary_10_1016_j_jco_2014_12_001
crossref_primary_10_1016_j_jspi_2024_106192
crossref_primary_10_1080_0740817X_2012_654848
crossref_primary_10_1093_biomet_asac046
crossref_primary_10_3390_math11030750
Cites_doi 10.1006/jcom.2000.0569
10.2307/1268198
10.1109/18.133262
10.1016/j.jspi.2007.05.036
10.2307/1266725
10.1214/aos/1032181167
10.2307/2346973
10.2307/1270995
10.1080/00224065.2004.11980287
10.1214/009005360700000712
10.2307/1268764
10.1287/ijoc.1050.0136
10.1214/aoms/1177698525
10.1214/009053605000000813
10.1214/aoms/1177696965
10.1214/aos/1032181168
10.1007/s00184-005-0408-x
10.1080/00224065.2005.11980331
10.1214/aoms/1177698780
10.1093/biomet/90.1.233
10.1016/0378-3758(91)90062-J
10.2307/1403599
10.1198/004017004000000617
ContentType Journal Article
Copyright 2009 American Statistical Association and the American Society for Quality 2009
2009 American Statistical Association and the American Society for Quality
2015 INIST-CNRS
Copyright American Society for Quality Aug 2009
Copyright_xml – notice: 2009 American Statistical Association and the American Society for Quality 2009
– notice: 2009 American Statistical Association and the American Society for Quality
– notice: 2015 INIST-CNRS
– notice: Copyright American Society for Quality Aug 2009
DBID AAYXX
CITATION
IQODW
3V.
7WY
7WZ
7XB
87Z
88I
8AO
8C1
8FE
8FG
8FK
8FL
ABJCF
ABUWG
AFKRA
AZQEC
BENPR
BEZIV
BGLVJ
CCPQU
DWQXO
FRNLG
FYUFA
F~G
GHDGH
GNUQQ
HCIFZ
K60
K6~
L.-
L6V
M0C
M2P
M7S
PHGZM
PHGZT
PJZUB
PKEHL
PPXIY
PQBIZ
PQBZA
PQEST
PQGLB
PQQKQ
PQUKI
PRINS
PTHSS
PYYUZ
Q9U
S0X
DOI 10.1198/tech.2009.07120
DatabaseName CrossRef
Pascal-Francis
ProQuest Central (Corporate)
ABI/INFORM Collection
ABI/INFORM Global (PDF only)
ProQuest Central (purchase pre-March 2016)
ABI/INFORM Collection
Science Database (Alumni Edition)
ProQuest Pharma Collection
Public Health Database
ProQuest SciTech Collection
ProQuest Technology Collection
ProQuest Central (Alumni) (purchase pre-March 2016)
ABI/INFORM Collection (Alumni)
Materials Science & Engineering Collection
ProQuest Central (Alumni)
ProQuest Central
ProQuest Central Essentials - QC
ProQuest Central
Business Premium Collection
Technology Collection
ProQuest One
ProQuest Central Korea
Business Premium Collection (Alumni)
Health Research Premium Collection
ABI/INFORM Global (Corporate)
Health Research Premium Collection (Alumni)
ProQuest Central Student
SciTech Premium Collection
ProQuest Business Collection (Alumni Edition)
ProQuest Business Collection
ABI/INFORM Professional Advanced
ProQuest Engineering Collection
ABI/INFORM Global
Science Database
Engineering Database
Proquest Central Premium
ProQuest One Academic (New)
ProQuest Health & Medical Research Collection
ProQuest One Academic Middle East (New)
ProQuest One Health & Nursing
ProQuest One Business
ProQuest One Business (Alumni)
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Applied & Life Sciences
ProQuest One Academic
ProQuest One Academic UKI Edition
ProQuest Central China
Engineering collection
ABI/INFORM Collection China
ProQuest Central Basic
SIRS Editorial
DatabaseTitle CrossRef
ABI/INFORM Global (Corporate)
ProQuest Business Collection (Alumni Edition)
