A Digital Twin-based Automatic Programming Method for Adaptive Control of Manufacturing Cells

The booming personalized and customized demands of customers in Industry 4.0 pose great challenges for manufacturing enterprises in terms of flexibility and responsiveness. Nowadays, many effective dynamic scheduling approaches have been proposed for manufacturing systems to quickly respond to chang...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	IEEE access Ročník 10; s. 1
Hlavní autoři:	Zhang, Chao, Zhou, Guanghui, Jing, Yanzhen, Wang, Rui, Chang, Fengtian
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Adaptation models Adaptive control Aerospace electronics Automatic programming Behavior model Customers Digital twin Digital twins Dynamic scheduling Event model Flexibility Industrial applications Industry 4.0 Job shop scheduling Manufacturing Programming Scheduling System effectiveness Task scheduling
ISSN:	2169-3536, 2169-3536
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Abstract	The booming personalized and customized demands of customers in Industry 4.0 pose great challenges for manufacturing enterprises in terms of flexibility and responsiveness. Nowadays, many effective dynamic scheduling approaches have been proposed for manufacturing systems to quickly respond to changes in customer demands, where, however, the implementation of an automatic programming method with high control accuracy and low control delay is still challenging. The above unaddressed issue brings about a lot of labor-intensive and time-consuming manual offline programming work when adjusting the scheduling scheme to meet dynamic customer demands, resulting in limited flexibility and responsiveness in current manufacturing systems. To bridge this gap, a bi-level adaptive control architecture enabled by an automatic programming method is proposed and embedded into a digital twin manufacturing cell (DTMC). The bi-level architecture aims to automatically map an input task scheduling scheme with a batch of jobs into a group of control programs through a behavior model network and a set of event models embedded in DTMC. It also provides an adaptive program modification mechanism to quickly adapt to the dynamic adjustment of the scheduling scheme caused by the changing of customer demands or production conditions, thus equipping DTMC with strong flexibility and responsiveness. Based on the bi-level architecture, a DTMC prototype system is developed, where its application and evaluation results demonstrate the feasibility and effectiveness of the proposed approach.
AbstractList	The booming personalized and customized demands of customers in Industry 4.0 pose a great challenge for manufacturing enterprises in terms of flexibility and responsiveness. Nowadays, many effective dynamic scheduling approaches have been proposed for manufacturing systems to quickly respond to changes in customer demands, where, however, the implementation of an automatic programming method with high control accuracy and low control delay is still challenging. The above unaddressed issue brings about a lot of labor-intensive and time-consuming manual offline programming work when adjusting the scheduling scheme to meet dynamic customer demands, resulting in limited flexibility and responsiveness in current manufacturing systems. To bridge this gap, a bi-level adaptive control architecture enabled by an automatic programming method is proposed and embedded into a digital twin manufacturing cell (DTMC). The bi-level architecture aims to automatically map an input task scheduling scheme with a batch of jobs into a group of control programs through a behavior model network and a set of event models embedded in DTMC. It also provides an adaptive program modification mechanism to quickly adapt to the dynamic adjustment of the scheduling scheme caused by the changing of customer demands or production conditions, thus equipping DTMC with strong flexibility and responsiveness. Based on the bi-level architecture, a DTMC prototype system is developed, where its application and evaluation examples demonstrate the feasibility and effectiveness of the proposed method. The booming personalized and customized demands of customers in Industry 4.0 pose great challenges for manufacturing enterprises in terms of flexibility and responsiveness. Nowadays, many effective dynamic scheduling approaches have been proposed for manufacturing systems to quickly respond to changes in customer demands, where, however, the implementation of an automatic programming method with high control accuracy and low control delay is still challenging. The above unaddressed issue brings about a lot of labor-intensive and time-consuming manual offline programming work when adjusting the scheduling scheme to meet dynamic customer demands, resulting in limited flexibility and responsiveness in current manufacturing systems. To bridge this gap, a bi-level adaptive control architecture enabled by an automatic programming method is proposed and embedded into a digital twin manufacturing cell (DTMC). The bi-level architecture aims to automatically map an input task scheduling scheme with a batch of jobs into a group of control programs through a behavior model network and a set of event models embedded in DTMC. It also provides an adaptive program modification mechanism to quickly adapt to the dynamic adjustment of the scheduling scheme caused by the changing of customer demands or production conditions, thus equipping DTMC with strong flexibility and responsiveness. Based on the bi-level architecture, a DTMC prototype system is developed, where its application and evaluation results demonstrate the feasibility and effectiveness of the proposed approach.
