Abstract
The execution of cross-organization business processes often implies the exchange of physical goods without necessarily changing the ownership of such goods. Typical examples are logistic processes where goods are managed by shipping companies that are not the owner of the goods. To ensure that these goods are properly handled, while the service is executed, a monitoring system needs to be put in place.
The goal of this paper is to propose a novel approach for monitoring physical goods while executing cross-organization business processes. The approach envisions the usage of Smart Objects attached to the physical goods, or to their containers. To this aim, an extension of the Guard-Stage-Milestone framework is proposed to allow the Smart Objects to monitor the process execution and take into account the limitations of their power and computational resources.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
For the sake of clarity, we assume that BPMN is adopted as control-flow process modeling language. Other control-flow languages can be adopted without affecting the validity of the approach.
References
Hull, R., et al.: Introducing the guard-stage-milestone approach for specifying business entity lifecycles. In: Bravetti, M., Bultan, T. (eds.) WS-FM 2010. LNCS, vol. 6551, pp. 1–24. Springer, Heidelberg (2011)
Fortino, G., Trunfio, P.: Internet of Things Based on Smart Objects. Technology, Middleware and Applications. Springer, Heidelberg (2014)
Intel Corporation. http://www.intel.com/content/www/us/en/do-it-yourself/galileo-maker-quark-board.html
BeagleBoard.org. http://beagleboard.org
Decker, C., et al.: Cost-benefit model for smart items in the supply chain. In: Floerkemeier, C., Langheinrich, M., Fleisch, E., Mattern, F., Sarma, S.E. (eds.) IOT 2008. LNCS, vol. 4952, pp. 155–172. Springer, Heidelberg (2008)
Pesic, M., Schonenberg, H., Van der Aalst, W.M.: Declare: Full support for loosely-structured processes. In: Proceedings of the 11th International Enterprise Distributed Object Computing Conference, p. 287. IEEE (2007)
Meyer, S., Ruppen, A., Magerkurth, C.: Internet of things-aware process modeling: integrating iot devices as business process resources. In: Salinesi, C., Norrie, M.C., Pastor, Ó. (eds.) CAiSE 2013. LNCS, vol. 7908, pp. 84–98. Springer, Heidelberg (2013)
Thoma, M., Meyer, S., Sperner, K., Meissner, S., Braun, T.: On iot-services: Survey, classification and enterprise integration. In: IEEE International Conference on Green Computing and Communications, pp. 257–260 (2012)
Tranquillini, S., et al.: Process-based design and integration of wireless sensor network applications. In: Barros, A., Gal, A., Kindler, E. (eds.) BPM 2012. LNCS, vol. 7481, pp. 134–149. Springer, Heidelberg (2012)
Schief, M., Kuhn, C., Rsch, P., Stoitsev, T.: Enabling business process integration of iot-events to the benefit of sustainable logistics. Technical report, Darmstadt Technical University (2011)
Brizzi, P., Lotito, A., Ferrera, E., Conzon, D., Tomasi, R., Spirito, M.: Enhancing traceability and industrial process automation through the virtus middleware. In: Proceedings of Middleware 2011 Industry Track Workshop, ACM (2011)
Kunz, S., Fabian, B., Ziekow, H., Bade, D.: From smart objects to smarter workflows-an architectural approach. In: Proceedings of the 15th Workshops of Enterprise Distributed Object Computing, pp. 194–203. IEEE (2011)
Acknowledgments
This work has been partially funded by the Italian Project ITS Italy 2020 under the Technological National Clusters program.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Baresi, L., Meroni, G., Plebani, P. (2016). A GSM-based Approach for Monitoring Cross-Organization Business Processes Using Smart Objects. In: Reichert, M., Reijers, H. (eds) Business Process Management Workshops. BPM 2016. Lecture Notes in Business Information Processing, vol 256. Springer, Cham. https://doi.org/10.1007/978-3-319-42887-1_32
Download citation
DOI: https://doi.org/10.1007/978-3-319-42887-1_32
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-42886-4
Online ISBN: 978-3-319-42887-1
eBook Packages: Computer ScienceComputer Science (R0)