ProQuest One Business
ProQuest Central Student
Technology Collection
ProQuest One Academic Middle East (New)
ProQuest Central Essentials
SIRS Editorial
ProQuest Central (Alumni Edition)
SciTech Premium Collection
ProQuest One Community College
ProQuest One Health & Nursing
ProQuest Pharma Collection
ProQuest Central China
ABI/INFORM Complete
ProQuest Central
ABI/INFORM Professional Advanced
ProQuest One Applied & Life Sciences
ProQuest Health & Medical Research Collection
ProQuest Engineering Collection
Health Research Premium Collection
ProQuest Central Korea
Health & Medical Research Collection
ProQuest Central (New)
ABI/INFORM Complete (Alumni Edition)
Engineering Collection
Business Premium Collection
ABI/INFORM Global
Engineering Database
ProQuest Public Health
ProQuest Science Journals (Alumni Edition)
ABI/INFORM Global (Alumni Edition)
ProQuest Central Basic
ProQuest Science Journals
ProQuest One Academic Eastern Edition
ABI/INFORM China
ProQuest Technology Collection
Health Research Premium Collection (Alumni)
ProQuest SciTech Collection
ProQuest Business Collection
ProQuest One Academic UKI Edition
Materials Science & Engineering Collection
ProQuest One Business (Alumni)
ProQuest One Academic
ProQuest One Academic (New)
ProQuest Central (Alumni)
Business Premium Collection (Alumni)
DatabaseTitleList
ABI/INFORM Global (Corporate)

Database_xml – sequence: 1
  dbid: 8FG
  name: ProQuest Technology Collection
  url: https://search.proquest.com/technologycollection1
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
Statistics
Mathematics
Applied Sciences
EISSN 1537-2723
EndPage 277
ExternalDocumentID 1860201991
21859142
10_1198_tech_2009_07120
40586621
10714421
Genre Research Article
Feature
GroupedDBID -ET
-~X
..I
.7F
.DC
.QJ
07G
0BK
0R~
123
29Q
2AX
30N
4.4
5RE
7WY
85S
88I
8AO
8C1
8FE
8FG
8FL
96U
AAENE
AAGDL
AAHIA
AAJMT
AALDU
AAMIU
AAPUL
AAQRR
AAWIL
ABAWQ
ABBHK
ABCCY
ABEHJ
ABFAN
ABFIM
ABJCF
ABJNI
ABLIJ
ABPAQ
ABPEM
ABPPZ
ABQDR
ABTAI
ABUWG
ABXSQ
ABXUL
ABXYU
ABYWD
ACBEA
ACDIW
ACGFO
ACGFS
ACGOD
ACHJO
ACIWK
ACMTB
ACNCT
ACTCW
ACTIO
ACTMH
ADBBV
ADCVX
ADGTB
ADODI
ADULT
AEGXH
AEISY
AELLO
AENEX
AEOZL
AEPSL
AEUPB
AEYOC
AFAZI
AFKRA
AFRVT
AFVYC
AGCQS
AGDLA
AGLNM
AGMYJ
AHDZW
AIAGR
AIHAF
AIJEM
AIYEW
AKBRZ
AKBVH
AKOOK
ALMA_UNASSIGNED_HOLDINGS
ALQZU
ALRMG
AMXXU
AQRUH
AQTUD
AVBZW
AWYRJ
AZQEC
BCCOT
BENPR
BES
BEZIV
BGLVJ
BLEHA
BPHCQ
BPLKW
C06
CCCUG
CCPQU
CS3
DGEBU
DKSSO
DQDLB
DSRWC
DU5
DWIFK
DWQXO
EBS
ECEWR
EJD
E~A
E~B
F5P
FEDTE
FRNLG
FYUFA
GIFXF
GNUQQ
GTTXZ
H13
HCIFZ
HFX
HQ6
HZ~
H~P
IHF
IPNFZ
IPSME
J.P
JAA
JAAYA
JBMMH
JBZCM
JENOY
JHFFW
JKQEH
JLEZI
JLXEF
JMS
JPL
JST
K60
K6~
KYCEM
L6V
M0C
M2P
M4Z
M7S
MS~
MW2
NA5
NY~
O9-
P2P
PHGZM
PHGZT
PJZUB
PPXIY
PQBIZ
PQBZA
PQGLB
PQQKQ
PROAC
PTHSS
RIG
RNANH
ROSJB
RTWRZ
RWL
S-T
S0X
SA0
SNACF
TAE
TAQ
TASJS
TBQAZ
TDBHL
TEJ
TFL
TFT
TFW
TN5
TOXWX
TTHFI
TUROJ
U5U
UB9
UKHRP
UT5
UU3
WH7
WZA
YNT
ZE2
ZGOLN
~02
~S~
ADYSH
ALIPV
AMPGV
.-4
.GJ
3R3
41~
AAAVZ
AAIKQ
AAKBW
AAYJJ
AAYXX
ABEFU
ACAGQ
ACGEE
AEUMN
AGLEN
AGROQ
AHMOU
ALCKM
AMATQ
AMEWO
AMVHM
CITATION
CRFIH
DMQIW
HF~
HGD
HVGLF
I-F
IVXBP
LJTGL
MVM
NHB
NUSFT
PUEGO
QCRFL
TFMCV
UAP
VOH
YHZ
YXB
YYP
ZCG
ZXP
ZY4
IQODW
XOL
3V.
