Sustainable Scheduling of an Automatic Pallet Changer System by Multi-Objective Evolutionary Algorithm with First Piece Inspection

In this study, the machining center with the Automated Pallet Changer (APC) scheduling problem considering the disturbance of the first piece inspection is presented. The APC is frequently used in industry practice; it is useful in terms of sustainability and robustness because it increases the mach...

Full description

Saved in:
Bibliographic Details
Published in:Sustainability Vol. 11; no. 5; p. 1498
Main Authors: Liao, Qingmiao, Yang, Jianjun, Zhou, Yong
Format: Journal Article
Language:English
Published: Basel MDPI AG 12.03.2019
Subjects:
algorithms
Automation
genes
Genetic algorithms
Job shops
manufacturing
Preventive maintenance
Process planning
Production scheduling
risk
simulation models
Studies
Sustainable development
uncertainty
United States > US
China
ISSN:2071-1050, 2071-1050
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Abstract In this study, the machining center with the Automated Pallet Changer (APC) scheduling problem considering the disturbance of the first piece inspection is presented. The APC is frequently used in industry practice; it is useful in terms of sustainability and robustness because it increases the machine utilization rate and enhances the responsiveness to uncertainties in dynamic environments. An enhanced evolutionary algorithm for APC scheduling (APCEA) is developed by combining the multi-objective evolutionary algorithm with APC simulation. The dynamic factors in the simulation model include the pass rate of the first piece inspection (FPI) and the adjusted time when the FPI is unpassed. The proposed APCEA defines the non-robust gene based on the risk combination of the first piece inspection, and screens the non-robust gene in the genetic operation, thus improving the solution quality under the same computation times. Compared with the other three multi-objective evolutionary algorithms (MOEAs), it is demonstrated that the proposed APCEA produces the best result among the four methods. The proposed APCEA has been embedded into the manufacturing execution system (MES) and successfully applied in a manufacturing plant. The application value of the proposed method is verified by a practical example.
AbstractList In this study, the machining center with the Automated Pallet Changer (APC) scheduling problem considering the disturbance of the first piece inspection is presented. The APC is frequently used in industry practice; it is useful in terms of sustainability and robustness because it increases the machine utilization rate and enhances the responsiveness to uncertainties in dynamic environments. An enhanced evolutionary algorithm for APC scheduling (APCEA) is developed by combining the multi-objective evolutionary algorithm with APC simulation. The dynamic factors in the simulation model include the pass rate of the first piece inspection (FPI) and the adjusted time when the FPI is unpassed. The proposed APCEA defines the non-robust gene based on the risk combination of the first piece inspection, and screens the non-robust gene in the genetic operation, thus improving the solution quality under the same computation times. Compared with the other three multi-objective evolutionary algorithms (MOEAs), it is demonstrated that the proposed APCEA produces the best result among the four methods. The proposed APCEA has been embedded into the manufacturing execution system (MES) and successfully applied in a manufacturing plant. The application value of the proposed method is verified by a practical example.
