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2018 | OriginalPaper | Chapter

Lifecycle-Based Process Performance Analysis

Authors : Bart F. A. Hompes, Wil M. P. van der Aalst

Published in: On the Move to Meaningful Internet Systems. OTM 2018 Conferences

Publisher: Springer International Publishing

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Abstract

Many business processes are supported by information systems that record their execution. Process mining techniques extract knowledge and insights from such process execution data typically stored in event logs or streams. Most process mining techniques focus on process discovery (the automated extraction of process models) and conformance checking (aligning observed and modeled behavior). Existing process performance analysis techniques typically rely on ad-hoc definitions of performance. This paper introduces a novel comprehensive approach to process performance analysis from event data. Our generic technique centers around business artifacts, key conceptual entities that behave according to state-based transactional lifecycle models. We present a formalization of these concepts as well as a structural approach to calculate and monitor process performance from event data. The approach has been implemented in the open source process mining tool ProM and its applicability has been evaluated using public real-life event data.

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previous chapter Process Histories - Detecting and Representing Concept Drifts Based on Event Streams

next chapter A Relevance-Based Data Exploration Approach to Assist Operators in Anomaly Detection

\(\mathbb {R}^+_0 = \{ r \in \mathbb {R} \cup \{0\} \mid r \ge 0 \}\).

\(\mathbb {P}(X)\) denotes the powerset of a set X, i.e. \(Y \in \mathbb {P}(X) \iff Y \subseteq X \).

\(\mathbb {B}(X)\) denotes the set of multi-sets (bags) over a set X.

See http://promtools.org and the LifecyclePerformance package for more details.

For more information on the process and the data, see http://www.win.tue.nl/bpi/.

IEEE Standard for extensible event stream (XES) for achieving interoperability in event logs and event streams. IEEE Std 1849–2016, pp. 1–50, November 2016

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Title: Lifecycle-Based Process Performance Analysis
Authors: Bart F. A. Hompes
Wil M. P. van der Aalst
Publisher: Springer International Publishing
Book: On the Move to Meaningful Internet Systems. OTM 2018 Conferences
Print ISBN: 978-3-030-02609-7

Electronic ISBN: 978-3-030-02610-3

Copyright Year: 2018
DOI: https://doi.org/10.1007/978-3-030-02610-3_19

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