Author	Chang, Fengtian Zhang, Chao Zhou, Guanghui Jing, Yanzhen Wang, Rui
Author_xml	– sequence: 1 givenname: Chao surname: Zhang fullname: Zhang, Chao organization: School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China – sequence: 2 givenname: Guanghui orcidid: 0000-0002-4913-6967 surname: Zhou fullname: Zhou, Guanghui organization: School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China – sequence: 3 givenname: Yanzhen surname: Jing fullname: Jing, Yanzhen organization: School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China – sequence: 4 givenname: Rui surname: Wang fullname: Wang, Rui organization: School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China – sequence: 5 givenname: Fengtian surname: Chang fullname: Chang, Fengtian organization: School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China
BookMark	eNp9UU1r3DAUFCWFJml-QS6CnL3Vh2VZR-Mk7UJCC0mPRehzq8VrbWQ5pf--cp2WkkN1eeIxM--9mTNwMsbRAXCJ0QZjJD50fX_z8LAhiJANxYIJxN6AU4IbUVFGm5N__u_AxTTtUXltaTF-Cr518DrsQlYDfPwRxkqryVnYzTkeVA4Gfklxl9ThEMYdvHf5e7TQxwQ7q445PDvYxzGnOMDo4b0aZ69MntMC7t0wTO_BW6-GyV281HPw9fbmsf9U3X3-uO27u8rUqM2VJrStuaVEUMab2mujWo4V0YoLz7XGDlliDPfe2gLwGNnaO6aVYYgbXtNzsF11bVR7eUzhoNJPGVWQvxsx7aRK5ZzBydZRbT0ug2pXC2xbzrw1GmMjRMNEU7SuVq1jik-zm7LcxzmNZX1JOEI1Lm4uE8WKMilOU3JemmJiDosdKgwSI7mEI9dw5BKOfAmncOkr7p-N_8-6XFnBOfeXIYpxBDP6C3hHnMw
CODEN	IAECCG
CitedBy_id	crossref_primary_10_3390_s25113484 crossref_primary_10_1016_j_knosys_2022_110009 crossref_primary_10_1016_j_apenergy_2022_119986 crossref_primary_10_1016_j_aei_2025_103264 crossref_primary_10_1016_j_rcim_2025_102993 crossref_primary_10_1016_j_aei_2025_103321 crossref_primary_10_1016_j_jnca_2024_104024 crossref_primary_10_1016_j_cie_2023_109319 crossref_primary_10_3390_app15158525 crossref_primary_10_1016_j_aei_2023_102121 crossref_primary_10_1016_j_procs_2024_02_050 crossref_primary_10_1051_e3sconf_202459205024 crossref_primary_10_1007_s00170_022_10667_5 crossref_primary_10_1016_j_rcim_2024_102778 crossref_primary_10_1007_s00170_024_13861_9 crossref_primary_10_1109_JRFID_2024_3387996
Cites_doi	10.1109/TSMC.2020.3041121 10.1109/TII.2020.3011062 10.1109/TII.2019.2938885 10.1109/TLA.2020.9082917 10.1016/j.rcim.2020.101954 10.1109/TSMC.2017.2723764 10.1109/JSYST.2016.2514414 10.1109/CASE48305.2020.9216732 10.1109/ACCESS.2019.2891060 10.1016/j.procir.2019.04.084 10.1109/ACCESS.2021.3050238 10.1109/TII.2021.3073649 10.1109/ACCESS.2018.2869275 10.1016/j.jclepro.2022.130541 10.1016/j.rcim.2017.06.009 10.1109/JIOT.2018.2814063 10.1109/TSMC.2017.2736339 10.1080/00207543.2019.1607978 10.1080/00207543.2021.1951869 10.1109/JIOT.2020.3005729 10.1016/j.jmsy.2017.10.003 10.1109/LRA.2018.2799420 10.1109/TCYB.2019.2901268 10.1109/TSMC.2019.2930418 10.1109/ACCESS.2021.3110242 10.1109/TII.2020.3007764 10.1016/j.procs.2016.04.203 10.1109/COMST.2017.2705720
ContentType	Journal Article
Copyright	Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2022
Copyright_xml	– notice: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2022
DBID	97E ESBDL RIA RIE AAYXX CITATION 7SC 7SP 7SR 8BQ 8FD JG9 JQ2 L7M L~C L~D DOA
DOI	10.1109/ACCESS.2022.3195905