Author Yang, Jianjun
Liao, Qingmiao
Zhou, Yong
Author_xml – sequence: 1
  givenname: Qingmiao
  surname: Liao
  fullname: Liao, Qingmiao
– sequence: 2
  givenname: Jianjun
  surname: Yang
  fullname: Yang, Jianjun
– sequence: 3
  givenname: Yong
  surname: Zhou
  fullname: Zhou, Yong
BookMark eNptkUtLHEEQx5tgIMZ4ySdo8BICo_3Ymd45LotGQVFYPQ81PTW7vfR0b_ph2Gs-eXoxoIh1-FcV_OpFfSVHzjsk5Dtn51K27CJmzlnNZ-38EzkWTPGqpOzoTfyFnMa4ZcWk5C1vjsnfVY4JjIPeIl3pDQ7ZGremfqTg6CInP0Eymj6AtZjocgNujYGu9jHhRPs9vcs2meq-36JO5hnp5bO3ORnvIOzpwq59MGkz0T9F6ZUJMdEHgxrpjYu7Q4l338jnEWzE0__-hDxdXT4ur6vb-183y8VtpaWYp6pXKKFvxnkr-DgMAnpdF9UcBqnaWjGslWZjDxyUniEIpVhbM6Fm81aLZpAn5MdL313wvzPG1E0marQWHPocOyHVjDe1qtuCnr1Dtz4HV7brhOCSizKwKdTPF0oHH2PAsdsFM5W7O866w0e6148UmL2DtUlwuD8FMPajkn94OpEq
CitedBy_id crossref_primary_10_7735_ksmte_2025_34_2_73
crossref_primary_10_1016_j_jmsy_2024_01_010
crossref_primary_10_3390_su132313382
crossref_primary_10_1016_j_jmsy_2023_08_019
Cites_doi 10.1109/CMAME.2018.8592381
10.1080/07408179708966311
10.1007/s10951-008-0090-8
10.1007/s10710-005-6164-x
10.1109/4235.996017
10.1016/j.jmsy.2015.08.002
10.1109/ACCESS.2019.2897603
10.1287/opre.25.1.45
10.1016/S0377-2217(02)00077-2
10.1080/07408170701283198
10.1162/EVCO_a_00053
10.1111/j.1937-5956.2005.tb00235.x
10.3390/su11020502
10.1007/s10696-006-8819-1
10.1080/0305215X.2016.1145216
10.3390/su9101754
10.1007/3-540-36970-8_16
10.1145/298151.298382
10.1023/A:1022235519958
10.1016/j.jmsy.2017.12.006
10.1016/j.compind.2004.06.005
10.1080/00207540701450013
10.1007/s10696-012-9143-6
10.1109/ACCESS.2018.2883802
10.1007/s00170-007-1268-5
10.1007/s10845-013-0804-4
ContentType Journal Article
Copyright 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Copyright_xml – notice: 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
DBID AAYXX
CITATION
4U-
ABUWG
AFKRA
AZQEC
BENPR
CCPQU
DWQXO
PHGZM
PHGZT
PIMPY
PKEHL
PQEST
PQQKQ
PQUKI
PRINS
7S9
L.6
DOI 10.3390/su11051498
DatabaseName CrossRef
University Readers
ProQuest Central (Alumni)
ProQuest Central UK/Ireland
ProQuest Central Essentials
ProQuest Central
ProQuest One Community College
ProQuest Central
Proquest Central Premium
ProQuest One Academic
Publicly Available Content Database
ProQuest One Academic Middle East (New)
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Academic (retired)
ProQuest One Academic UKI Edition
ProQuest Central China
AGRICOLA
AGRICOLA - Academic
DatabaseTitle CrossRef
Publicly Available Content Database
University Readers
ProQuest One Academic Middle East (New)
ProQuest Central Essentials
ProQuest One Academic Eastern Edition
ProQuest Central (Alumni Edition)
ProQuest One Community College
ProQuest Central China
ProQuest Central
ProQuest One Academic UKI Edition
ProQuest Central Korea
ProQuest Central (New)
ProQuest One Academic
ProQuest One Academic (New)
AGRICOLA
AGRICOLA - Academic
DatabaseTitleList CrossRef
AGRICOLA
Publicly Available Content Database
Database_xml – sequence: 1
  dbid: PIMPY
  name: Publicly Available Content Database
  url: http://search.proquest.com/publiccontent
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Economics
Environmental Sciences
EISSN 2071-1050
ExternalDocumentID 10_3390_su11051498
GeographicLocations United States--US
China
GeographicLocations_xml – name: China
– name: United States--US
GroupedDBID 29Q
2WC
4P2
5VS
7XC
8FE
8FH
A8Z
AAHBH
AAYXX
ACHQT
ADBBV
ADMLS
AENEX
AFFHD
AFKRA
AFMMW
ALMA_UNASSIGNED_HOLDINGS
BCNDV
BENPR
CCPQU
CITATION
E3Z
ECGQY
ESTFP
FRS
GX1
KQ8
ML.
