Quotation Meroni, Giovanni, Di Ciccio, Claudio, Mendling, Jan. 2017. An Artifact-Driven Approach to Monitor Business Processes Through Real-World Objects. In Service-Oriented Computing - 15th International Conference, ICSOC 2017, Hrsg. E. Michael Maximilien, Antonio Vallecillo, Jianmin Wang, Marc Oriol, 297-313. Malaga, Spain: Springer.


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Abstract

Nowadays, many business processes once intra-organizational are becoming inter-organizational. Thus, being able to monitor how such processes are performed, including portions carried out by service providers, is paramount. Yet, traditional process monitoring techniques present some shortcomings when dealing with inter-organizational processes. In particular, they require human operators to notify when business activities are performed, and to stop the process when it is not executed as expected. In this paper, we address these issues by proposing an artifact-driven monitoring service, capable of autonomously and continuously monitor inter-organizational processes. To do so, this service relies on the state of the artifacts (i.e., physical entities) participating to the process, represented using the E-GSM notation. A working prototype of this service is presented and validated using real-world processes and data from the logistics domain.

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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Contribution to conference proceedings
Language English
Title An Artifact-Driven Approach to Monitor Business Processes Through Real-World Objects
Title of whole publication Service-Oriented Computing - 15th International Conference, ICSOC 2017
Editor E. Michael Maximilien, Antonio Vallecillo, Jianmin Wang, Marc Oriol
Page from 297
Page to 313
Location Malaga, Spain
Publisher Springer
Year 2017
URL https://doi.org/10.1007/978-3-319-69035-3_21

Associations

People
Di Ciccio, Claudio (Former researcher)
Mendling, Jan (Details)
External
Meroni, Giovanni (Politecnico di Milano, Italy)
Organization
Applied Information Technology with Focus on IT in Organization (Details)
Research areas (Ă–STAT Classification 'Statistik Austria')
1105 Computer software (Details)
1108 Informatics (Details)
1109 Information and data processing (Details)
1112 Logistics (Details)
5306 Business data processing (Details)
5367 Management information systems (Details)
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