DatabaseName	IEEE All-Society Periodicals Package (ASPP) 2005–Present IEEE Xplore Open Access Journals IEEE All-Society Periodicals Package (ASPP) 1998–Present IEEE/IET Electronic Library CrossRef Computer and Information Systems Abstracts Electronics & Communications Abstracts Engineered Materials Abstracts METADEX Technology Research Database Materials Research Database ProQuest Computer Science Collection Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional DOAJ Directory of Open Access Journals
DatabaseTitle	CrossRef Materials Research Database Engineered Materials Abstracts Technology Research Database Computer and Information Systems Abstracts – Academic Electronics & Communications Abstracts ProQuest Computer Science Collection Computer and Information Systems Abstracts Advanced Technologies Database with Aerospace METADEX Computer and Information Systems Abstracts Professional
DatabaseTitleList	Materials Research Database
Database_xml	– sequence: 1 dbid: DOA name: Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: RIE name: IEEE/IET Electronic Library url: https://ieeexplore.ieee.org/ sourceTypes: Publisher
DeliveryMethod	fulltext_linktorsrc
Discipline	Engineering
EISSN	2169-3536
EndPage	1
ExternalDocumentID	oai_doaj_org_article_8e3bdf13574e491d875fdcb11c996596 10_1109_ACCESS_2022_3195905 9847215
Genre	orig-research
GrantInformation_xml	– fundername: Young Talent fund of University Association for Science and Technology in Shaanxi, China grantid: 20210409 – fundername: China Postdoctoral Science Foundation grantid: 2021M692556 funderid: 10.13039/501100002858 – fundername: National Natural Science Foundation of China grantid: 51975463; 52105530 funderid: 10.13039/501100001809
GroupedDBID	0R~ 4.4 5VS 6IK 97E AAJGR ABAZT ABVLG ACGFS ADBBV AGSQL ALMA_UNASSIGNED_HOLDINGS BCNDV BEFXN BFFAM BGNUA BKEBE BPEOZ EBS EJD ESBDL GROUPED_DOAJ IPLJI JAVBF KQ8 M43 M~E O9- OCL OK1 RIA RIE RNS AAYXX CITATION 7SC 7SP 7SR 8BQ 8FD JG9 JQ2 L7M L~C L~D
ID	FETCH-LOGICAL-c408t-b23847d32935764fbca871a2ba79f7bb1e0d2cc7ffdd576f10d4fe5bac507c743
IEDL.DBID	DOA
ISICitedReferencesCount	18
ISICitedReferencesURI	http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000838622900001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN	2169-3536
IngestDate	Fri Oct 03 12:44:29 EDT 2025 Sun Nov 30 04:21:21 EST 2025 Sat Nov 29 06:32:17 EST 2025 Tue Nov 18 21:51:49 EST 2025 Wed Aug 27 02:24:08 EDT 2025
IsDoiOpenAccess	true
IsOpenAccess	true
IsPeerReviewed	true
IsScholarly	true
Language	English
License	https://creativecommons.org/licenses/by/4.0/legalcode
LinkModel	DirectLink
MergedId	FETCHMERGED-LOGICAL-c408t-b23847d32935764fbca871a2ba79f7bb1e0d2cc7ffdd576f10d4fe5bac507c743
Notes	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14
ORCID	0000-0002-4913-6967
OpenAccessLink	https://doaj.org/article/8e3bdf13574e491d875fdcb11c996596
PQID	2700412164
PQPubID	4845423
PageCount	1
ParticipantIDs	crossref_primary_10_1109_ACCESS_2022_3195905 crossref_citationtrail_10_1109_ACCESS_2022_3195905 proquest_journals_2700412164 ieee_primary_9847215 doaj_primary_oai_doaj_org_article_8e3bdf13574e491d875fdcb11c996596
PublicationCentury	2000
PublicationDate	20220000 2022-00-00 20220101 2022-01-01
PublicationDateYYYYMMDD	2022-01-01
PublicationDate_xml	– year: 2022 text: 20220000