MODMG
M~E
OK1
P2P
PHGZM
PHGZT
PIMPY
PROAC
TR2
4U-
ABUWG
AZQEC
DWQXO
PKEHL
PQEST
PQQKQ
PQUKI
PRINS
7S9
L.6
PUEGO
ID FETCH-LOGICAL-c328t-b7e3ab6f8921fdd2abc5d2ac1ad379570e57c0fba1a7c4ea277095027489c26d3
IEDL.DBID BENPR
ISICitedReferencesCount 4
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000462661000282&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 2071-1050
IngestDate Mon Sep 08 17:13:55 EDT 2025
Mon Jun 30 07:26:03 EDT 2025
Tue Nov 18 22:35:33 EST 2025
Sat Nov 29 07:18:12 EST 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 5
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c328t-b7e3ab6f8921fdd2abc5d2ac1ad379570e57c0fba1a7c4ea277095027489c26d3
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
OpenAccessLink https://www.proquest.com/docview/2213127956?pq-origsite=%requestingapplication%
PQID 2213127956
PQPubID 2032327
ParticipantIDs proquest_miscellaneous_2374165759
proquest_journals_2213127956
crossref_primary_10_3390_su11051498
crossref_citationtrail_10_3390_su11051498
PublicationCentury 2000
PublicationDate 20190312
PublicationDateYYYYMMDD 2019-03-12
PublicationDate_xml – month: 03
  year: 2019
  text: 20190312
  day: 12
PublicationDecade 2010
PublicationPlace Basel
PublicationPlace_xml – name: Basel
PublicationTitle Sustainability
PublicationYear 2019
Publisher MDPI AG
Publisher_xml – name: MDPI AG
References ref_34
Barco (ref_21) 2014; 26
ref_32
Alcaide (ref_8) 2005; 17
ref_31
Lin (ref_19) 2014; 25
ref_30
Gen (ref_18) 2014; 25
Diabat (ref_22) 2011; 3
Coello (ref_33) 2005; 6
Vieira (ref_6) 2003; 6
Jin (ref_14) 2008; 39
Sortrakul (ref_12) 2005; 56
Giret (ref_1) 2015; 37
ref_17
ref_15
Lee (ref_28) 1997; 29
Hadka (ref_29) 2012; 20
Panwalkar (ref_27) 1977; 25
Goren (ref_10) 2008; 40
Graham (ref_25) 1979; 5
Zhou (ref_23) 2019; 7
ref_24
Deb (ref_26) 2002; 6
ref_20
Kleindorfer (ref_2) 2005; 14
Alcaide (ref_9) 2002; 140
Zhou (ref_16) 2019; 7
Mouzon (ref_3) 2007; 45
Zhang (ref_13) 2016; 48
Siedlak (ref_11) 2018; 46
ref_5
ref_4
Ouelhadj (ref_7) 2009; 14
References_xml – ident: ref_30
– ident: ref_17
  doi: 10.1109/CMAME.2018.8592381
– volume: 29
  start-page: 45
  year: 1997
  ident: ref_28
  article-title: A heuristic to minimize the total weighted tardiness with sequence-dependent setups
  publication-title: IIE Trans.
  doi: 10.1080/07408179708966311
– volume: 14
  start-page: 417
  year: 2009
  ident: ref_7
  article-title: A survey of dynamic scheduling in manufacturing systems
  publication-title: J. Sched.
  doi: 10.1007/s10951-008-0090-8
– ident: ref_24
– ident: ref_34
– volume: 6
  start-page: 163
  year: 2005
  ident: ref_33
  article-title: Solving multi-objective optimization problems using an artificial immune system
  publication-title: Genet. Program. Evol. Mach.
  doi: 10.1007/s10710-005-6164-x
– volume: 6
  start-page: 182
  year: 2002
  ident: ref_26
  article-title: A fast and elitist multiobjective genetic algorithm: NSGA-II
  publication-title: IEEE Trans. Evol. Comput.
  doi: 10.1109/4235.996017
– volume: 37
  start-page: 126
  year: 2015
  ident: ref_1
  article-title: Sustainability in manufacturing operations scheduling: A state of the art review
  publication-title: J. Manuf. Syst.
  doi: 10.1016/j.jmsy.2015.08.002
– volume: 5
  start-page: 287
  year: 1979
  ident: ref_25
  article-title: Optimization and approximation in deterministic sequencing and scheduling: A survey
  publication-title: Ann. Oper. Res.
