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Towards Context-Aware Supervision for Logistics Asset Management: Concept Design and System Implementation

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Information Technology for Management: New Ideas and Real Solutions (ISM 2016, AITM 2016)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 277))

Abstract

Innovations of information and communication technology (ICT) open plenty opportunities to promote internal operation efficiency and external service level in logistics. As current logistics developments tend to be more complex in operation and large in scale, recent practices start to pay more attentions on improving asset (e.g. equipment and infrastructure) management performance with new ICT development. One of the primary concern is to improve system robustness and reliability. It not only requires the supervision system be capable of diagnosing the condition of the system, but also proficient to find the intrinsic relationship between different conditions and resources thus lead to an integrated decision making process. Moreover, recent ICT innovations, such as WSN and IOT, could record and deliver system descriptors (physical measurements, virtual resources, operational configurations) in real time. Such large-stream and heterogeneous data requires an integrated framework to process and management. To address such challenges, in this paper, a novel concept of context-aware supervision is proposed. An intelligent system with integration of semantic web and agent technology is developed, which aims at providing condition-monitoring and maintenance decisions to relevant user. A generic ontology-agent based framework will be illustrated. The developed system will be applied for the supervision of a large-scale material handling system-belt conveying system as a proof-of-concept.

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Notes

  1. 1.

    Protégé, http://protege.stanford.edu/.

  2. 2.

    Pallet, https://www.w3.org/2001/sw/wiki/Pellet.

  3. 3.

    JADE, https://jena.apache.org/.

  4. 4.

    FIPA, http://www.fipa.org/.

  5. 5.

    JENA, https://jena.apache.org/.

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Acknowledgement

This research is supported by the China Scholarship Council under Grant 201307720072.

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Authors and Affiliations

  1. Transport Engineering and Logistics, Delft University of Technology, Mekelweg 2, 2628 CD, Delft, The Netherlands

    Fan Feng, Yusong Pang & Gabriel Lodewijks

Authors
  1. Fan Feng
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  2. Yusong Pang
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  3. Gabriel Lodewijks
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Corresponding author

Correspondence to Fan Feng .

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Editors and Affiliations

  1. University of Economics in Katowice, Katowice, Poland

    Ewa Ziemba

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Feng, F., Pang, Y., Lodewijks, G. (2017). Towards Context-Aware Supervision for Logistics Asset Management: Concept Design and System Implementation. In: Ziemba, E. (eds) Information Technology for Management: New Ideas and Real Solutions. ISM AITM 2016 2016. Lecture Notes in Business Information Processing, vol 277. Springer, Cham. https://doi.org/10.1007/978-3-319-53076-5_1

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  • DOI: https://doi.org/10.1007/978-3-319-53076-5_1

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