7XB
8FK
L.-
PKEHL
PQEST
PQUKI
PRINS
Q9U
ID FETCH-LOGICAL-c371t-af092bb8a1ed2584cc9c65311fe59f869fc17c8184a4709d157f65b2be8b199c3
IEDL.DBID BENPR
ISSN 0040-1706
IngestDate Wed Aug 13 10:53:51 EDT 2025
Mon Jul 21 09:15:07 EDT 2025
Wed Oct 01 02:30:54 EDT 2025
Thu Apr 24 23:13:34 EDT 2025
Thu Jun 19 15:03:09 EDT 2025
Mon Oct 20 23:30:20 EDT 2025
IsPeerReviewed true
IsScholarly true
Issue 3
Keywords Linear code
Experimental design
MacWilliams identity
Algorithmics
Isomorphism
Factorial design
Fractional factorial design
Catalogs
Minimum aberration
Resolution
Language English
License CC BY 4.0
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c371t-af092bb8a1ed2584cc9c65311fe59f869fc17c8184a4709d157f65b2be8b199c3
Notes SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
PQID 213673377
PQPubID 24108
PageCount 16
ParticipantIDs proquest_journals_213673377
jstor_primary_40586621
informaworld_taylorfrancis_310_1198_tech_2009_07120
crossref_primary_10_1198_tech_2009_07120
crossref_citationtrail_10_1198_tech_2009_07120
pascalfrancis_primary_21859142
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2009-08-01
PublicationDateYYYYMMDD 2009-08-01
PublicationDate_xml – month: 08
  year: 2009
  text: 2009-08-01
  day: 01
PublicationDecade 2000
PublicationPlace Alexandria, VA
PublicationPlace_xml – name: Alexandria, VA
– name: Alexandria
PublicationTitle Technometrics
PublicationYear 2009
Publisher Taylor & Francis
The American Society for Quality and The American Statistical Association
American Society for Quality and the American Statistical Association
American Society for Quality
Publisher_xml – name: Taylor & Francis
– name: The American Society for Quality and The American Statistical Association
– name: American Society for Quality and the American Statistical Association
– name: American Society for Quality
References p_29
Block R. M. (p_3) 2005; 37
p_23
p_24
Telford J. K. (p_30) 2007; 27
p_20
p_22
Mee R. W. (p_26) 2004; 36
p_16
p_17
p_18
p_1
p_19
p_4
p_12
p_34
p_35
p_15
p_8
p_7
p_9
Zhu Y. (p_36) 2005; 15
Clark J. B. (p_13) 2001; 11
Brouwer A. E. (p_6) 1998
Xu H. (p_32) 2003; 13
p_10
p_11
p_33
References_xml – volume: 13
  start-page: 691
  year: 2003
  ident: p_32
  publication-title: Statistica Sinica
– ident: p_24
  doi: 10.1006/jcom.2000.0569
– ident: p_20
  doi: 10.2307/1268198
– volume: 27
  start-page: 224
  year: 2007
  ident: p_30
  publication-title: Johns Hopkins APL Technical Digest
– ident: p_8
  doi: 10.1109/18.133262
– ident: p_23
  doi: 10.1016/j.jspi.2007.05.036
– ident: p_4
  doi: 10.2307/1266725
– ident: p_10
  doi: 10.1214/aos/1032181167
– ident: p_19
  doi: 10.2307/2346973
– ident: p_1
  doi: 10.2307/1270995
– volume: 36
  start-page: 400
  year: 2004
  ident: p_26
  publication-title: Journal of Quality Technology
  doi: 10.1080/00224065.2004.11980287
– ident: p_34
  doi: 10.1214/009005360700000712
– ident: p_18
  doi: 10.2307/1268764
– ident: p_22
  doi: 10.1287/ijoc.1050.0136
– volume: 15
  start-page: 717
  year: 2005
  ident: p_36
  publication-title: Statistica Sinica
– volume: 11
  start-page: 537
  year: 2001
  ident: p_13
  publication-title: Statistica Sinica
– ident: p_16
  doi: 10.1214/aoms/1177698525
– ident: p_9
  doi: 10.1214/009053605000000813
– ident: p_17
  doi: 10.1214/aoms/1177696965
– ident: p_29
  doi: 10.1214/aos/1032181168
– ident: p_33
  doi: 10.1007/s00184-005-0408-x
– volume: 37
  start-page: 282
  year: 2005
  ident: p_3
  publication-title: Journal of Quality Technology
  doi: 10.1080/00224065.2005.11980331
– ident: p_15
  doi: 10.1214/aoms/1177698780
– ident: p_7
  doi: 10.1093/biomet/90.1.233
– ident: p_11
  doi: 10.1016/0378-3758(91)90062-J
– start-page: 295
  year: 1998
  ident: p_6
  publication-title: V. S. Pless and W. C. Huffman, New York: Elsevier, pp.