– volume: 25
  start-page: 849
  year: 2014
  ident: ref_19
  article-title: Hybrid evolutionary optimisation with learning for production scheduling: State-of-the-art survey on algorithms and applications
  publication-title: Int. J. Prod. Res.
– volume: 7
  start-page: 21147
  year: 2019
  ident: ref_23
  article-title: Multi-agent based hyper-heuristics for multi-objective flexible job shop scheduling: A case study in an aero-engine blade manufacturing plant
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2019.2897603
– volume: 25
  start-page: 45
  year: 1977
  ident: ref_27
  article-title: A survey of scheduling rules
  publication-title: Oper. Res.
  doi: 10.1287/opre.25.1.45
– volume: 3
  start-page: 326
  year: 2011
  ident: ref_22
  article-title: A heuristic approach to scheduling jobs in machining centres equipped with automated pallet changers
  publication-title: Int. J. Adv. Oper. Manag.
– volume: 140
  start-page: 384
  year: 2002
  ident: ref_9
  article-title: An approach to solve the minimum expected makespan flow-shop problem subject to breakdowns
  publication-title: Eur. J. Oper. Res.
  doi: 10.1016/S0377-2217(02)00077-2
– volume: 40
  start-page: 66
  year: 2008
  ident: ref_10
  article-title: Robustness and stability measures for scheduling: Single-machine environment
  publication-title: IIE Trans.
  doi: 10.1080/07408170701283198
– volume: 20
  start-page: 423
  year: 2012
  ident: ref_29
  article-title: Diagnostic assessment of search controls and failure modes in many-objective evolutionary optimization
  publication-title: Evol. Comput.
  doi: 10.1162/EVCO_a_00053
– volume: 14
  start-page: 482
  year: 2005
  ident: ref_2
  article-title: Sustainable Operations Management
  publication-title: J. Prod. Oper. Manag.
  doi: 10.1111/j.1937-5956.2005.tb00235.x
– ident: ref_4
  doi: 10.3390/su11020502
– volume: 17
  start-page: 201
  year: 2005
  ident: ref_8
  article-title: A heuristic approach to minimize expected makespan in open shops subject to stochastic processing times and failures
  publication-title: Int. J. Flex. Manuf. Syst.
  doi: 10.1007/s10696-006-8819-1
– volume: 48
  start-page: 1973
  year: 2016
  ident: ref_13
  article-title: Robust scheduling for multi-objective flexible job-shop problems with flexible workdays
  publication-title: Eng. Optim.
  doi: 10.1080/0305215X.2016.1145216
– ident: ref_5
  doi: 10.3390/su9101754
– ident: ref_31
  doi: 10.1007/3-540-36970-8_16
– ident: ref_32
  doi: 10.1145/298151.298382
– volume: 6
  start-page: 39
  year: 2003
  ident: ref_6
  article-title: Rescheduling manufacturing systems: A framework of strategies, policies, and methods
  publication-title: J. Sched.
  doi: 10.1023/A:1022235519958
– ident: ref_15
– volume: 46
  start-page: 193
  year: 2018
  ident: ref_11
  article-title: Robust simulation-based scheduling methodology to reduce the impact of manual installation tasks on low-volume aerospace production flows
  publication-title: J. Manuf. Syst.
  doi: 10.1016/j.jmsy.2017.12.006
– volume: 56
  start-page: 161
  year: 2005
  ident: ref_12
  article-title: Genetic algorithms for integrated preventive maintenance planning and production scheduling for a single machine
  publication-title: Comput. Ind.
  doi: 10.1016/j.compind.2004.06.005
– volume: 45
  start-page: 4247
  year: 2007
  ident: ref_3
  article-title: Operational methods for minimization of energy consumption of manufacturing equipment
  publication-title: Int. J. Prod. Res.
  doi: 10.1080/00207540701450013
– volume: 26
  start-page: 408
  year: 2014
  ident: ref_21
  article-title: Using Genetic Algorithms to solve scheduling problems on flexible manufacturing systems (FMS): A literature survey, classification and analysis
  publication-title: Flex. Serv. Manuf. J.
