Master data management for manufacturing big data: a method of evaluation for data network
Abstract In the process of manufacturing, a large amount of manufacturing data is produced by different departments and different domain. In order to realise data sharing and linkage among supply chains, master data management method has been used. Through master data management, the key data can be...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Zhao, Chun [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2019 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer Science+Business Media, LLC, part of Springer Nature 2019 |
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| Übergeordnetes Werk: |
Enthalten in: World wide web - Springer US, 1998, 23(2019), 2 vom: 16. Juli, Seite 1407-1421 |
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| Übergeordnetes Werk: |
volume:23 ; year:2019 ; number:2 ; day:16 ; month:07 ; pages:1407-1421 |
| Links: |
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| DOI / URN: |
10.1007/s11280-019-00707-8 |
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| 520 | |a Abstract In the process of manufacturing, a large amount of manufacturing data is produced by different departments and different domain. In order to realise data sharing and linkage among supply chains, master data management method has been used. Through master data management, the key data can be shared and distributed uniformly. However, since these cross-domain data form a data network through the association of master data, how to evaluate the effectiveness and rationality of this network becomes the major issue in the proposed method. In this paper, a model of the master data network is built based on the theory of set pair analysis. In order to verify the master data, an evaluation method for the network is proposed. Finally, a case was presented to validate this network model and evaluation method. | ||
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10.1007/s11280-019-00707-8 doi (DE-627)OLC2062252137 (DE-He213)s11280-019-00707-8-p DE-627 ger DE-627 rakwb eng 004 VZ 24,1 ssgn 54.84$jWebmanagement bkl 06.74$jInformationssysteme bkl Zhao, Chun verfasserin aut Master data management for manufacturing big data: a method of evaluation for data network 2019 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2019 Abstract In the process of manufacturing, a large amount of manufacturing data is produced by different departments and different domain. In order to realise data sharing and linkage among supply chains, master data management method has been used. Through master data management, the key data can be shared and distributed uniformly. However, since these cross-domain data form a data network through the association of master data, how to evaluate the effectiveness and rationality of this network becomes the major issue in the proposed method. In this paper, a model of the master data network is built based on the theory of set pair analysis. In order to verify the master data, an evaluation method for the network is proposed. Finally, a case was presented to validate this network model and evaluation method. Cloud manufacturing Master data Set pair analysis Modeling and simulation Ren, Lei aut Zhang, Ziqiao aut Meng, Zihao aut Enthalten in World wide web Springer US, 1998 23(2019), 2 vom: 16. Juli, Seite 1407-1421 (DE-627)301184976 (DE-600)1485096-5 (DE-576)9301184974 1386-145X nnns volume:23 year:2019 number:2 day:16 month:07 pages:1407-1421 https://doi.org/10.1007/s11280-019-00707-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-BUB SSG-OLC-MAT SSG-OPC-BBI GBV_ILN_70 54.84$jWebmanagement VZ 475288947 (DE-625)475288947 06.74$jInformationssysteme VZ 106415212 (DE-625)106415212 AR 23 2019 2 16 07 1407-1421 |
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10.1007/s11280-019-00707-8 doi (DE-627)OLC2062252137 (DE-He213)s11280-019-00707-8-p DE-627 ger DE-627 rakwb eng 004 VZ 24,1 ssgn 54.84$jWebmanagement bkl 06.74$jInformationssysteme bkl Zhao, Chun verfasserin aut Master data management for manufacturing big data: a method of evaluation for data network 2019 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2019 Abstract In the process of manufacturing, a large amount of manufacturing data is produced by different departments and different domain. In order to realise data sharing and linkage among supply chains, master data management method has been used. Through master data management, the key data can be shared and distributed uniformly. However, since these cross-domain data form a data network through the association of master data, how to evaluate the effectiveness and rationality of this network becomes the major issue in the proposed method. In this paper, a model of the master data network is built based on the theory of set pair analysis. In order to verify the master data, an evaluation method for the network is proposed. Finally, a case was presented to validate this network model and evaluation method. Cloud manufacturing Master data Set pair analysis Modeling and simulation Ren, Lei aut Zhang, Ziqiao aut Meng, Zihao aut Enthalten in World wide web Springer US, 1998 23(2019), 2 vom: 16. Juli, Seite 1407-1421 (DE-627)301184976 (DE-600)1485096-5 (DE-576)9301184974 1386-145X nnns volume:23 year:2019 number:2 day:16 month:07 pages:1407-1421 https://doi.org/10.1007/s11280-019-00707-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-BUB SSG-OLC-MAT SSG-OPC-BBI GBV_ILN_70 54.84$jWebmanagement VZ 475288947 (DE-625)475288947 06.74$jInformationssysteme VZ 106415212 (DE-625)106415212 AR 23 2019 2 16 07 1407-1421 |
