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Skubowius E, Korth B, Leveling J, Erler T, Prasse C, Schmidt M, Pieperbeck J, Wang G, Brinkmann F, Zupancic V (2022). Information modeling approach for integrated logistic services in supply chains ecosystems. Logistics Journal : nicht referierte Veröffentlichungen, Vol. 2022. (urn:nbn:de:0009-14-55058)

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%0 Journal Article
%T Information modeling approach for integrated logistic services in supply chains ecosystems
%A Skubowius, Emanuel
%A Korth, Benjamin
%A Leveling, Jens
%A Erler, Timo
%A Prasse, Christian
%A Schmidt, Michael
%A Pieperbeck, Johannes
%A Wang, Gong
%A Brinkmann, Filip-Martin
%A Zupancic, Vincent
%J Logistics Journal : nicht referierte Veröffentlichungen
%D 2022
%V 2022
%N 03
%@ 1860-5923
%F skubowius2022
%X This paper describes a procedure for generating information models for (hybrid) logistic services in horizontal value networks. The goal is to enable a fast integration of platform services via open source information models and to significantly reduce the coordination effort between individual partners in the supply chain. By publishing and sharing the free information models for the respective standard logistic functions, de facto standards are to be achieved. Through the joint development and adaptation of information models in a community, the development risk is shared and, depending on the size of the community, the quality, the accuracy of fit, and finally the acceptance are increased. After a basic introduction concerning collaborative logistic systems, the state of the art in science and technology for the addressed subsectors is described. Chapter 4 motivates the need for unified information models in the context of platform economy. The general solution approach is presented in Chapter 5, and the approach is exemplified in a use case in Chapter 6. A summary, a conclusion, and an outlook are presented in Chapter 7.
%L 620
%K B2B platforms
%K International Data Spaces
%K Silicon Economy
%K data economy
%K information model
%K logistics services
%K open source
%K platform economy
%R 10.2195/lj_NotRev_skubowius_en_202203_01
%U http://nbn-resolving.de/urn:nbn:de:0009-14-55058
%U http://dx.doi.org/10.2195/lj_NotRev_skubowius_en_202203_01

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@Article{skubowius2022,
  author = 	"Skubowius, Emanuel
		and Korth, Benjamin
		and Leveling, Jens
		and Erler, Timo
		and Prasse, Christian
		and Schmidt, Michael
		and Pieperbeck, Johannes
		and Wang, Gong
		and Brinkmann, Filip-Martin
		and Zupancic, Vincent",
  title = 	"Information modeling approach for integrated logistic services in supply chains ecosystems",
  journal = 	"Logistics Journal : nicht referierte Ver{\"o}ffentlichungen",
  year = 	"2022",
  volume = 	"2022",
  number = 	"03",
  keywords = 	"B2B platforms; International Data Spaces; Silicon Economy; data economy; information model; logistics services; open source; platform economy",
  abstract = 	"This paper describes a procedure for generating information models for (hybrid) logistic services in horizontal value networks. The goal is to enable a fast integration of platform services via open source information models and to significantly reduce the coordination effort between individual partners in the supply chain. By publishing and sharing the free information models for the respective standard logistic functions, de facto standards are to be achieved. Through the joint development and adaptation of information models in a community, the development risk is shared and, depending on the size of the community, the quality, the accuracy of fit, and finally the acceptance are increased. After a basic introduction concerning collaborative logistic systems, the state of the art in science and technology for the addressed subsectors is described. Chapter 4 motivates the need for unified information models in the context of platform economy. The general solution approach is presented in Chapter 5, and the approach is exemplified in a use case in Chapter 6. A summary, a conclusion, and an outlook are presented in Chapter 7.",
  issn = 	"1860-5923",
  doi = 	"10.2195/lj_NotRev_skubowius_en_202203_01",
  url = 	"http://nbn-resolving.de/urn:nbn:de:0009-14-55058"
}

