This paper investigates the interactions between agent-based modeling and process mining, which is an increasingly widespread applied discipline in the context of business process management. In particular, we explore a practical “green BPM” perspective. We propose a simulation approach to describe the environmental effects of two different health policy strategies: the hospital scenario and the home hospitalisation scenario. Furthermore, we demonstrate the application of process discovery techniques from an ‘event log’ obtained from an agent-based simulation. As a case study, we propose the home hospitalisation service of a hospital in Turin. The traditional hospital-centred care scenario shows how much pollution is produced, compared to the scenario with the same number of patients treated at home. Finally, we describe how discovering processes from event logs opens the way to improving the organisation’s service management.

Agent-Based Simulations and Process Mining: A Green BPM Case Study

Sulis E.
2023-01-01

Abstract

This paper investigates the interactions between agent-based modeling and process mining, which is an increasingly widespread applied discipline in the context of business process management. In particular, we explore a practical “green BPM” perspective. We propose a simulation approach to describe the environmental effects of two different health policy strategies: the hospital scenario and the home hospitalisation scenario. Furthermore, we demonstrate the application of process discovery techniques from an ‘event log’ obtained from an agent-based simulation. As a case study, we propose the home hospitalisation service of a hospital in Turin. The traditional hospital-centred care scenario shows how much pollution is produced, compared to the scenario with the same number of patients treated at home. Finally, we describe how discovering processes from event logs opens the way to improving the organisation’s service management.
2023
17th annual conference of European Social Simulation Association, ESSA 2022
Milan
2022
Springer Proceedings in Complexity
Springer Science and Business Media B.V.
337
344
9783031349195
9783031349201
Agent-based modeling; Event-logs; Process mining
Sulis E.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/2122335
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