– ident: p_12
  doi: 10.2307/1403599
– ident: p_35
  doi: 10.1198/004017004000000617
SSID ssj0013287
Score 2.0599601
Snippet Fractional factorial (FF) designs are widely used in practice and typically are chosen according to the minimum aberration criterion. A sequential algorithm is...
SourceID proquest
pascalfrancis
crossref
jstor
informaworld
SourceType Aggregation Database
Index Database
Enrichment Source
Publisher
StartPage 262
SubjectTerms Algorithms
Applied sciences
Binary codes
Coding theory
Coding, codes
Construction
Design
Design efficiency
Design engineering
Design evaluation
Exact sciences and technology
Experimental design
Factorial design
Factorials
Fractional factorial design
Graphic design
Information, signal and communications theory
Isomorphism
Linear code
MacWilliams identity
Mathematics
Minimum aberration
Probability and statistics
R&D
Research & development
Resolution
Sciences and techniques of general use
Signal and communications theory
Statistics
Telecommunications and information theory
Title Algorithmic Construction of Efficient Fractional Factorial Designs With Large Run Sizes
URI https://www.tandfonline.com/doi/abs/10.1198/tech.2009.07120
https://www.jstor.org/stable/40586621
https://www.proquest.com/docview/213673377
Volume 51
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVLSH
  databaseName: aylor and Francis Online
  customDbUrl:
  mediaType: online
  eissn: 1537-2723
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0013287
  issn: 0040-1706
  databaseCode: AHDZW
  dateStart: 19970201
  isFulltext: true
  providerName: Library Specific Holdings
– providerCode: PRVPQU
  databaseName: ProQuest Central
  customDbUrl: http://www.proquest.com/pqcentral?accountid=15518
  eissn: 1537-2723
  dateEnd: 20100831
  omitProxy: true
  ssIdentifier: ssj0013287
  issn: 0040-1706
  databaseCode: BENPR
  dateStart: 19970201
  isFulltext: true
  titleUrlDefault: https://www.proquest.com/central
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: ProQuest Technology Collection
  customDbUrl:
  eissn: 1537-2723
  dateEnd: 20100831
  omitProxy: true
  ssIdentifier: ssj0013287
  issn: 0040-1706
  databaseCode: 8FG
  dateStart: 19970201
  isFulltext: true
  titleUrlDefault: https://search.proquest.com/technologycollection1
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: Public Health Database
  customDbUrl:
  eissn: 1537-2723
  dateEnd: 20100831
  omitProxy: true
  ssIdentifier: ssj0013287
  issn: 0040-1706
  databaseCode: 8C1
  dateStart: 19970201
  isFulltext: true
  titleUrlDefault: https://search.proquest.com/publichealth
  providerName: ProQuest
– providerCode: PRVAWR
  databaseName: Taylor & Francis Science and Technology Library-DRAA
  customDbUrl:
  eissn: 1537-2723
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0013287
  issn: 0040-1706
  databaseCode: 30N
  dateStart: 19970101
  isFulltext: true
  titleUrlDefault: http://www.tandfonline.com/page/title-lists
