Detecting EPCIS exceptions in linked traceability streams across supply chain business processes

Monika Solanki, Christopher Brewster

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The EPCIS specification provides an event oriented mechanism to record product movement information across stakeholders in supply chain business processes. Besides enabling the sharing of event-based traceability datasets, track and trace implementations must also be equipped with the capabilities to validate integrity constraints and detect runtime exceptions without compromising the time-to-deliver schedule of the shipping and receiving parties. In this paper we present a methodology for detecting exceptions arising during the processing of EPCIS event datasets. We propose an extension to the EEM ontology for modelling EPCIS exceptions and show how runtime exceptions can be detected and reported. We exemplify and evaluate our approach on an abstraction of pharmaceutical supply chains.

Original languageEnglish
Title of host publicationSEM '14 : proceedings of the 10th international conference on Semantic Systems
Place of PublicationNew York, NY (US)
PublisherACM
Pages24-31
Number of pages8
ISBN (Print)978-1-4503-2927-9
DOIs
Publication statusPublished - 4 Sep 2014
Event10th international conference on Semantic Systems - Leipzig, Germany
Duration: 4 Sep 20145 Sep 2014

Conference

Conference10th international conference on Semantic Systems
Abbreviated titleSEM '14
CountryGermany
CityLeipzig
Period4/09/145/09/14

Keywords

  • epcis
  • exceptions
  • linked data
  • pharmaceuticals
  • semantic web
  • stream processing
  • traceability

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  • Cite this

    Solanki, M., & Brewster, C. (2014). Detecting EPCIS exceptions in linked traceability streams across supply chain business processes. In SEM '14 : proceedings of the 10th international conference on Semantic Systems (pp. 24-31). ACM. https://doi.org/10.1145/2660517.2660524