Construction management can be grouped into two different levels: strategic early planning, that provides the baseline for project monitoring, and short time initiatives, based on objectives and selforganization from actors who are involved in on-site processes. This is currently managed through the representation of many separate processes and this does not eliminate the inefficiencies that arise at the level of synchronization of the individual tasks performed by different organizations. Efficiency in construction management implies to take into consideration choreographies because they better reflect synchronization of different organizations management processes. On the other hand, smart contracts linked to single task execution assure both promptness and irreversible tracking at single task level. The actual execution of processes depends both on what happens and on the information that flows between the subjects who actually carry out processes asynchronous to each other, so the only possibility to synchronize them is information. This research describes a framework for applying BPMN choreographies to construction site processes in order to better model processes and integrate them with smart contracts. Every single activity in the baseline can be modelled as a choreography at a lower level. On the other hand, process performance monitoring can be performed thanks to blockchain tasks notarization. Concrete casting quality assessment process has been chosen as use case. A BPMN choreography has been defined for this purpose and blockchain application for accomplished tasks and information notarization has been developed and tested on a construction site.

Alessandra Corneli, F.S. (2021). A Smart Contract-based BPMN Choreography Execution for Management of Construction Processes. International Association on Automation and Robotics in Construction [10.22260/ISARC2021/0118].

A Smart Contract-based BPMN Choreography Execution for Management of Construction Processes

Marco Alvise Bragadin;
2021

Abstract

Construction management can be grouped into two different levels: strategic early planning, that provides the baseline for project monitoring, and short time initiatives, based on objectives and selforganization from actors who are involved in on-site processes. This is currently managed through the representation of many separate processes and this does not eliminate the inefficiencies that arise at the level of synchronization of the individual tasks performed by different organizations. Efficiency in construction management implies to take into consideration choreographies because they better reflect synchronization of different organizations management processes. On the other hand, smart contracts linked to single task execution assure both promptness and irreversible tracking at single task level. The actual execution of processes depends both on what happens and on the information that flows between the subjects who actually carry out processes asynchronous to each other, so the only possibility to synchronize them is information. This research describes a framework for applying BPMN choreographies to construction site processes in order to better model processes and integrate them with smart contracts. Every single activity in the baseline can be modelled as a choreography at a lower level. On the other hand, process performance monitoring can be performed thanks to blockchain tasks notarization. Concrete casting quality assessment process has been chosen as use case. A BPMN choreography has been defined for this purpose and blockchain application for accomplished tasks and information notarization has been developed and tested on a construction site.
2021
Proceedings of the 38th International Symposium on Automation and Robotics in Construction
872
879
Alessandra Corneli, F.S. (2021). A Smart Contract-based BPMN Choreography Execution for Management of Construction Processes. International Association on Automation and Robotics in Construction [10.22260/ISARC2021/0118].
Alessandra Corneli, Francesco Spegni, Marco Alvise Bragadin, Massimo Vaccarini
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/880419
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