PublicationDecade	2020
PublicationPlace	Piscataway
PublicationPlace_xml	– name: Piscataway
PublicationTitle	IEEE access
PublicationTitleAbbrev	Access
PublicationYear	2022
Publisher	IEEE The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher_xml	– name: IEEE – name: The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
References	ref13 ref12 ref15 ref14 ref11 ref10 ref2 ref1 ref17 ref16 ref19 ref18 ref24 ref23 ref26 ref25 ref20 ref22 ref21 ref28 ref27 ref8 ref7 ref9 ref4 ref3 ref6 ref5
References_xml	– ident: ref21 doi: 10.1109/TSMC.2020.3041121 – ident: ref17 doi: 10.1109/TII.2020.3011062 – ident: ref19 doi: 10.1109/TII.2019.2938885 – ident: ref15 doi: 10.1109/TLA.2020.9082917 – ident: ref11 doi: 10.1016/j.rcim.2020.101954 – ident: ref6 doi: 10.1109/TSMC.2017.2723764 – ident: ref27 doi: 10.1109/JSYST.2016.2514414 – ident: ref5 doi: 10.1109/CASE48305.2020.9216732 – ident: ref16 doi: 10.1109/ACCESS.2019.2891060 – ident: ref7 doi: 10.1016/j.procir.2019.04.084 – ident: ref4 doi: 10.1109/ACCESS.2021.3050238 – ident: ref18 doi: 10.1109/TII.2021.3073649 – ident: ref3 doi: 10.1109/ACCESS.2018.2869275 – ident: ref23 doi: 10.1016/j.jclepro.2022.130541 – ident: ref25 doi: 10.1016/j.rcim.2017.06.009 – ident: ref2 doi: 10.1109/JIOT.2018.2814063 – ident: ref8 doi: 10.1109/TSMC.2017.2736339 – ident: ref10 doi: 10.1080/00207543.2019.1607978 – ident: ref20 doi: 10.1080/00207543.2021.1951869 – ident: ref22 doi: 10.1109/JIOT.2020.3005729 – ident: ref24 doi: 10.1016/j.jmsy.2017.10.003 – ident: ref1 doi: 10.1109/LRA.2018.2799420 – ident: ref12 doi: 10.1109/TCYB.2019.2901268 – ident: ref9 doi: 10.1109/TSMC.2019.2930418 – ident: ref13 doi: 10.1109/ACCESS.2021.3110242 – ident: ref14 doi: 10.1109/TII.2020.3007764 – ident: ref26 doi: 10.1016/j.procs.2016.04.203 – ident: ref28 doi: 10.1109/COMST.2017.2705720
SSID	ssj0000816957
Score	2.336197
Snippet	The booming personalized and customized demands of customers in Industry 4.0 pose great challenges for manufacturing enterprises in terms of flexibility and... The booming personalized and customized demands of customers in Industry 4.0 pose a great challenge for manufacturing enterprises in terms of flexibility and...
SourceID	doaj proquest crossref ieee
SourceType	Open Website Aggregation Database Enrichment Source Index Database Publisher
StartPage	1
SubjectTerms	Adaptation models Adaptive control Aerospace electronics Automatic programming Behavior model Customers Digital twin Digital twins Dynamic scheduling Event model Flexibility Industrial applications Industry 4.0 Job shop scheduling Manufacturing Programming Scheduling System effectiveness Task scheduling
SummonAdditionalLinks	– databaseName: IEEE/IET Electronic Library dbid: RIE link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1NT9wwELUo6qEc-kVRt6XIB46kxFlvHB_TtKgHQBxA4lJZ_hhXK22ziN0tf58Zx0RIRUi9RZEd2Xm2Z57tecPYIQiAUti6UN41hXRRFVaDK7S1rkb7pLVLIq6n6vy8ub7WF1vsaIyFAYB0-Qy-0mM6yw9Lv6GtsmONS2lFEeUvlKqHWK1xP4USSOiZysJCotTHbddhH5ACVhUyUz3TlKLukfFJGv05qco_K3EyLydv_q9hb9nr7EbydsD9HduC_j3beSQuuMt-tfz7_DflBOGXd_O-IHsVeLtZL5NKK78Ybmb9wcL8LOWR5ujA8jbYG1oCeTdcYufLyM9sv6EIiBTSyDtYLFYf2NXJj8vuZ5GTKRRels26cGibpQpTNO9IMWR03iJXspWzSkflnIAyVN6rGEPAAlGUQUaYOevRY_ToZ-yx7X7Zw0fGZWktQlwLC8h30IUBNfU6NI23ehqhnrDq4S8bn5XGKeHFwiTGUWozQGMIGpOhmbCjsdLNILTxfPFvBN9YlFSy0wvExeRJZxqYuhAFdliC1CIgN4vBOyG8Jh1FbOguYTl-JMM4YfsPg8HkGb0ydEAvRYXs8tPTtT6zV9TAYXtmn22vbzfwhb30f9fz1e1BGqz3_TTofw priority: 102 providerName: IEEE