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10.1007/s11280-019-00707-8 doi (DE-627)OLC2062252137 (DE-He213)s11280-019-00707-8-p DE-627 ger DE-627 rakwb eng 004 VZ 24,1 ssgn 54.84$jWebmanagement bkl 06.74$jInformationssysteme bkl Zhao, Chun verfasserin aut Master data management for manufacturing big data: a method of evaluation for data network 2019 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2019 Abstract In the process of manufacturing, a large amount of manufacturing data is produced by different departments and different domain. In order to realise data sharing and linkage among supply chains, master data management method has been used. Through master data management, the key data can be shared and distributed uniformly. However, since these cross-domain data form a data network through the association of master data, how to evaluate the effectiveness and rationality of this network becomes the major issue in the proposed method. In this paper, a model of the master data network is built based on the theory of set pair analysis. In order to verify the master data, an evaluation method for the network is proposed. Finally, a case was presented to validate this network model and evaluation method. Cloud manufacturing Master data Set pair analysis Modeling and simulation Ren, Lei aut Zhang, Ziqiao aut Meng, Zihao aut Enthalten in World wide web Springer US, 1998 23(2019), 2 vom: 16. Juli, Seite 1407-1421 (DE-627)301184976 (DE-600)1485096-5 (DE-576)9301184974 1386-145X nnns volume:23 year:2019 number:2 day:16 month:07 pages:1407-1421 https://doi.org/10.1007/s11280-019-00707-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-BUB SSG-OLC-MAT SSG-OPC-BBI GBV_ILN_70 54.84$jWebmanagement VZ 475288947 (DE-625)475288947 06.74$jInformationssysteme VZ 106415212 (DE-625)106415212 AR 23 2019 2 16 07 1407-1421 |
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Master data management for manufacturing big data: a method of evaluation for data network |
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Abstract In the process of manufacturing, a large amount of manufacturing data is produced by different departments and different domain. In order to realise data sharing and linkage among supply chains, master data management method has been used. Through master data management, the key data can be shared and distributed uniformly. However, since these cross-domain data form a data network through the association of master data, how to evaluate the effectiveness and rationality of this network becomes the major issue in the proposed method. In this paper, a model of the master data network is built based on the theory of set pair analysis. In order to verify the master data, an evaluation method for the network is proposed. Finally, a case was presented to validate this network model and evaluation method. © Springer Science+Business Media, LLC, part of Springer Nature 2019 |
| abstractGer |
Abstract In the process of manufacturing, a large amount of manufacturing data is produced by different departments and different domain. In order to realise data sharing and linkage among supply chains, master data management method has been used. Through master data management, the key data can be shared and distributed uniformly. However, since these cross-domain data form a data network through the association of master data, how to evaluate the effectiveness and rationality of this network becomes the major issue in the proposed method. In this paper, a model of the master data network is built based on the theory of set pair analysis. In order to verify the master data, an evaluation method for the network is proposed. Finally, a case was presented to validate this network model and evaluation method. © Springer Science+Business Media, LLC, part of Springer Nature 2019 |
| abstract_unstemmed |
Abstract In the process of manufacturing, a large amount of manufacturing data is produced by different departments and different domain. In order to realise data sharing and linkage among supply chains, master data management method has been used. Through master data management, the key data can be shared and distributed uniformly. However, since these cross-domain data form a data network through the association of master data, how to evaluate the effectiveness and rationality of this network becomes the major issue in the proposed method. In this paper, a model of the master data network is built based on the theory of set pair analysis. In order to verify the master data, an evaluation method for the network is proposed. Finally, a case was presented to validate this network model and evaluation method. © Springer Science+Business Media, LLC, part of Springer Nature 2019 |
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| title_short |
Master data management for manufacturing big data: a method of evaluation for data network |
| url |
https://doi.org/10.1007/s11280-019-00707-8 |
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| author2 |
Ren, Lei Zhang, Ziqiao Meng, Zihao |
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Ren, Lei Zhang, Ziqiao Meng, Zihao |
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| doi_str |
10.1007/s11280-019-00707-8 |
| up_date |
2024-07-03T14:22:06.882Z |
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7.402112 |