Further expansion from Smart Manufacturing System (SMS) to Smart Manufacturing Implementation System (SMIS): industrial application scenarios and evaluation
Abstract Various countries in the world have issued policies on smart manufacturing and put forward relevant system architecture, including its hierarchy and component elements. However, from the perspective of implementation, it is necessary to further expand and study the relationship between the...
Ausführliche Beschreibung
Autor*in: |
Zhang, Xianyu [verfasserIn] |
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Englisch |
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2021 |
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Anmerkung: |
© The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2021 |
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Übergeordnetes Werk: |
Enthalten in: The international journal of advanced manufacturing technology - Springer London, 1985, 115(2021), 11-12 vom: 10. Juni, Seite 3791-3809 |
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Übergeordnetes Werk: |
volume:115 ; year:2021 ; number:11-12 ; day:10 ; month:06 ; pages:3791-3809 |
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DOI / URN: |
10.1007/s00170-021-07411-w |
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OLC212694798X |
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10.1007/s00170-021-07411-w doi (DE-627)OLC212694798X (DE-He213)s00170-021-07411-w-p DE-627 ger DE-627 rakwb eng 670 VZ Zhang, Xianyu verfasserin (orcid)0000-0002-8079-8280 aut Further expansion from Smart Manufacturing System (SMS) to Smart Manufacturing Implementation System (SMIS): industrial application scenarios and evaluation 2021 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2021 Abstract Various countries in the world have issued policies on smart manufacturing and put forward relevant system architecture, including its hierarchy and component elements. However, from the perspective of implementation, it is necessary to further expand and study the relationship between the elements of the framework and the specific application scenarios. The focus of this study is to plan the specific implementation schemes from top-level planning for industrial practice in smart manufacturing on the basis of existing resources, elements, foundations, environment, standards, and norms. In this paper, industrial application scenarios for Smart Manufacturing Implementation System (SMIS) are deduced through a framework of SMIS. Then, an evaluation method for SMIS using Fuzzy DEMATEL is proposed. This study can provide guidance for enterprises to implement the scheme and steps of smart manufacturing. In addition, the industrial scenarios of SMIS proposed in this paper can provide reference for enterprises’ top-level planning. Smart manufacturing Intelligent manufacturing Integrated system Smart Manufacturing System Ming, Xinguo aut Enthalten in The international journal of advanced manufacturing technology Springer London, 1985 115(2021), 11-12 vom: 10. Juni, Seite 3791-3809 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:115 year:2021 number:11-12 day:10 month:06 pages:3791-3809 https://doi.org/10.1007/s00170-021-07411-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_2018 GBV_ILN_2333 AR 115 2021 11-12 10 06 3791-3809 |
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10.1007/s00170-021-07411-w doi (DE-627)OLC212694798X (DE-He213)s00170-021-07411-w-p DE-627 ger DE-627 rakwb eng 670 VZ Zhang, Xianyu verfasserin (orcid)0000-0002-8079-8280 aut Further expansion from Smart Manufacturing System (SMS) to Smart Manufacturing Implementation System (SMIS): industrial application scenarios and evaluation 2021 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2021 Abstract Various countries in the world have issued policies on smart manufacturing and put forward relevant system architecture, including its hierarchy and component elements. However, from the perspective of implementation, it is necessary to further expand and study the relationship between the elements of the framework and the specific application scenarios. The focus of this study is to plan the specific implementation schemes from top-level planning for industrial practice in smart manufacturing on the basis of existing resources, elements, foundations, environment, standards, and norms. In this paper, industrial application scenarios for Smart Manufacturing Implementation System (SMIS) are deduced through a framework of SMIS. Then, an evaluation method for SMIS using Fuzzy DEMATEL is proposed. This study can provide guidance for enterprises to implement the scheme and steps of smart manufacturing. In addition, the industrial scenarios of SMIS proposed in this paper can provide reference for enterprises’ top-level planning. Smart manufacturing Intelligent manufacturing Integrated system Smart Manufacturing System Ming, Xinguo aut Enthalten in The international journal of advanced manufacturing technology Springer London, 1985 115(2021), 11-12 vom: 10. Juni, Seite 3791-3809 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:115 year:2021 number:11-12 day:10 month:06 pages:3791-3809 https://doi.org/10.1007/s00170-021-07411-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_2018 GBV_ILN_2333 AR 115 2021 11-12 10 06 3791-3809 |