Title	A Digital Twin-based Automatic Programming Method for Adaptive Control of Manufacturing Cells
URI	https://ieeexplore.ieee.org/document/9847215 https://www.proquest.com/docview/2700412164 https://doaj.org/article/8e3bdf13574e491d875fdcb11c996596
Volume	10
WOSCitedRecordID	wos000838622900001&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: PRVAON databaseName: Directory of Open Access Journals customDbUrl: eissn: 2169-3536 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000816957 issn: 2169-3536 databaseCode: DOA dateStart: 20130101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources customDbUrl: eissn: 2169-3536 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000816957 issn: 2169-3536 databaseCode: M~E dateStart: 20130101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre
link	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV07T8MwELYQYoAB8RTlJQ-MRMSJG-fGEEAMFDGAxIIsP1GlkiLawsZv5-yEqhISLCwZosvr7uL7vsT-jpATx5xLmSoSYXSZcO1FosDpBJTSBdYnAB1FXG_E7W35-Ah3C62-wpywVh64ddxZ6XJtPcv7gjsOzCK-9tZoxgwELbwotp0KWCBTcQwuWQF90ckMsRTOqrrGJ0JCmGXIU6EPoWHdQimKiv1di5Uf43IsNlcbZL1DibRq726TLLlmi6wtaAduk6eKXgyfQ8sPev8xbJJzLEeWVrPpOIqw0rt24tULGtNBbBNNEZ_SyqrXMMLRup2jTseeDlQzCwsc4opFWrvRaLJDHq4u7-vrpOuVkBieltNEY-nlwuZYvZFBcK-NQiqkMq0EeKE1c6nNjBHeW4sGnqWWe9fXyiAgNAgjdslyM27cHqE8VQojWDDlkM4gQnEiN2DL0ijIvSt6JPt2mzSdkHjoZzGSkVCkIFtfy-Br2fm6R07nB722Ohq_m5-HeMxNgwh23IGpIbvUkH-lRo9sh2jOTwLoIUQ4PXL4HV3ZvbATGf6_c5Yhedz_j0sfkNXwOO23mkOyPH2buSOyYt6nw8nbccxV3A4-L4_jisMvzpHtWw
linkProvider	Directory of Open Access Journals
linkToHtml	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1NbxMxELWqggQc-CqIQAEfOHbpeuPE6-OyUBWRRD0EqRdk-WOMIoVN1STw95nxuqtKICRuq5W9svfZnnm25w1j70AAlMJOC-VdXUgXVWE1uEJb66Zon7R2ScR1phaL-vJSXxywkyEWBgDS5TN4T4_pLD9s_J62yk41LqUVRZTfocxZOVpr2FGhFBJ6orK0kCj1adO22AskgVWF3FRPNCWpu2V-kkp_Tqvyx1qcDMzZo_9r2mP2MDuSvOmRf8IOoHvKHtySFzxi3xr-cfWdsoLw5a9VV5DFCrzZ7zZJp5Vf9HezfmBhPk-ZpDm6sLwJ9ooWQd7219j5JvK57fYUA5GCGnkL6_X2Gft69mnZnhc5nULhZVnvCofWWaowRgOPJENG5y2yJVs5q3RUzgkoQ-W9ijEELBBFGWSEibMefUaPnsZzdthtOnjBuCytRZCnwgIyHnRiQI29DnXtrR5HmI5YdfOXjc9a45TyYm0S5yi16aExBI3J0IzYyVDpqpfa-HfxDwTfUJR0stMLxMXkaWdqGLsQBXZYgtQiIDuLwTshvCYlRWzoEWE5fCTDOGLHN4PB5Dm9NXREL0WF_PLl32u9ZffOl_OZmX1efHnF7lNj-82aY3a4u97Da3bX_9ytttdv0sD9DT3r68g
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=A+Digital+Twin-Based+Automatic+Programming+Method+for+Adaptive+Control+of+Manufacturing+Cells&rft.jtitle=IEEE+access&rft.au=Zhang%2C+Chao&rft.au=Zhou%2C+Guanghui&rft.au=Jing%2C+Yanzhen&rft.au=Wang%2C+Rui&rft.date=2022&rft.issn=2169-3536&rft.eissn=2169-3536&rft.volume=10&rft.spage=80784&rft.epage=80793&rft_id=info:doi/10.1109%2FACCESS.2022.3195905&rft.externalDBID=n%2Fa&rft.externalDocID=10_1109_ACCESS_2022_3195905
thumbnail_l	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2169-3536&client=summon
thumbnail_m	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2169-3536&client=summon
thumbnail_s	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2169-3536&client=summon