  doi: 10.1007/s10696-012-9143-6
– volume: 7
  start-page: 68
  year: 2019
  ident: ref_16
  article-title: Hyper-heuristic coevolution of machine assignment and job sequencing rules for multi-objective dynamic flexible job shop scheduling
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2018.2883802
– volume: 39
  start-page: 954
  year: 2008
  ident: ref_14
  article-title: Multi-objective integrated optimization research on preventive maintenance planning and production scheduling for a single machine
  publication-title: Int. J. Adv. Manuf. Technol.
  doi: 10.1007/s00170-007-1268-5
– ident: ref_20
– volume: 25
  start-page: 849
  year: 2014
  ident: ref_18
  article-title: Multiobjective evolutionary algorithm for manufacturing scheduling problems: State-of-the-art survey
  publication-title: J. Intell. Manuf.
  doi: 10.1007/s10845-013-0804-4
SSID ssj0000331916
Score 2.173858
Snippet In this study, the machining center with the Automated Pallet Changer (APC) scheduling problem considering the disturbance of the first piece inspection is...
SourceID proquest
crossref
SourceType Aggregation Database
Enrichment Source
Index Database
StartPage 1498
SubjectTerms algorithms
Automation
genes
Genetic algorithms
Job shops
manufacturing
Preventive maintenance
Process planning
Production scheduling
risk
simulation models
Studies
Sustainable development
uncertainty
Title Sustainable Scheduling of an Automatic Pallet Changer System by Multi-Objective Evolutionary Algorithm with First Piece Inspection
URI https://www.proquest.com/docview/2213127956
https://www.proquest.com/docview/2374165759
Volume 11
WOSCitedRecordID wos000462661000282&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVHPJ
  databaseName: ROAD: Directory of Open Access Scholarly Resources
  customDbUrl:
  eissn: 2071-1050
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0000331916
  issn: 2071-1050
  databaseCode: M~E
  dateStart: 20090101
  isFulltext: true
  titleUrlDefault: https://road.issn.org
  providerName: ISSN International Centre
– providerCode: PRVPQU
  databaseName: ProQuest Central
  customDbUrl:
  eissn: 2071-1050
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0000331916
  issn: 2071-1050
  databaseCode: BENPR
  dateStart: 20090301
  isFulltext: true
  titleUrlDefault: https://www.proquest.com/central
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: Publicly Available Content Database
  customDbUrl:
  eissn: 2071-1050
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0000331916
  issn: 2071-1050
  databaseCode: PIMPY
  dateStart: 20090301
  isFulltext: true
  titleUrlDefault: http://search.proquest.com/publiccontent
  providerName: ProQuest
