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- W4297798654 abstract "Reducing cycle time is a recurrent concern in the field of business process management. Depending on the process, various interventions may be triggered to reduce the cycle time of a case, for example, using a faster shipping service in an order-to-delivery process or giving a phone call to a customer to obtain missing information rather than waiting passively. Each of these interventions comes with a cost. This paper tackles the problem of determining if and when to trigger a time-reducing intervention in a way that maximizes the total net gain. The paper proposes a prescriptive process monitoring method that uses orthogonal random forest models to estimate the causal effect of triggering a time-reducing intervention for each ongoing case of a process. Based on this causal effect estimate, the method triggers interventions according to a user-defined policy. The method is evaluated on two real-life logs." @default.
- W4297798654 created "2022-10-01" @default.
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- W4297798654 date "2021-05-14" @default.
- W4297798654 modified "2023-10-12" @default.
- W4297798654 title "Prescriptive Process Monitoring for Cost-Aware Cycle Time Reduction" @default.
- W4297798654 doi "https://doi.org/10.48550/arxiv.2105.07111" @default.
- W4297798654 hasPublicationYear "2021" @default.
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