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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_01Download
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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" }Download
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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 -Download
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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. ERDownload
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<mods> <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> </name> <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> </name> <name type="personal"> <namePart type="family">Prasse</namePart> <namePart type="given">Christian</namePart> </name> <name type="personal"> <namePart type="family">Schmidt</namePart> <namePart type="given">Michael</namePart> </name> <name type="personal"> <namePart type="family">Pieperbeck</namePart> <namePart type="given">Johannes</namePart> </name> <name type="personal"> <namePart type="family">Wang</namePart> <namePart type="given">Gong</namePart> </name> <name type="personal"> <namePart type="family">Brinkmann</namePart> <namePart type="given">Filip-Martin</namePart> </name> <name type="personal"> <namePart type="family">Zupancic</namePart> <namePart type="given">Vincent</namePart> </name> <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> </subject> <classification authority="ddc">620</classification> <relatedItem type="host"> <genre authority="marcgt">periodical</genre> <genre>academic journal</genre> <titleInfo> <title>Logistics Journal : nicht referierte Veröffentlichungen</title> </titleInfo> <part> <detail type="volume"> <number>2022</number> </detail> <detail type="issue"> <number>03</number> </detail> <date>2022</date> </part> </relatedItem> <identifier type="issn">1860-5923</identifier> <identifier type="urn">urn:nbn:de:0009-14-55058</identifier> <identifier type="doi">10.2195/lj_NotRev_skubowius_en_202203_01</identifier> <identifier type="uri">http://nbn-resolving.de/urn:nbn:de:0009-14-55058</identifier> <identifier type="citekey">skubowius2022</identifier> </mods>Download
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Bibliographic Citation | Logistics Journal : referierte Veröffentlichungen, Vol. 2022, Iss. 03 |
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Title |
Information modeling approach for integrated logistic services in supply chains ecosystems (eng) |
Author | Emanuel Skubowius, Benjamin Korth, Jens Leveling, Timo Erler, Christian Prasse, Michael Schmidt, Johannes Pieperbeck, Gong Wang, Filip-Martin Brinkmann, Vincent Zupancic |
Language | eng |
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. Dieser Beitrag beschreibt eine Vorgehensweise zur Generierung von Informationsmodellen für (hybride) logistische Dienstleitungen in horizontalen Wertschöpfungsnetzwerken. Ziel ist es dabei, über Open Source Informationsmodelle eine schnelle Integration von Plattformservices zu ermöglichen und den Abstimmungsaufwand zwischen einzelnen Partnern in der Supply Chain signifikant zu reduzieren. Über die Veröffentlichung und das kostenfreie Teilen der Informationsmodelle für die jeweiligen logistischen Standardfunktionen, sollen De-facto-Standards erreicht werden. Durch das gemeinsame Entwickeln und Adaptieren der Informationsmodelle in einer Community wird zum einen das Entwicklungsrisiko geteilt und zum anderen, je nach Größe der Community, werden die Qualität, die Passgenauigkeit und schließlich die Akzeptanz erhöht. Nach einer grundsätzlichen Einführung in das Thema Kollaborative Logistiksysteme wird der Stand der Wissenschaft und Technik für die adressierten Teilbereiche beschrieben. In Kapitel 4 wird die Notwendigkeit von einheitlichen Informationsmodellen im Kontext der Plattformökonomie motiviert. Die Vorstellung des generellen Lösungsansatzes erfolgt in Kapitel 5. Der Ansatz wird in Kapitel 6 durch einen Use Case beispielhaft beschrieben. Eine Zusammenfassung, ein Fazit und ein Ausblick erfolgen in Kapitel 7. |
Subject | B2B platforms, International Data Spaces, Silicon Economy, data economy, information model, logistics services, open source, platform economy |
DDC | 620 |
Rights | DPPL |
URN: | urn:nbn:de:0009-14-55058 |
DOI | https://doi.org/10.2195/lj_NotRev_skubowius_en_202203_01 |