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10.1007/s00170-021-07411-w doi (DE-627)OLC212694798X (DE-He213)s00170-021-07411-w-p DE-627 ger DE-627 rakwb eng 670 VZ Zhang, Xianyu verfasserin (orcid)0000-0002-8079-8280 aut Further expansion from Smart Manufacturing System (SMS) to Smart Manufacturing Implementation System (SMIS): industrial application scenarios and evaluation 2021 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2021 Abstract Various countries in the world have issued policies on smart manufacturing and put forward relevant system architecture, including its hierarchy and component elements. However, from the perspective of implementation, it is necessary to further expand and study the relationship between the elements of the framework and the specific application scenarios. The focus of this study is to plan the specific implementation schemes from top-level planning for industrial practice in smart manufacturing on the basis of existing resources, elements, foundations, environment, standards, and norms. In this paper, industrial application scenarios for Smart Manufacturing Implementation System (SMIS) are deduced through a framework of SMIS. Then, an evaluation method for SMIS using Fuzzy DEMATEL is proposed. This study can provide guidance for enterprises to implement the scheme and steps of smart manufacturing. In addition, the industrial scenarios of SMIS proposed in this paper can provide reference for enterprises’ top-level planning. Smart manufacturing Intelligent manufacturing Integrated system Smart Manufacturing System Ming, Xinguo aut Enthalten in The international journal of advanced manufacturing technology Springer London, 1985 115(2021), 11-12 vom: 10. Juni, Seite 3791-3809 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:115 year:2021 number:11-12 day:10 month:06 pages:3791-3809 https://doi.org/10.1007/s00170-021-07411-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_2018 GBV_ILN_2333 AR 115 2021 11-12 10 06 3791-3809 |
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10.1007/s00170-021-07411-w doi (DE-627)OLC212694798X (DE-He213)s00170-021-07411-w-p DE-627 ger DE-627 rakwb eng 670 VZ Zhang, Xianyu verfasserin (orcid)0000-0002-8079-8280 aut Further expansion from Smart Manufacturing System (SMS) to Smart Manufacturing Implementation System (SMIS): industrial application scenarios and evaluation 2021 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2021 Abstract Various countries in the world have issued policies on smart manufacturing and put forward relevant system architecture, including its hierarchy and component elements. However, from the perspective of implementation, it is necessary to further expand and study the relationship between the elements of the framework and the specific application scenarios. The focus of this study is to plan the specific implementation schemes from top-level planning for industrial practice in smart manufacturing on the basis of existing resources, elements, foundations, environment, standards, and norms. In this paper, industrial application scenarios for Smart Manufacturing Implementation System (SMIS) are deduced through a framework of SMIS. Then, an evaluation method for SMIS using Fuzzy DEMATEL is proposed. This study can provide guidance for enterprises to implement the scheme and steps of smart manufacturing. In addition, the industrial scenarios of SMIS proposed in this paper can provide reference for enterprises’ top-level planning. Smart manufacturing Intelligent manufacturing Integrated system Smart Manufacturing System Ming, Xinguo aut Enthalten in The international journal of advanced manufacturing technology Springer London, 1985 115(2021), 11-12 vom: 10. Juni, Seite 3791-3809 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:115 year:2021 number:11-12 day:10 month:06 pages:3791-3809 https://doi.org/10.1007/s00170-021-07411-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_2018 GBV_ILN_2333 AR 115 2021 11-12 10 06 3791-3809 |
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Abstract Various countries in the world have issued policies on smart manufacturing and put forward relevant system architecture, including its hierarchy and component elements. However, from the perspective of implementation, it is necessary to further expand and study the relationship between the elements of the framework and the specific application scenarios. The focus of this study is to plan the specific implementation schemes from top-level planning for industrial practice in smart manufacturing on the basis of existing resources, elements, foundations, environment, standards, and norms. In this paper, industrial application scenarios for Smart Manufacturing Implementation System (SMIS) are deduced through a framework of SMIS. Then, an evaluation method for SMIS using Fuzzy DEMATEL is proposed. This study can provide guidance for enterprises to implement the scheme and steps of smart manufacturing. In addition, the industrial scenarios of SMIS proposed in this paper can provide reference for enterprises’ top-level planning. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2021 |
