Conformance checking and performance improvement in scheduled processes: A queueing-network perspective

Arik Senderovich, Matthias Weidlich, Liron Yedidsion, Avigdor Gal, Avishai Mandelbaum, Sarah Kadish, Craig A. Bunnell

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

Abstract

Conceptual models of service processes enable operational analysis and may be constructed automatically from event logs containing recorded traces of process execution. In this work, we target the analysis of resource-driven, scheduled processes based on event logs. Specifically, we approach the questions of conformance checking (how to assess the conformance of the schedule and the actual process execution) and performance improvement (how to improve the operational process performance). The first question is addressed based on a comparative analysis of queueing networks for both the schedule and the actual process execution. These results of this analysis are used to improve the operational performance of a process: We suggest adaptations of the scheduling policy of the service process to decrease the tardiness (non-punctuality) and lower the flow time. The work summarized in this extended abstract has been published in [Se16].

ASJC Scopus subject areas

  • Computer Science (all)

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