  providerName: Taylor & Francis
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV3BTtwwEB3BcqGHqqVF3dKufOihl5Q4TuL4UCGgm6Kqu6poEdyi2LEpEt0Fsr3w9cw4TrSoopdIUexE8Rt7xvb4PYAPqnA1z-M6yrWsI4yIsUuJhkdGSkEeRmeKTiPP5vnJWfrtIrvYgFl_FobSKvsx0Q_UzdLQGvl-QtxiQkh5cHMbkWgUba72Chp1UFZoPnuGsU3YSogYawRbR9P5j9O1bYVC9ml0xBsTuH5w4r1PlKmBvlJyUv9ec1OPSEz7xEXKoqxbbEjXKWD8M5h7D1W-gOchtGSHnS28hA272IFna4SDeDcbWFrbHdimSLMjan4F54fXl_jDq99_rgwjGc-eWJYtHZt6ogn0T6y8605C4IdKL9WD9su--DSQlp1jdfadcsvZ6d8F-3l1b9vXcFZOfx2fREF1ITJC8lVUu1glWhc1t02C4YkxyuTYU7mzmXJFrpzh0qCfT-tUxqrhmXR5phNtC82VMmIXRovlwr4BlmYqIyHg2JHSGc4kC5s5UWunbKoxUhrDp76RKxMoyUkZ47ryUxNVVIQKKWWqyqMyho9DhZuOjePpomIdtWrlF0ACVpV4stauB3d4O8azRZ4nfAyTR2gPBTBEyhRPkzHs9fBXYRhoq8Fo3_736R5sd5tUlFf4DkYIsH2Psc5KT2BTxHO8FsecruXXSbDpBzW8_ks
linkProvider ProQuest
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3PTxQxFH5BPIgHoihhRbEHTbyMbKfTaXswhACbRXY5KARu47TbKgnuIrPG6P_E_-h7nR9ZYvDGcTJtJ-nX96PT1-8DeGN0KHneL5PcqjLBjBhNSkx44pQSFGGsNHQbeXycD0-zj-fyfAlu2rswVFbZ-sToqCczR__It1PiFhNCqZ2rHwmJRtHhaqugUa-KI__7F-7Yqg-H-wjv2zQdHJzsDZNGVCBxQvF5Uoa-Sa3VJfeTFKOvc8bluBB58NIEnZvguHIYxrIyU30z4VKFXNrUem25MU7guA_gYSZSRX5A7_GFQwut2iI9YqVpmIRwW79NhKwNOabipC2-EARvUaS2ZZFUo1lWCFOo9TX-CRUx_g2ewGqTuLLdeqU9hSU_XYPHC3SG-DTuOGCrNVihPLamgX4GZ7uXX3E659--XzhGIqEtbS2bBXYQaSww-rHBdX3PAj80iEJAaB1sPxaZVOwMu7MRVa6zTz-n7PPFH189h9N7mf51WJ7Opn4DWCaNJJnhfiAdNdynai-DKG0wPrOYh_XgfTvJhWsIz0l347KIGx-jC0KFdDhNEVHpwbuuw1XN9XF3U7GIWjGPv1carApxZ6_1CG43OmbLOs9T3oOtW2h3DTABk4ZnaQ82W_iLxslURWcSL_779jU8Gp6MR8Xo8PhoE1bq4zCqYHwJywi2f4VZ1dxuxbXM4Mt9G89fDpUx8A
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Nb9QwEB2VIqFyQFCoui0UH0DiEnYdJ3Z8QKjqNmrphxBQtTcTe22oVHZbsgjBP-PfMeN8aCtUbj1GsR3Jb8YzjsfvAbzQRai4HFWJtKpKMCNGlxITnjilBEUYm2u6jXx0LPdOsndn-dkS_OnuwlBZZbcmxoV6MnP0j3yYEreYEEoNQ1sV8X5cvr28SkhAig5aOzWNxkIO_K-fuHur3-yPEeqXaVruftrZS1qBgcQJxedJFUY6tbaouJ-kGImd006iUfLgcx0KqYPjymFIy6pMjfSE5yrI3KbWF5Zr7QSOewfuKiEl0fYXO3zhAKNQXcEeMdS0rEK4xR8SOWtLlKk46YwvBMRrdKldiSTVa1Y1QhYarY1_wkaMheVDeNAmsWy7sbpHsOSnq3B_gdoQn456Pth6FVYop20ooR_D6fbFF5zO-ddv546RYGhHYctmge1GSguMhKz83ty5wA-VURQIPYWNY8FJzU6xOzukKnb24ceUfTz_7esncHIr078Gy9PZ1K8Dy3Kdk-TwKJCmGu5ZC58HUdmgfWYxJxvA626SjWvJz0mD48LETZAuDKFCmpzaRFQG8KrvcNnwftzcVCyiZubxV0uLlRE39lqL4PajY-ZcSJnyAWxdQ7tvgMlYrnmWDmCzg9-0C05tevfY-O_b53AP3cYc7h8fbMJKczJGxYxPYRmx9s8wwZrbrWjKDD7ftu_8BVy_Nio
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Algorithmic+Construction+of+Efficient+Fractional+Factorial+Designs+With+Large+Run+Sizes&rft.jtitle=Technometrics&rft.au=Xu%2C+Hongquan&rft.date=2009-08-01&rft.pub=American+Society+for+Quality&rft.issn=0040-1706&rft.eissn=1537-2723&rft.volume=51&rft.issue=3&rft.spage=262&rft_id=info:doi/10.1198%2Ftech.2009.07120&rft.externalDBID=HAS_PDF_LINK&rft.externalDocID=1860201991
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0040-1706&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0040-1706&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0040-1706&client=summon