An architecture and common data model for open data-based cargo-tracking in synchromodal logistics

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (Scopus)
30 Downloads (Pure)

Abstract

In logistics, questions as “Where is my container?‿ and “When does my container arrive?‿ can often not be answered with sufficient precision, which restricts the ability of logistics service providers to be efficient. Since logistics is complex and often involves multiple transportation modes and carriers, improving efficiency and saving costs in the supply chain requires communication between the different parties and the usage of real-time data is critical. Currently, logistics service providers (LSPs) use real-time data to a very limited extent, mainly for tracking the progress of a specific part of a given shipment. This data is retrieved manually from a number of websites and sharing with other actors is not even considered. This leads to lack of end-to end visibility and delays in planning. This research proposes an architecture and a common data model for an integration platform that allows the automated collection of real time container tracking data enabling LSPs to plan more efficient. Currently, there is no common data model available that contains all the information required and enables LSPs to track their shipments real-time. The common data model is designed via a bottom-up approach using results of interviews, observations at different logistics service providers, analyses of open data on websites, and serves the information needs of the business processes involving such data. The model is also validated against industry standards. Based on the proposed architecture a prototype was built that is tested in real operating conditions with a fourth party logistics company.
Original languageUndefined
Title of host publicationOn the Move to Meaningful Internet Systems: OTM 2016 Conferences
EditorsChristophe Debruyne, Hervé Panetto, Robert Meersman, Tharam Dillon, Eva Kuehn, Declan O'Sullivan, Claudio Agostino Ardagna
Place of PublicationSwitzerland
PublisherSpringer
Pages327-343
Number of pages17
ISBN (Print)9783319484716
DOIs
Publication statusPublished - Oct 2016

Publication series

NameLecture notes in computer science
PublisherSpringer International Publishing
Volume10033
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Keywords

  • METIS-319462
  • IR-102546
  • SCS-Services
  • EWI-27318
  • Open data
  • Synchromodal logistics
  • Web scraping
  • Integration platform
  • Common data model

Cite this

Bol Raap, W., Iacob, M. E., van Sinderen, M. J., & Piest, S. (2016). An architecture and common data model for open data-based cargo-tracking in synchromodal logistics. In C. Debruyne, H. Panetto, R. Meersman, T. Dillon, E. Kuehn, D. O'Sullivan, & C. Agostino Ardagna (Eds.), On the Move to Meaningful Internet Systems: OTM 2016 Conferences (pp. 327-343). (Lecture notes in computer science; Vol. 10033). Switzerland: Springer. https://doi.org/10.1007/978-3-319-48472-3_19
Bol Raap, Wouter ; Iacob, Maria Eugenia ; van Sinderen, Marten J. ; Piest, Sebastian. / An architecture and common data model for open data-based cargo-tracking in synchromodal logistics. On the Move to Meaningful Internet Systems: OTM 2016 Conferences. editor / Christophe Debruyne ; Hervé Panetto ; Robert Meersman ; Tharam Dillon ; Eva Kuehn ; Declan O'Sullivan ; Claudio Agostino Ardagna. Switzerland : Springer, 2016. pp. 327-343 (Lecture notes in computer science).
@inproceedings{fac4effdbd784895b08d9369e7531676,
title = "An architecture and common data model for open data-based cargo-tracking in synchromodal logistics",
abstract = "In logistics, questions as “Where is my container?‿ and “When does my container arrive?‿ can often not be answered with sufficient precision, which restricts the ability of logistics service providers to be efficient. Since logistics is complex and often involves multiple transportation modes and carriers, improving efficiency and saving costs in the supply chain requires communication between the different parties and the usage of real-time data is critical. Currently, logistics service providers (LSPs) use real-time data to a very limited extent, mainly for tracking the progress of a specific part of a given shipment. This data is retrieved manually from a number of websites and sharing with other actors is not even considered. This leads to lack of end-to end visibility and delays in planning. This research proposes an architecture and a common data model for an integration platform that allows the automated collection of real time container tracking data enabling LSPs to plan more efficient. Currently, there is no common data model available that contains all the information required and enables LSPs to track their shipments real-time. The common data model is designed via a bottom-up approach using results of interviews, observations at different logistics service providers, analyses of open data on websites, and serves the information needs of the business processes involving such data. The model is also validated against industry standards. Based on the proposed architecture a prototype was built that is tested in real operating conditions with a fourth party logistics company.",
keywords = "METIS-319462, IR-102546, SCS-Services, EWI-27318, Open data, Synchromodal logistics, Web scraping, Integration platform, Common data model",
author = "{Bol Raap}, Wouter and Iacob, {Maria Eugenia} and {van Sinderen}, {Marten J.} and Sebastian Piest",
note = "eemcs-eprint-27318",
year = "2016",
month = "10",
doi = "10.1007/978-3-319-48472-3_19",
language = "Undefined",
isbn = "9783319484716",
series = "Lecture notes in computer science",
publisher = "Springer",
pages = "327--343",
editor = "Christophe Debruyne and Herv{\'e} Panetto and Robert Meersman and Tharam Dillon and Eva Kuehn and Declan O'Sullivan and {Agostino Ardagna}, Claudio",
booktitle = "On the Move to Meaningful Internet Systems: OTM 2016 Conferences",

