Abstract
Original language | English |
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Title of host publication | Enterprise Interoperability |
Subtitle of host publication | Smart Services and Business Impact of Enterprise Interoperability |
Editors | Martin Zelm, Frank-Walter Jaekel, Guy Doumeingts, Martin Wollschlaeger |
Publisher | Wiley |
Chapter | 23 |
Pages | 187-192 |
Number of pages | 6 |
ISBN (Print) | 9781786303738 |
Publication status | Published - Oct 2018 |
Event | Interoperability for Enterprise Systems and Applications 2018 - Berlin, Germany Duration: 22 Mar 2018 → 23 Mar 2018 http://iesa2018.ipk.fraunhofer.de/4941/ |
Conference
Conference | Interoperability for Enterprise Systems and Applications 2018 |
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Abbreviated title | I-ESA 2018 |
Country | Germany |
City | Berlin |
Period | 22/03/18 → 23/03/18 |
Internet address |
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SmTIP : A Big Data Intergration Platform for Synchromodal Transport. / Singh, Prince M.; van Sinderen, Marten; Wieringa, Roel.
Enterprise Interoperability: Smart Services and Business Impact of Enterprise Interoperability. ed. / Martin Zelm; Frank-Walter Jaekel; Guy Doumeingts; Martin Wollschlaeger. Wiley, 2018. p. 187-192.Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review
TY - CHAP
T1 - SmTIP
T2 - A Big Data Intergration Platform for Synchromodal Transport
AU - Singh, Prince M.
AU - van Sinderen, Marten
AU - Wieringa, Roel
PY - 2018/10
Y1 - 2018/10
N2 - This chapter reports on the design of an interaction platform that supports the collection and analysis of third-party, real-time data for the dynamic planning of cargo transportation. Especially, flexible allocation of cargo to transplantation modes and routes is targeted, also known as synchromodal transportation. A prototype of the integration platform was developed, including a user interface for planners, to support them in decision-making by providing information about potential disruptions of planned or ongoing shipments. Potential disruptions are detected by analysis of data received from one or more live data sources.
AB - This chapter reports on the design of an interaction platform that supports the collection and analysis of third-party, real-time data for the dynamic planning of cargo transportation. Especially, flexible allocation of cargo to transplantation modes and routes is targeted, also known as synchromodal transportation. A prototype of the integration platform was developed, including a user interface for planners, to support them in decision-making by providing information about potential disruptions of planned or ongoing shipments. Potential disruptions are detected by analysis of data received from one or more live data sources.
M3 - Chapter
SN - 9781786303738
SP - 187
EP - 192
BT - Enterprise Interoperability
A2 - Zelm, Martin
A2 - Jaekel, Frank-Walter
A2 - Doumeingts, Guy
A2 - Wollschlaeger, Martin
PB - Wiley
ER -