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Abstract Various countries in the world have issued policies on smart manufacturing and put forward relevant system architecture, including its hierarchy and component elements. However, from the perspective of implementation, it is necessary to further expand and study the relationship between the elements of the framework and the specific application scenarios. The focus of this study is to plan the specific implementation schemes from top-level planning for industrial practice in smart manufacturing on the basis of existing resources, elements, foundations, environment, standards, and norms. In this paper, industrial application scenarios for Smart Manufacturing Implementation System (SMIS) are deduced through a framework of SMIS. Then, an evaluation method for SMIS using Fuzzy DEMATEL is proposed. This study can provide guidance for enterprises to implement the scheme and steps of smart manufacturing. In addition, the industrial scenarios of SMIS proposed in this paper can provide reference for enterprises’ top-level planning. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2021 |
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Abstract Various countries in the world have issued policies on smart manufacturing and put forward relevant system architecture, including its hierarchy and component elements. However, from the perspective of implementation, it is necessary to further expand and study the relationship between the elements of the framework and the specific application scenarios. The focus of this study is to plan the specific implementation schemes from top-level planning for industrial practice in smart manufacturing on the basis of existing resources, elements, foundations, environment, standards, and norms. In this paper, industrial application scenarios for Smart Manufacturing Implementation System (SMIS) are deduced through a framework of SMIS. Then, an evaluation method for SMIS using Fuzzy DEMATEL is proposed. This study can provide guidance for enterprises to implement the scheme and steps of smart manufacturing. In addition, the industrial scenarios of SMIS proposed in this paper can provide reference for enterprises’ top-level planning. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2021 |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">OLC212694798X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230505122801.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">230505s2021 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s00170-021-07411-w</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC212694798X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s00170-021-07411-w-p</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">670</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Zhang, Xianyu</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(orcid)0000-0002-8079-8280</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Further expansion from Smart Manufacturing System (SMS) to Smart Manufacturing Implementation System (SMIS): industrial application scenarios and evaluation</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2021</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2021</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Various countries in the world have issued policies on smart manufacturing and put forward relevant system architecture, including its hierarchy and component elements. However, from the perspective of implementation, it is necessary to further expand and study the relationship between the elements of the framework and the specific application scenarios. The focus of this study is to plan the specific implementation schemes from top-level planning for industrial practice in smart manufacturing on the basis of existing resources, elements, foundations, environment, standards, and norms. In this paper, industrial application scenarios for Smart Manufacturing Implementation System (SMIS) are deduced through a framework of SMIS. Then, an evaluation method for SMIS using Fuzzy DEMATEL is proposed. This study can provide guidance for enterprises to implement the scheme and steps of smart manufacturing. In addition, the industrial scenarios of SMIS proposed in this paper can provide reference for enterprises’ top-level planning.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Smart manufacturing</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Intelligent manufacturing</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Integrated system</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Smart Manufacturing System</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ming, Xinguo</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">The international journal of advanced manufacturing technology</subfield><subfield code="d">Springer London, 1985</subfield><subfield code="g">115(2021), 11-12 vom: 10. 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