Towards Goal-Oriented Business Process Model Repair

Takei, Taro; Horita, Hiroki

doi:10.1109/iiai-aai53430.2021.00123

Cited by 3 publications

(1 citation statement)

References 15 publications

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“…As a method for analyzing complex business processes, event logs can be filtered by focusing on Key Performance Indicators (KPIs) to extract only specific processes. There is a lot of research on analyzing business processes using KPIs [3][4][5][6][7][8][9][10][11][12], and by setting a KPI threshold, it is possible to extract and analyze only those processes that are of interest to the user. For example, if only event logs are extracted during busy periods, it is possible to analyze how they differ from normal processes.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Business Processes with Automatic Detection of KPI Thresholds and Process Discovery Based on Trace Variants

Taro Takei,

Hiroki Horita

2023

ReBICTE

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One effective way to analyze an event log of a complex business process is to filter the event log by a KPI threshold and then use an analysis algorithm. Event logs filtered by KPI thresholds are simpler and easier to understand than the original business process. KPI thresholds have conventionally had to be set through a trial-and-error process, but existing research has proposed an automatic KPI threshold detection method that reduces the time and effort required to search for a threshold value. In the existing method, an event log is first divided by an arbitrary number k, and a business process model is generated for the divided event log using a process discovery algorithm. By repeatedly aggregating similar business process models, it is possible to analyze how the business process models differ according to KPI values. However, the existing method requires trial-and-error to determine the value of k because the detection threshold and business process model vary depending on the value of k, which is time-consuming. Therefore, this paper proposes a method to automatically detect KPI thresholds by dividing event logs based on trace variants. Experimental results show that the business process models detected by the proposed method are simpler and the threshold detection time is significantly reduced.

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Section: Introductionmentioning

confidence: 99%

Analysis of Business Processes with Automatic Detection of KPI Thresholds and Process Discovery Based on Trace Variants

Taro Takei,

Hiroki Horita

2023

ReBICTE

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State of the Art: Automatic Generation of Business Process Models

Schüler,

Alpers

2024

Lecture Notes in Business Information Processing

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Opportunities for improving the processes of preparing legal acts by public authorities based on the process mining

Vasilieva

Dolganova

2023

Upravlenie

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The processes of creating legal acts must meet such criteria as transparency, controllability, compliance with regulations. However, currently the procedures are extremely bureaucratic, pre-planned and go through many instances during the preparation, approval and signing. Of course, most of these processes are necessary, time-tested and legally fixed. At the same time, there are operations that require optimisation, including due to their automation or robotisation. To identify them and ensure that the procedure meet the changing needs of the state, it is important to create conditions for continuous monitoring, timely identification and operational adaptation and optimisation of the rule-making activities of the authorities. In this regard, the issue of applying contemporary technologies and approaches to analysis and the formation of recommendations for improving proactive processes seems extremely relevant. The purpose of this study is to examine the currend specifics of the preparation of the legal acts by the federal executive authorities and to identify areas for this normative documents’ improvement based on the process mining. The research methods used were a literature review and the Russian legal framework analysis, a questionnaire survey and process modelling. The authors analyse how draft legal documents (government and presidential acts, federal laws) are developed in the Russian Federation. They demonstrate the need for a transition to smart management. Its principles will ensure efficiency and flexibility in the preparation of normative legal acts. The metrics for monitoring and controlling the execution of the relevant instructions are formulated and the prospects for the development of their information support as a result of the implementation of process mining technologies are highlighted.

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Towards Goal-Oriented Business Process Model Repair

Cited by 3 publications

References 15 publications

Analysis of Business Processes with Automatic Detection of KPI Thresholds and Process Discovery Based on Trace Variants

Analysis of Business Processes with Automatic Detection of KPI Thresholds and Process Discovery Based on Trace Variants

State of the Art: Automatic Generation of Business Process Models

Opportunities for improving the processes of preparing legal acts by public authorities based on the process mining

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