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RIS

TY  - JOUR
AU  - Skubowius, Emanuel
AU  - Korth, Benjamin
AU  - Leveling, Jens
AU  - Erler, Timo
AU  - Prasse, Christian
AU  - Schmidt, Michael
AU  - Pieperbeck, Johannes
AU  - Wang, Gong
AU  - Brinkmann, Filip-Martin
AU  - Zupancic, Vincent
PY  - 2022
DA  - 2022//
TI  - Information modeling approach for integrated logistic services in supply chains ecosystems
JO  - Logistics Journal : nicht referierte Veröffentlichungen
VL  - 2022
IS  - 03
KW  - B2B platforms
KW  - International Data Spaces
KW  - Silicon Economy
KW  - data economy
KW  - information model
KW  - logistics services
KW  - open source
KW  - platform economy
AB  - This paper describes a procedure for generating information models for (hybrid) logistic services in horizontal value networks. The goal is to enable a fast integration of platform services via open source information models and to significantly reduce the coordination effort between individual partners in the supply chain. By publishing and sharing the free information models for the respective standard logistic functions, de facto standards are to be achieved. Through the joint development and adaptation of information models in a community, the development risk is shared and, depending on the size of the community, the quality, the accuracy of fit, and finally the acceptance are increased. After a basic introduction concerning collaborative logistic systems, the state of the art in science and technology for the addressed subsectors is described. Chapter 4 motivates the need for unified information models in the context of platform economy. The general solution approach is presented in Chapter 5, and the approach is exemplified in a use case in Chapter 6. A summary, a conclusion, and an outlook are presented in Chapter 7.
SN  - 1860-5923
UR  - http://nbn-resolving.de/urn:nbn:de:0009-14-55058
DO  - 10.2195/lj_NotRev_skubowius_en_202203_01
ID  - skubowius2022
ER  - 
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Wordbib

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ISI

PT Journal
AU Skubowius, E
   Korth, B
   Leveling, J
   Erler, T
   Prasse, C
   Schmidt, M
   Pieperbeck, J
   Wang, G
   Brinkmann, F
   Zupancic, V
TI Information modeling approach for integrated logistic services in supply chains ecosystems
SO Logistics Journal : nicht referierte Veröffentlichungen
PY 2022
VL 2022
IS 03
DI 10.2195/lj_NotRev_skubowius_en_202203_01
DE B2B platforms; International Data Spaces; Silicon Economy; data economy; information model; logistics services; open source; platform economy
AB This paper describes a procedure for generating information models for (hybrid) logistic services in horizontal value networks. The goal is to enable a fast integration of platform services via open source information models and to significantly reduce the coordination effort between individual partners in the supply chain. By publishing and sharing the free information models for the respective standard logistic functions, de facto standards are to be achieved. Through the joint development and adaptation of information models in a community, the development risk is shared and, depending on the size of the community, the quality, the accuracy of fit, and finally the acceptance are increased. After a basic introduction concerning collaborative logistic systems, the state of the art in science and technology for the addressed subsectors is described. Chapter 4 motivates the need for unified information models in the context of platform economy. The general solution approach is presented in Chapter 5, and the approach is exemplified in a use case in Chapter 6. A summary, a conclusion, and an outlook are presented in Chapter 7.
ER

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Mods

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  <titleInfo>
    <title>Information modeling approach for integrated logistic services in supply chains ecosystems</title>
  </titleInfo>
  <name type="personal">
    <namePart type="family">Skubowius</namePart>
    <namePart type="given">Emanuel</namePart>
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  <name type="personal">
    <namePart type="family">Korth</namePart>
    <namePart type="given">Benjamin</namePart>
  </name>
  <name type="personal">
    <namePart type="family">Leveling</namePart>
    <namePart type="given">Jens</namePart>
  </name>
  <name type="personal">
    <namePart type="family">Erler</namePart>
    <namePart type="given">Timo</namePart>
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  <name type="personal">
    <namePart type="family">Prasse</namePart>
    <namePart type="given">Christian</namePart>
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  <abstract>This paper describes a procedure for generating information models for (hybrid) logistic services in horizontal value networks. The goal is to enable a fast integration of platform services via open source information models and to significantly reduce the coordination effort between individual partners in the supply chain. By publishing and sharing the free information models for the respective standard logistic functions, de facto standards are to be achieved. Through the joint development and adaptation of information models in a community, the development risk is shared and, depending on the size of the community, the quality, the accuracy of fit, and finally the acceptance are increased. After a basic introduction concerning collaborative logistic systems, the state of the art in science and technology for the addressed subsectors is described. Chapter 4 motivates the need for unified information models in the context of platform economy. The general solution approach is presented in Chapter 5, and the approach is exemplified in a use case in Chapter 6. A summary, a conclusion, and an outlook are presented in Chapter 7.</abstract>
  <subject>
    <topic>B2B platforms</topic>
    <topic>International Data Spaces</topic>
    <topic>Silicon Economy</topic>
    <topic>data economy</topic>
    <topic>information model</topic>
    <topic>logistics services</topic>
    <topic>open source</topic>
    <topic>platform economy</topic>
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