}

Bol Raap, W, Iacob, ME, van Sinderen, MJ & Piest, S 2016, An architecture and common data model for open data-based cargo-tracking in synchromodal logistics. in C Debruyne, H Panetto, R Meersman, T Dillon, E Kuehn, D O'Sullivan & C Agostino Ardagna (eds), On the Move to Meaningful Internet Systems: OTM 2016 Conferences. Lecture notes in computer science, vol. 10033, Springer, Switzerland, pp. 327-343. https://doi.org/10.1007/978-3-319-48472-3_19

An architecture and common data model for open data-based cargo-tracking in synchromodal logistics. / Bol Raap, Wouter; Iacob, Maria Eugenia; van Sinderen, Marten J.; Piest, Sebastian.

On the Move to Meaningful Internet Systems: OTM 2016 Conferences. ed. / Christophe Debruyne; Hervé Panetto; Robert Meersman; Tharam Dillon; Eva Kuehn; Declan O'Sullivan; Claudio Agostino Ardagna. Switzerland : Springer, 2016. p. 327-343 (Lecture notes in computer science; Vol. 10033).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

TY - GEN

T1 - An architecture and common data model for open data-based cargo-tracking in synchromodal logistics

AU - Bol Raap, Wouter

AU - Iacob, Maria Eugenia

AU - van Sinderen, Marten J.

AU - Piest, Sebastian

N1 - eemcs-eprint-27318

PY - 2016/10

Y1 - 2016/10

N2 - In logistics, questions as “Where is my container?‿ and “When does my container arrive?‿ can often not be answered with sufficient precision, which restricts the ability of logistics service providers to be efficient. Since logistics is complex and often involves multiple transportation modes and carriers, improving efficiency and saving costs in the supply chain requires communication between the different parties and the usage of real-time data is critical. Currently, logistics service providers (LSPs) use real-time data to a very limited extent, mainly for tracking the progress of a specific part of a given shipment. This data is retrieved manually from a number of websites and sharing with other actors is not even considered. This leads to lack of end-to end visibility and delays in planning. This research proposes an architecture and a common data model for an integration platform that allows the automated collection of real time container tracking data enabling LSPs to plan more efficient. Currently, there is no common data model available that contains all the information required and enables LSPs to track their shipments real-time. The common data model is designed via a bottom-up approach using results of interviews, observations at different logistics service providers, analyses of open data on websites, and serves the information needs of the business processes involving such data. The model is also validated against industry standards. Based on the proposed architecture a prototype was built that is tested in real operating conditions with a fourth party logistics company.

AB - In logistics, questions as “Where is my container?‿ and “When does my container arrive?‿ can often not be answered with sufficient precision, which restricts the ability of logistics service providers to be efficient. Since logistics is complex and often involves multiple transportation modes and carriers, improving efficiency and saving costs in the supply chain requires communication between the different parties and the usage of real-time data is critical. Currently, logistics service providers (LSPs) use real-time data to a very limited extent, mainly for tracking the progress of a specific part of a given shipment. This data is retrieved manually from a number of websites and sharing with other actors is not even considered. This leads to lack of end-to end visibility and delays in planning. This research proposes an architecture and a common data model for an integration platform that allows the automated collection of real time container tracking data enabling LSPs to plan more efficient. Currently, there is no common data model available that contains all the information required and enables LSPs to track their shipments real-time. The common data model is designed via a bottom-up approach using results of interviews, observations at different logistics service providers, analyses of open data on websites, and serves the information needs of the business processes involving such data. The model is also validated against industry standards. Based on the proposed architecture a prototype was built that is tested in real operating conditions with a fourth party logistics company.

KW - METIS-319462

KW - IR-102546

KW - SCS-Services

KW - EWI-27318

KW - Open data

KW - Synchromodal logistics

KW - Web scraping

KW - Integration platform

KW - Common data model

U2 - 10.1007/978-3-319-48472-3_19

DO - 10.1007/978-3-319-48472-3_19

M3 - Conference contribution

SN - 9783319484716

T3 - Lecture notes in computer science

SP - 327

EP - 343

BT - On the Move to Meaningful Internet Systems: OTM 2016 Conferences

A2 - Debruyne, Christophe

A2 - Panetto, Hervé

A2 - Meersman, Robert

A2 - Dillon, Tharam

A2 - Kuehn, Eva

A2 - O'Sullivan, Declan

A2 - Agostino Ardagna, Claudio

PB - Springer

CY - Switzerland

ER -

Bol Raap W, Iacob ME, van Sinderen MJ, Piest S. An architecture and common data model for open data-based cargo-tracking in synchromodal logistics. In Debruyne C, Panetto H, Meersman R, Dillon T, Kuehn E, O'Sullivan D, Agostino Ardagna C, editors, On the Move to Meaningful Internet Systems: OTM 2016 Conferences. Switzerland: Springer. 2016. p. 327-343. (Lecture notes in computer science). https://doi.org/10.1007/978-3-319-48472-3_19