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1LT9wwEB7BUqlceLWI5SVX7aUHq4mzxMkJLSgrOLCNaCvRU-Q4DiyCBDZZJC4c-OXMJN5dISEuHBIpySiy8o09D2e-AfjRk3mQoRvOja8NJ352TjDzXh64WqSB7xunaTYhh8Pg4iKMbcKtsr9VTtfEZqHOSk058l9CuJ4rJLrzh3f3nLpG0e6qbaGxCEvEVNbrwNJRNIzPZ1kWx0MVc_2Wl9TD-B7xRYOHXkIYvLZErxfixroMVj86rjVYsX4l67eKsA4LptiAz9Oy42oDNqN5SRsK2jldfYHnP_MaKrx9hbaHStRZmTNVsP6kLhtWVxZT15WateUIY9ZSnbP0kTU1vPx3et2unSx6sOqsxo-sf3OJo62vbhllfNlghN4mi0dGG3ZatGWeZfEV_g2iv8cn3HZm4NoTQc1TaTyV-nkQCjfPMqFSfYBn7arMw08hHXMgtZOnylVS94wSUqIrRxFwEGrhZ94mdIqyMFvADMKjRIaqgoYyd0QqMAhUOR4ZcQHKLvycopRoS1tO3TNuEgxfCNFkjmgXvs9k71qyjjeldqdIJnbCVskcxi58mz3GqUb7J6ow5QRlPHJfqaPp9vuv2IFl9KtC-lXNFbvQqccTswef9EM9qsb7Vkf3YfHsKcKr-PQs_v8CLhz3Nw
linkProvider ProQuest
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Nb9QwEB2VFqlcoC1UXWiLEXDgYDWx0zg5ILTArrpqWVZQpN5Sx3HoVm1SNtmivfKD-I2dyceuKiFuPfSQHJKRD_abmTe2ZwbgjafSIEEazq1vLKf67JyWmXtp4BoRB75vnarZhBoOg5OTcLQEf9tcGLpW2drEylAnuaE98j0hXOkKhXT-w9UvTl2j6HS1baFRw-LQzn5jyFa8H3zG9X0rRL93_OmAN10FuJEiKHmsrNSxnwahcNMkETo2-_g2rk4kDq8cu6-Mk8ba1cp4VgulkIZQ9BaERviJxHEfwIonPYV6tfKxNxx9m-_qOBIh7fp1HVQpQwfxhA4WWUkY3PZ8tw1_5c36T-7bPKzB44Y3s24N9HVYstkGrLZp1cUGbPYWKXso2Nis4in8-b7IEcPPZ-hbKQWf5SnTGetOy7yqWstG1FWmZHW6xYTVpdxZPGNVjjL_Gp_XvoH1rht11ZMZ6178xNkpzy4Z7Wiz_hjZNBuNrbFskNVprHn2DH7cydxswnKWZ3YLmEU4aJGgKiARSB0RCwxydYpPQrUOVQfetaiITFOWnbqDXEQYnhGCogWCOvB6LntVFyP5p9R2i5yoMUhFtIBNB17Nf6MpofMhndl8ijKS6Dl1bH3-_yFewurB8Zej6GgwPHwBj5BDhnQtzxXbsFxOpnYHHprrclxMdhv9YHB611C8AT8HUpg
linkToPdf http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Lb9QwEB6VFgEXHoWKhQJGwIGD1cTexsmhQiu6K1aFJRIglVPqODZdVJKyyRbttT-rv64zeeyqEuLWA4fkkIwSyf5m5hvbMwPwuq9cmCEN5zYwllN9dk7TzPsu9I1IwyCwXt1sQk0m4eFhFK_BRZcLQ8cqO5tYG-qsMLRGviOEL32hkM7vuPZYRLw_enf6m1MHKdpp7dppNBA5sIs_GL6Ve-N9nOs3QoyGX99_4G2HAW6kCCueKit1GrgwEr7LMqFTs4t34-tM4q-UZ3eV8Vyqfa1M32qhFFISiuTCyIggk_jdG7CBlLyPOrYRjz_F35crPJ5EePtBUxNVyshDbKGzRYYShVe94FUnUHu20b3_eUzuw92WT7NBowAPYM3mm3C7S7cuN2FruErlQ8HWlpUP4fzLKncMHx-jz6XUfFY4pnM2mFdFXc2WxdRtpmJNGsaMNSXeWbpgde4y_5z-bHwGG561aqxnCzY4-YGjUx3_YrTSzUZTZNksnlpj2Thv0luL_BF8u5ax2YL1vMjtY2AWoaFFhiqCBMF5IhUY_GqHV0Y1EFUP3nYISUxbrp26hpwkGLYRmpIVmnrwail72hQp-avUdoeipDVUZbKCUA9eLl-jiaF9I53bYo4ykmg7dXJ98u9PvIBbiL_k43hy8BTuILWM6LSeL7ZhvZrN7TO4ac6qaTl73qoKg6PrRuIlOJpbig
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=Sustainable+Scheduling+of+an+Automatic+Pallet+Changer+System+by+Multi-Objective+Evolutionary+Algorithm+with+First+Piece+Inspection&rft.jtitle=Sustainability&rft.au=Yang%2C+Jianjun&rft.au=Zhou%2C+Yong&rft.date=2019-03-12&rft.pub=MDPI+AG&rft.eissn=2071-1050&rft.volume=11&rft.issue=5&rft.spage=1498&rft_id=info:doi/10.3390%2Fsu11051498&rft.externalDBID=HAS_PDF_LINK
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2071-1050&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2071-1050&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2071-1050&client=summon